{"title":"Artificial Intelligence","description":null,"products":[{"product_id":"building-practical-skills-in-nlp-and-generative-ai","title":"Building Practical Skills in NLP and Generative AI","description":"\u003cdiv\u003e\n\u003cp\u003eWelcome to the 3-day intensive course on Building Practical Skills in NLP and Generative AI! This course is designed to equip you with a deep understanding and practical skills in the latest developments in Natural Language Processing (NLP) and Generative AI technologies.\u003c\/p\u003e\r\n\u003cp\u003eBy exploring foundational principles, advanced techniques, and real-world applications, this course will enable you to navigate and harness the capabilities of state-of-the-art AI models.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBuilding Practical Skills in NLP and Generative AI Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eThis course will address the following pain points:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eFoundation Building\u003c\/b\u003e: Gain a solid understanding of the core concepts behind Generative AI and NLP.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAdvanced Techniques\u003c\/b\u003e: Learn about the latest advancements in AI technologies including Transformers, GPT, and BERT architectures.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-On Application\u003c\/b\u003e: Participate in hands-on labs to apply concepts in real-world scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIndustry Insight\u003c\/b\u003e: Understand the applications of these technologies across various industries.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic knowledge of Python programming is required as labs and examples use Python.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with general machine learning concepts is recommended but not essential.\u003c\/li\u003e\n\u003cli\u003eNo advanced mathematical or deep learning knowledge is required upfront.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eSkills in NLP and Generative AI Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 1: Foundations of Generative AI and NLP Basics\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introduction to Generative AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOverview of Generative AI and its evolution.\u003c\/li\u003e\n\u003cli\u003eIntroduction to Large Language Models (LLMs).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Core Concepts of NLP\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstanding Tokens, Embeddings, and Transformers.\u003c\/li\u003e\n\u003cli\u003eArchitectural insights into NLP systems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Practical Applications\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExploration of real-world applications of LLMs in various sectors.\u003c\/li\u003e\n\u003cli\u003eFuture visions in AI technologies.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab 1: Hands-On with LangChain and VectorDB\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing LangChain tools and VectorDB for enhanced NLP workflows.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 2: Deep Dive into Prompt Engineering and Advanced NLP\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Prompt Engineering Essentials\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFundamentals of crafting effective prompts for AI.\u003c\/li\u003e\n\u003cli\u003eTechniques for refining AI outputs and iterative prompt engineering.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Advanced NLP Techniques\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIn-depth exploration of Bag-of-Words, TF-IDF, and modern word embeddings.\u003c\/li\u003e\n\u003cli\u003eUtilizing Python for complex NLP tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab 2: Building Advanced NLP Models\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImplementing practical NLP solutions using advanced techniques.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Introduction to Sequential Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDeep dive into RNNs, LSTMs, and the use of attention mechanisms.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab 3: Implementing LSTM for Text Generation\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eYou'll get hands-on experience with LSTMs by using them to generate text.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 3: Exploring Advanced Architectures and Predictive Analytics\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Understanding Advanced Generative Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOverview of Seq2Seq, Autoencoders, and the innovation of attention in these models.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab 4: Implementing a Seq2Seq Model for Machine Translation\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIn this lab, you will use a Seq2Seq model to build a simple machine translation system.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 8: Deep Learning Architectures\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eComparative analysis of GPT and BERT architectures.\u003c\/li\u003e\n\u003cli\u003eUnderstanding their applications and advancements.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab 5: Applying LLMs in Predictive Analytics\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePractical session on leveraging LLMs for data augmentation and analysis.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 9: Future of AI and Wrap-Up\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDiscussions on the ethical implications and future trends in AI.\u003c\/li\u003e\n\u003cli\u003eReview of the course content and guidance for further learning.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A99US \/ 2026-07-22T09:00:00 \/ Aurora, CO","offer_id":47534215856347,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"268A69US \/ 2026-08-19T09:00:00 \/ Bellevue, WA","offer_id":47534215889115,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269A71US \/ 2026-09-09T09:00:00 \/ Herndon, VA","offer_id":47572779565275,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"267D24US \/ 2026-07-08T09:00:00 \/ New York","offer_id":48216534810843,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269A76CN \/ 2026-09-23T09:00:00 \/ Ottawa","offer_id":48216534843611,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BB28US \/ 2026-11-04T09:00:00 \/ Austin","offer_id":48216534876379,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BB29US \/ 2026-11-23T09:00:00 \/ New York","offer_id":48216534909147,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A14CN \/ 2027-02-17T09:00:00 \/ Ottawa","offer_id":48270695006427,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273B08US \/ 2027-03-10T09:00:00 \/ Herndon, VA","offer_id":48334727938267,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274A97US \/ 2027-04-07T09:00:00 \/ Austin","offer_id":48570240434395,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274A98US \/ 2027-04-21T09:00:00 \/ New York","offer_id":48619719819483,"sku":"US-1293-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"prompt-engineering-automation-with-python-course","title":"Prompt Engineering Automation with Python Course","description":"\u003cdiv\u003e\n\u003cp\u003eWelcome to the 5-day artificial intelligence and prompt engineering course! This exciting and cutting-edge \u003cstrong\u003ePrompt Engineering Automation with Python Course \u003c\/strong\u003eshows you how to automate prompting with Python to get the most value out of artificial intelligence. \u003c\/p\u003e\r\n\u003cp\u003eYou will explore the latest and most powerful Python and LangChain tools so you can automate agents. Emphasis is placed on balancing creative ambition with controlled responsibility to unlock sustainable business value.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003ePrompt Engineering Automation with Python Course Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eBenefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eUnderstanding how best practice Python can help business:\u003c\/b\u003e This course shows how to get the most out of combining Python tools with large language models, using the LangChain Python framework and techniques such as prompt templates, chains, vector embeddings and agents.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLeveraging the full range of automated AI tools available:\u003c\/b\u003e Use large language models to automatically combine the value in your business files with freely available public data.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eApplying autonomous and best practice prompting techniques:\u003c\/b\u003e With practical business use cases, this course provides hands-on coding for real-time competitor analysis, dynamic marketing and insightful recruitment strategies relevant to all industries.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMust be able to write and run basic Python scripts.\u003c\/li\u003e\n\u003cli\u003eFamiliar with principles of libraries and API calls.\u003c\/li\u003e\n\u003cli\u003eWorking knowledge of writing prompts for chat models.\u003c\/li\u003e\n\u003cli\u003eComfortable with various AI outputs.\u003c\/li\u003e\n\u003cli\u003eExperience with AI-generated conversations and hallucinations.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003ePrompt Engineering with Python Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 1: Introduction to LangChain with Python\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eWhy Python is required for advanced prompt engineering\u003c\/li\u003e\n\u003cli\u003eLangChain Python framework overview\u003c\/li\u003e\n\u003cli\u003eLangChain tools - LLM, search, retrievers, chains, agents\u003c\/li\u003e\n\u003cli\u003ePrompt engineering with Python\u003c\/li\u003e\n\u003cli\u003eQuerying LLMs with Python\u003cb\u003e\u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 2: LangChain tools deep dive\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIn-depth review of the five main LangChain tools: LLM, search, retrievers, chains, agents\u003c\/li\u003e\n\u003cli\u003eHands-on exercises using Python on each tool\u003c\/li\u003e\n\u003cli\u003ePrompt injection and sequencing with chains\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 3: LangChain Agents and Automation\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eConfiguring LangChain agents\u003c\/li\u003e\n\u003cli\u003eAgent automation with Python\u003c\/li\u003e\n\u003cli\u003eMonitoring and debugging agents\u003c\/li\u003e\n\u003cli\u003eReviewing agents’ readiness for production\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 4: Prompt theory and templates\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eCreating effective, prompt templates\u003c\/li\u003e\n\u003cli\u003eInjecting dynamic data into prompts\u003c\/li\u003e\n\u003cli\u003eStoring prompts \u0026amp; outputs in vector databases\u003c\/li\u003e\n\u003cli\u003eUse cases for scaling prompts\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDay 5: Commercial Use Cases and Assessment\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eReal-world business applications of LangChain\u003c\/li\u003e\n\u003cli\u003eHands-on workshop solving sample business challenges\u003c\/li\u003e\n\u003cli\u003eDeveloping an end-to-end LangChain solution\u003c\/li\u003e\n\u003cli\u003ePresentations and review\u003c\/li\u003e\n\u003cli\u003eCapstone assessment applying skills to a new commercial use case\u003c\/li\u003e\n\u003cli\u003eFuture applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A74US \/ 2026-06-08T09:00:00 \/ Online","offer_id":47534187544795,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"268A71US \/ 2026-08-10T09:00:00 \/ Herndon, VA","offer_id":47534187577563,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"267A71CN \/ 2026-07-20T09:00:00 \/ Ottawa","offer_id":48216567808219,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"26AA11CN \/ 2026-10-26T09:00:00 \/ Ottawa","offer_id":48216567840987,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"26BB31US \/ 2026-11-30T09:00:00 \/ Herndon, VA","offer_id":48216567873755,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"272A15CN \/ 2027-02-01T09:00:00 \/ Ottawa","offer_id":48216567906523,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"273B10US \/ 2027-03-08T09:00:00 \/ Herndon, VA","offer_id":48329827844315,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true},{"title":"275A14CN \/ 2027-05-03T09:00:00 \/ Ottawa","offer_id":48736206553307,"sku":"US-1296-IL","price":2796.0,"currency_code":"USD","in_stock":true}]},{"product_id":"introduction-to-artificial-intelligence-ai","title":"Introduction to Artificial Intelligence (AI)","description":"\u003cdiv\u003e\u003cp\u003eIn this hands-on \u003cstrong\u003eIntroduction to Artificial Intelligence course\u003c\/strong\u003e, we will introduce you to the key concepts in modern AI and discuss how they apply to you and your business. You will get “hands-on” with AI technologies and gain an appreciation of what is happening under the surface while discussing many of the challenges that are holding back the adoption of these tools.\u003cspan data-ccp-props='{\"201341983\":0,\"335559739\":160,\"335559740\":259}'\u003e \u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to Artificial Intelligence (AI) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will learn how to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003eDiscover how artificial intelligence can assist businesses.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli paraeid=\"{f4d0e045-4da1-4d9d-bd60-6ace093abfdd}{223}\" paraid=\"557414515\"\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003eLearn how machine learning models enable quick, reliable, and uniform decision-making.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli paraeid=\"{f4d0e045-4da1-4d9d-bd60-6ace093abfdd}{230}\" paraid=\"885957179\"\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003eExplore the fascinating world of deep learning, where computers gain the ability to interpret images in novel ways.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli paraeid=\"{f4d0e045-4da1-4d9d-bd60-6ace093abfdd}{237}\" paraid=\"1983018810\"\u003e\n\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003eUnderstand the limitations of AI and the risks associated with its adoption.\u003c\/span\u003e\u003c\/span\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eAfter completing the “Introduction to AI” course, you will have the confidence to discuss and evaluate AI solutions.\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eIntroduction to Artificial Intelligence Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: What is Artificial Intelligence?\u003c\/h4\u003e\n\u003cp\u003eIn this module, we will define artificial intelligence, the different terms, and technologies available within AI, and discuss some of the constraints and limitations to those technologies.\u003c\/p\u003e\n\u003cp\u003eObjectives:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat are the different terms the fall under Artificial Intelligence, and what do they mean to me?\u003c\/li\u003e\n\u003cli\u003eHow should we define “intelligence”?\u003c\/li\u003e\n\u003cli\u003eWhat technology is available with AI?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Machines that learn\u003c\/h4\u003e\n\u003cp\u003eHow do machines make these fast, accurate, consistent decisions?\u003c\/p\u003e\n\u003cp\u003eObjectives:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is machine learning?\u003c\/li\u003e\n\u003cli\u003eHow can these technologies benefit an organization?\u003c\/li\u003e\n\u003cli\u003eBest practices associated with machine learning\u003c\/li\u003e\n\u003cli\u003eHow can you tell if a machine learning model is effective?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Exploring Generative AI and ChatGPT\u003c\/h4\u003e\n\u003cp\u003eIn this module, we delve into the realm of generative AI and its applications, focusing on the powerful tool known as ChatGPT. \u003c\/p\u003e\n\u003cp\u003eObjectives:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the limitations and ethical considerations associated with generative AI technology.\u003c\/li\u003e\n\u003cli\u003eIdentify alternative generative AI tools and approaches available in the market.\u003c\/li\u003e\n\u003cli\u003eExplore the versatility of generative AI by leveraging it to create both textual content and images.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Protecting AI Systems\u003c\/h4\u003e\n\u003cp\u003eIn this module, we discuss the dangers of AI and how to keep yourself, and your organization, safe while using these tools.\u003c\/p\u003e\n\u003cp\u003eObjectives:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHow do you secure Artificial Intelligence?\u003c\/li\u003e\n\u003cli\u003eWhat are the risks of Artificial Intelligence?\u003c\/li\u003e\n\u003cli\u003eBest practices for protecting your business, and your privacy\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: AI, society, and ethics\u003c\/h4\u003e\n\u003cp\u003eWhat happens when we delegate decision-making to the machines?\u003c\/p\u003e\n\u003cp\u003eObjectives:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat types of biases drive from AI systems, and how can we mitigate those?\u003c\/li\u003e\n\u003cli\u003eHow does a business ensure they are being ethical while using AI?\u003c\/li\u003e\n\u003cli\u003eWhat impact does AI have on society, and how do you navigate these impacts in a business context?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: The future of AI\u003c\/h4\u003e\n\u003cp\u003eIn this module, we sketch various AI-fueled scenarios, and consider how likely they are to come to fruition.\u003c\/p\u003e\n\u003cp\u003eObjectives:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is the threat of AI on humanity, on our businesses?\u003c\/li\u003e\n\u003cli\u003eWhat does the future of work and business look like?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A11US \/ 2026-06-05T09:00:00 \/ Online","offer_id":47250436161755,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"267A14US \/ 2026-07-06T09:00:00 \/ Online","offer_id":47260364701915,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268A08US \/ 2026-08-10T09:00:00 \/ Online","offer_id":47406007484635,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269A28US \/ 2026-09-21T09:00:00 \/ Online","offer_id":47618951184603,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA25US \/ 2026-10-13T09:00:00 \/ Online","offer_id":48041970434267,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA19US \/ 2026-11-16T09:00:00 \/ Online","offer_id":48050286919899,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CA22US \/ 2026-12-14T09:00:00 \/ Online","offer_id":48053167784155,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A11US \/ 2027-01-11T09:00:00 \/ Online","offer_id":48119429824731,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A04US \/ 2027-02-08T09:00:00 \/ Online","offer_id":48230039584987,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A12US \/ 2027-03-15T09:00:00 \/ Online","offer_id":48363059249371,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A08US \/ 2027-04-13T09:00:00 \/ Online","offer_id":48588040634587,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A09US \/ 2027-05-14T09:00:00 \/ Online","offer_id":48770330886363,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269D14US \/ 2026-09-01T09:00:00 \/ Online","offer_id":48837146902747,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269D15US \/ 2026-09-28T09:00:00 \/ Online","offer_id":48837146935515,"sku":"US-4700-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"components-of-a-big-data-and-ai-solution-introduction","title":"Components of a Big Data and AI Solution Introduction","description":"\u003cdiv\u003e\n\u003cp\u003eUnlock the true potential of your business with our cutting-edge \u003cstrong\u003eComponents of a Data and AI Solution\u003c\/strong\u003e course! This hands-on introduction takes you on a transformative journey from raw data to invaluable insights, leveraging the power of data and AI. Gain a competitive edge by understanding what tools can do and how to extract real business value from their output.\u003c\/p\u003e\r\n\u003cp\u003eOur comprehensive training integrates an overarching view of the data-to-insights process with focused data science expertise, empowering you to store, manage, process, and analyze massive volumes of structured and unstructured data. Plus, decision-makers benefit significantly from exposure to available options and establishing a common vocabulary with technical practitioners.\u003c\/p\u003e\r\n\u003cp\u003eMaximize your potential with our Components of a Data and AI Solution training today!\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eComponents of a Big Data and AI Solution Introduction Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eStore, manage, and analyze structured and unstructured data.\u003c\/li\u003e\n\u003cli\u003eSelect the appropriate storage type for different datasets.\u003c\/li\u003e\n\u003cli\u003eProcess large datasets efficiently using distributed systems like HDFS and Spark to extract valuable insights.\u003c\/li\u003e\n\u003cli\u003eApply common machine learning techniques such as clustering, classification, and regression using SparkML and Python.\u003c\/li\u003e\n\u003cli\u003eHarness the power of generative models like ChatGPT programmatically.\u003c\/li\u003e\n\u003cli\u003eBenefit from continued support with post-course one-on-one instructor coaching.\u003c\/li\u003e\n\u003cli\u003eAccess a computing sandbox for hands-on practice and experimentation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData and AI Solution Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Data and the Enterprise\u003c\/h4\u003e\n\u003cp\u003eDefine the importance of data and its analysis in today's data-driven world\u003c\/p\u003e\n\u003cp\u003eDifferentiate between different types of data\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Storing and Querying Data\u003c\/h4\u003e\n\u003cp\u003eDescribe different types of data storage\u003c\/p\u003e\n\u003cp\u003eAssess the quality of data\u003c\/p\u003e\n\u003cp\u003eOutline the ETL and ELT processes\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: HDFS, Spark, and Kafka\u003c\/h4\u003e\n\u003cp\u003eDefine Hadoop and HDFS\u003c\/p\u003e\n\u003cp\u003eDescribe Spark\u003c\/p\u003e\n\u003cp\u003eWork with Kafka\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: NoSQL Databases\u003c\/h4\u003e\n\u003cp\u003eDefine NoSQL\u003c\/p\u003e\n\u003cp\u003eIntroduce the different types of Big Data data stores\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKey-value\u003c\/li\u003e\n\u003cli\u003eDocument\u003c\/li\u003e\n\u003cli\u003eColumn family\u003c\/li\u003e\n\u003cli\u003eGraph\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eGain experience using Big Data data stores, including\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRedis\u003c\/li\u003e\n\u003cli\u003eMongoDB\u003c\/li\u003e\n\u003cli\u003eCassandra\u003c\/li\u003e\n\u003cli\u003eNeo4j\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePerform text searches with Lucene and Elasticsearch\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Analyzing and Interpreting Data\u003c\/h4\u003e\n\u003cp\u003eDiscuss statistical analysis of Data\u003c\/p\u003e\n\u003cp\u003eExplore machine learning including\u003c\/p\u003e\n\u003cp\u003eRecommendations\u003c\/p\u003e\n\u003cp\u003eClustering\u003c\/p\u003e\n\u003cp\u003eClassification\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Neural Networks\u003c\/h4\u003e\n\u003cp\u003eIntroduce key ideas behind neural networks\u003c\/p\u003e\n\u003cp\u003eUtilize deep neural networks for more complex problems\u003c\/p\u003e\n\u003cp\u003eExamine generational neural networks\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Visualization\u003c\/h4\u003e\n\u003cp\u003eVisualize data to communicate results\u003c\/p\u003e\n\u003cp\u003eExamine plots used for different purposes\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A34US \/ 2026-08-26T09:00:00 \/ Herndon, VA","offer_id":47534217035995,"sku":"US-1250-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"267D01US \/ 2026-07-22T09:00:00 \/ Online","offer_id":48216544346331,"sku":"US-1250-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA53US \/ 2026-11-23T09:00:00 \/ Herndon, VA","offer_id":48216544379099,"sku":"US-1250-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271A74US \/ 2027-01-20T09:00:00 \/ Herndon, VA","offer_id":48216544411867,"sku":"US-1250-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273A59US \/ 2027-03-23T09:00:00 \/ Herndon, VA","offer_id":48500533362907,"sku":"US-1250-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A54US \/ 2027-05-26T09:00:00 \/ Herndon, VA","offer_id":48805406998747,"sku":"US-1250-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"leveraging-deep-learning-for-natural-language-processing-course","title":"Leveraging Deep Learning for Natural Language Processing Course","description":"\u003cdiv\u003e\u003cp\u003eIn this \u003cstrong\u003eNatural Language Processing course\u003c\/strong\u003e, you will learn how to navigate the various text pre-processing techniques and select the best neural network architecture for Natural Language Processing.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eLeveraging Deep Learning for Natural Language Processing Course Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you learn how to:\u003c\/strong\u003e \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand various pre-processing techniques for deep learning problems.\u003c\/li\u003e\n\u003cli\u003eBuild a vector representation of text using word2vec and GloVe.\u003c\/li\u003e\n\u003cli\u003eCreate a named entity recognizer and parts-of-speech tagger with Apache OpenNLP.\u003c\/li\u003e\n\u003cli\u003eBuild a machine translation model in Keras, a deep learning API.\u003c\/li\u003e\n\u003cli\u003eDevelop a text Career Stages application using Long short-term memory (LSTM).\u003c\/li\u003e\n\u003cli\u003eBuild a trigger word detection application using an attention model.\u003c\/li\u003e\n\u003cli\u003eTest your knowledge in the included end-of-course exam.\u003c\/li\u003e\n\u003cli\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eNatural Language Processing Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Introduction to Natural Language Processing\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe basics of Natural Language Processing and its applications\u003c\/li\u003e\n\u003cli\u003ePopular text pre-processing techniques\u003c\/li\u003e\n\u003cli\u003eWord2vec and Glove word embeddings Sentiment classification\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Applications of Natural Language Processing\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNamed Entity Recognition and how to develop it using popular libraries\u003c\/li\u003e\n\u003cli\u003eParts of Speech Tagging\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Introduction to Neural Networks\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasics of Gradient descent and backpropagation.\u003c\/li\u003e\n\u003cli\u003eFundamentals of Deep Learning, Keras and deploying a Model-as-a-Service (MaaS)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Foundations of Convolutional Neural Networks (CNN)\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIn this module, you will learn about CNN architecture, application areas, and implementation using Keras.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Recurrent Neural Networks (RNN)\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIn this module, you will learn about RNN architecture, application areas, vanishing gradients, and implementation using Keras.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Gated Recurrent Units (GRU)\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIn this module, you will learn about GRU architecture, application areas, and implementation using Keras.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Long Short-Term Memory (LSTM)\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIn this module, you will learn about LSTM architecture, application areas, and implementation using Keras.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: State of the Art in Natural Language Processing\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePerform Attention Model and Beam search\u003c\/li\u003e\n\u003cli\u003eUse End to End models for speech processing\u003c\/li\u003e\n\u003cli\u003eUse Dynamic Neural Networks to answer questions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: A Practical NLP Project Workflow in an Organization\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAcquire data using free datasets and crowdsourcing\u003c\/li\u003e\n\u003cli\u003eUse cloud infrastructure, such as the Google collab notebook, to train deep learning NLP models\u003c\/li\u003e\n\u003cli\u003eWrite a Flask framework server Rest\u003cabbr title=\"Application Programming Interface\"\u003eAPI\u003c\/abbr\u003e to deploy a model\u003c\/li\u003e\n\u003cli\u003eDeploy the web service on cloud infrastructures such as Amazon Elastic Compute Cloud (Amazon EC2) or Docker Cloud\u003c\/li\u003e\n\u003cli\u003eLeverage the promising techniques in \u003cabbr title=\"Natural Language Processing\"\u003eNLP\u003c\/abbr\u003e, such as Bidirectional Encoder Representations from Transformers (BERT)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Logical Operations","offers":[{"title":"268A54US \/ 2026-08-26T09:00:00 \/ Herndon, VA","offer_id":47534217461979,"sku":"US-1278-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA95US \/ 2026-11-23T09:00:00 \/ Herndon, VA","offer_id":48216566169819,"sku":"US-1278-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A64US \/ 2027-02-24T09:00:00 \/ Herndon, VA","offer_id":48294630752475,"sku":"US-1278-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A88US \/ 2027-05-26T09:00:00 \/ Herndon, VA","offer_id":48805407162587,"sku":"US-1278-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"graph-databases-for-data-analytics-and-ai","title":"Graph Databases for Data Analytics and AI","description":"\u003cdiv\u003e\n\u003cp\u003eIn this \u003cstrong\u003eGraph Databases for Data Analytics and AI Training\u003c\/strong\u003e course, you will learn how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases. You will see practical and profitable use cases and understand the importance of graph data in today’s world. You will master the practical aspects of importing and exporting data for graph databases, and how graph databases are searched and queried.\u003c\/p\u003e\r\n\u003cp\u003eGraph databases are also ideal for the representation of human knowledge, not just simple facts. You will understand how knowledgebase graphs integrate with artificial intelligence systems and learn to use these systems to provide business analyses and insights.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGraph Databases for Data Analytics and AI Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn what graph data is and why graph data is critical in today’s business environment.\u003c\/li\u003e\n\u003cli\u003eSee how businesses and government agencies are using graph data.\u003c\/li\u003e\n\u003cli\u003eExplore the differences among the many graph database platforms.\u003c\/li\u003e\n\u003cli\u003eUnderstand the different file formats used to import and export graph data.\u003c\/li\u003e\n\u003cli\u003eQuery graph databases to obtain specialized data and important insights.\u003c\/li\u003e\n\u003cli\u003eUnderstand the differences among the different query languages for graph data.\u003c\/li\u003e\n\u003cli\u003eLearn how human knowledge can be represented using knowledge graphs.\u003c\/li\u003e\n\u003cli\u003eConstruct a database of knowledge, as opposed to simple facts.\u003c\/li\u003e\n\u003cli\u003eUse a “knowledgebase” to infer new insights not present in the stored data.\u003c\/li\u003e\n\u003cli\u003eUnderstand how the techniques of graph data and advanced neural networks can work together for advanced data analytic and artificial intelligence systems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eAttendees should have a general understanding of the fundamentals of databases, but database experience is not required. Experience with some programming or scripting language is expected, but a detailed knowledge or Python is not required.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eGraph Databases for Data Analytics and AI Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Why Graph Databases are Important\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives\u003c\/b\u003e:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand what graph data is and why it is important\u003c\/li\u003e\n\u003cli\u003eExplore a few or the many practical applications of graph databases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat are graphs?\u003c\/li\u003e\n\u003cli\u003eHow graphs are used to provide structure to data\u003c\/li\u003e\n\u003cli\u003eBusiness use-cases of graph databases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Foundations of Graphs and Graph Data\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eStoring graph data in simple files\u003c\/li\u003e\n\u003cli\u003eWhat is a relational database?\u003c\/li\u003e\n\u003cli\u003eHow graph databases differ from traditional relational databases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHow graphs are used to provide structure to data\u003c\/li\u003e\n\u003cli\u003eGraph software\u003c\/li\u003e\n\u003cli\u003eGraph data in files\u003c\/li\u003e\n\u003cli\u003eFile format alternatives\u003c\/li\u003e\n\u003cli\u003eScripts for manipulating and characterising graph data\u003c\/li\u003e\n\u003cli\u003eDiagramming graphs\u003c\/li\u003e\n\u003cli\u003eDiagramming graphs with Python\u003c\/li\u003e\n\u003cli\u003eUsing GraphViz software\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Graph Database Platforms\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExamine commercial graph database systems\u003c\/li\u003e\n\u003cli\u003eUnderstand the differences among graph database systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOptions for graph database systems\u003c\/li\u003e\n\u003cli\u003eIntroduction to Neo4j\u003c\/li\u003e\n\u003cli\u003eIntroduction to GraphDB\u003c\/li\u003e\n\u003cli\u003eIntroduction to CogniPy\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Querying and Analysing Graph Data\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how to query data in a graph database\u003c\/li\u003e\n\u003cli\u003eUnderstand the differences among graph database query languages\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing the Neo4j browser\u003c\/li\u003e\n\u003cli\u003eThe Cypher® graph query language\u003c\/li\u003e\n\u003cli\u003eStructure of Cypher® queries\u003c\/li\u003e\n\u003cli\u003eViewing and interpreting query results\u003c\/li\u003e\n\u003cli\u003eOther graph query languages\u003c\/li\u003e\n\u003cli\u003eGraphQL\u003c\/li\u003e\n\u003cli\u003eGremlin\u003c\/li\u003e\n\u003cli\u003eSPARQL\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Using Graph Database APIs to Build Systems\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand how APIs are used to build a system\u003c\/li\u003e\n\u003cli\u003eExplore some examples using Python\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing Python to manage and query a Neo4j graph database\u003c\/li\u003e\n\u003cli\u003eHow graphs are used to provide structure to data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Knowledge Graphs\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how human knowledge can be represented in graph data using semantic nets\u003c\/li\u003e\n\u003cli\u003eCreate a simple knowledge graph\u003c\/li\u003e\n\u003cli\u003eUnderstand ontologies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSemantic nets and the Resource Description Framework (RDF)\u003c\/li\u003e\n\u003cli\u003eFormats for representing RDF triples\u003c\/li\u003e\n\u003cli\u003eOntologies\u003c\/li\u003e\n\u003cli\u003eThe structure of ontology documents\u003c\/li\u003e\n\u003cli\u003eTools for creating and editing ontologies\u003c\/li\u003e\n\u003cli\u003eProtege and other Tools\u003c\/li\u003e\n\u003cli\u003eSemantic Nets and Knowledge graphs\u003c\/li\u003e\n\u003cli\u003eLoading knowledge graphs into a graph database\u003c\/li\u003e\n\u003cli\u003eApplying logic-based “reasoners” to knowledge graphs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Graph Neural Networks\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eObjectives:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the Need for “Hybrid” AI\u003c\/li\u003e\n\u003cli\u003eApplying convolutional neural networks to graph data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e“Hybrid” AI\u003c\/li\u003e\n\u003cli\u003eCreating graph neural networks\u003c\/li\u003e\n\u003cli\u003eApplying convolutional neural networks to graph data\u003c\/li\u003e\n\u003cli\u003eReview the basics of convolutional neural networks\u003c\/li\u003e\n\u003cli\u003eTraining the hybrid AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267D25US \/ 2026-07-08T09:00:00 \/ Herndon, VA","offer_id":48216547131611,"sku":"US-1294-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269C45US \/ 2026-09-09T09:00:00 \/ Herndon, VA","offer_id":48216547164379,"sku":"US-1294-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BB30US \/ 2026-11-04T09:00:00 \/ Herndon, VA","offer_id":48216547197147,"sku":"US-1294-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271B29US \/ 2027-01-06T09:00:00 \/ Herndon, VA","offer_id":48216547229915,"sku":"US-1294-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273B09US \/ 2027-03-10T09:00:00 \/ Herndon, VA","offer_id":48334734295259,"sku":"US-1294-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275B17US \/ 2027-05-12T09:00:00 \/ Herndon, VA","offer_id":48762861191387,"sku":"US-1294-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"introduction-to-python-for-data-analytics","title":"Introduction to Python for Data Analytics","description":"\u003cdiv\u003e\u003cp\u003eGain the skills you need to analyse and visualise data with Python. In this Python training, you learn the fundamentals of Python programming with a focus on data analytics, and work with popular statistical computing libraries — like numPy, Pandas, sciPy, and Scikit-learn — that allow you to begin analysing data to answer key business questions.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to Python for Data Analytics Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse Python for statistical data analysis.\u003c\/li\u003e\n\u003cli\u003eGenerate summary statistics with pandas.\u003c\/li\u003e\n\u003cli\u003eClean, transform, and reshape data.\u003c\/li\u003e\n\u003cli\u003eGlean insights from the data through visualisation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003ePython for Data Analytics Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eInstructor-Led Training Modules\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eWorking with data stored in pandas data frame objects\u003c\/li\u003e\n\u003cli\u003eGenerating summary statistics with pandas\u003c\/li\u003e\n\u003cli\u003eMining text with Natural Language Processing (NLP) and Large Language Models (LLMs)\u003c\/li\u003e\n\u003cli\u003ePlotting and visualising data using MatPlotLib\u003c\/li\u003e\n\u003cli\u003eMaking use of scikit-Learn to mine and analyse a data set\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A15US \/ 2026-07-15T09:00:00 \/ Online","offer_id":47260364767451,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269A23US \/ 2026-09-15T09:00:00 \/ Online","offer_id":47595017437403,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268C60US \/ 2026-08-20T09:00:00 \/ Online","offer_id":48039759446235,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA16US \/ 2026-11-17T09:00:00 \/ Online","offer_id":48050286624987,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A03US \/ 2027-01-06T09:00:00 \/ Online","offer_id":48105505784027,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A07US \/ 2027-02-17T09:00:00 \/ Online","offer_id":48270694940891,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A03US \/ 2027-04-05T09:00:00 \/ Online","offer_id":48556120604891,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A11US \/ 2027-05-17T09:00:00 \/ Online","offer_id":48778580328667,"sku":"US-4509-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"introduction-to-ai-data-science-machine-learning-with-python","title":"Introduction to AI, Data Science \u0026 Machine Learning with Python","description":"\u003cdiv\u003e\n\u003cp\u003eData science is a field that has exploded in popularity in recent years, and for good reason. Companies across industries are increasingly relying on data to inform their decision-making, and skilled data scientists are in high demand. In this comprehensive course, you'll learn the foundational skills and techniques you need to succeed in this exciting field.\u003c\/p\u003e\r\n\u003cp\u003eYou'll start by exploring the role of a data scientist and the lifecycle of data science efforts within an organization. Then, you'll dive into the technical skills you need, such as using Python and its relevant libraries for data analysis and visualization, preprocessing unstructured data, and building AI\/ML models.\u003c\/p\u003e\r\n\u003cp\u003eYou'll also explore key machine learning algorithms, including linear regression, decision tree classifiers, and clustering algorithms. And, you'll learn how to apply these techniques to real-world problems, such as predicting customer churn and building recommendation engines.\u003c\/p\u003e\r\n\u003cp\u003eThroughout the \u003cstrong\u003edata science training\u003c\/strong\u003e, you'll have the opportunity to work on hands-on exercises and projects, allowing you to practice your skills and build your portfolio. By the end of the course, you'll have a deep understanding of the data science process, the tools and techniques used by data scientists, and the ability to apply these skills to real-world problems.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to AI, Data Science \u0026amp; Machine Learning with Python Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConsider how traditional Predictive Machine Learning techniques combine Generative AI, Agentic AI, Multimodal AI and Deepseek-R1 approaches in the current Data Science landscape.\u003c\/li\u003e\n\u003cli\u003eTranslate everyday business questions and problems into Machine Learning tasks to make data-driven decisions.\u003c\/li\u003e\n\u003cli\u003eUse Python Pandas, Matplotlib \u0026amp; Seaborn libraries to explore, analyze, and visualize data from various sources, including the web, word documents, email, NoSQL stores, databases, and data warehouses.\u003c\/li\u003e\n\u003cli\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003eExplore the concepts behind Foundation Models, Generative Pre-trained Transformers (GPTs), and Retrieval Augmented Generation (RAGs).\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eTrain a Machine Learning Classifier using different algorithmic techniques from the Scikit-Learn library, such as Decision Trees, Logistic Regression, and Neural Networks.\u003c\/li\u003e\n\u003cli\u003eRe-segment your customer market using K-Means and Hierarchical algorithms to better align products and services to customer needs.\u003c\/li\u003e\n\u003cli\u003eDiscover hidden customer behaviors from Association Rules and build a Recommendation Engine based on behavioral patterns.\u003c\/li\u003e\n\u003cli\u003eInvestigate relationships \u0026amp; flows between people and business-relevant entities using Social Network Analysis.\u003c\/li\u003e\n\u003cli\u003eBuild predictive models of revenue and other numeric variables using Linear Regression.\u003c\/li\u003e\n\u003cli\u003eTest your knowledge with the included end-of-course exam.\u003c\/li\u003e\n\u003cli\u003eLeverage continued support with after-course one-on-one instructor coaching and computing sandbox.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Science Training in Python Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: The Role of a Data Scientist: Combining Technical and Non-Technical Skills\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is the required skillset of a Data Scientist?\u003c\/li\u003e\n\u003cli\u003eCombining the technical and non-technical roles of a Data Scientist\u003c\/li\u003e\n\u003cli\u003eThe difference between a Data Scientist and a Data Engineer\u003c\/li\u003e\n\u003cli\u003eExploring the entire lifecycle of Data Science efforts within the organization\u003c\/li\u003e\n\u003cli\u003eTurning business questions into Machine Learning (ML) and Artificial Intelligence (AI) models\u003c\/li\u003e\n\u003cli\u003eExploring diverse and wide-ranging data sources that you can use to answer business questions\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003eExplore the concepts behind Foundation Models, Generative Pre-trained Transformers (GPTs), and Retrieval Augmented Generation (RAGs)\u003c\/span\u003e\u003cspan data-ccp-props=\"{}\"\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Data Manipulation and Visualization using Python's Pandas and Matplotlib Libraries\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroducing the features of Python that are relevant to Data Scientists and Data Engineers\u003c\/li\u003e\n\u003cli\u003eViewing Data Sets using Python’s Pandas library\u003c\/li\u003e\n\u003cli\u003eImporting, exporting, and working with all forms of data, from Relational Databases to Google Images\u003c\/li\u003e\n\u003cli\u003eUsing Python Selecting, Filtering, Combining, Grouping, and Applying Functions from Python's Pandas library\u003c\/li\u003e\n\u003cli\u003eDealing with Duplicates, Missing Values, Rescaling, Standardizing, and Normalizing Data\u003c\/li\u003e\n\u003cli\u003eVisualizing data for both exploration and communication with the Pandas, Matplotlib, and Seaborn Python libraries\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Preprocessing and Analyzing Unstructured Data with Natural Language Processing\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePreprocessing Unstructured Data such as web adverts, emails, and blog posts for AI\/ML models\u003c\/li\u003e\n\u003cli\u003eExploring the most popular approaches to Natural Language Processing (NLP), such as stemming and \"stop\" words\u003c\/li\u003e\n\u003cli\u003ePreparing a term-document matrix (TDM) of unstructured documents for analysis\u003c\/li\u003e\n\u003cli\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003eReview the architectures of Foundation Models, Generative Pre-trained Transformers (GPTs), and Retrieval Augmented Generation (RAGs)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eLook at how Data Scientists can integrate Large Language Models (LLMs) in their work\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Linear Regression and Feature Engineering for Business Problem Solving\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExpressing a business problem, such as customer revenue prediction, as a linear regression task\u003c\/li\u003e\n\u003cli\u003eAssessing variables as potential Predictors of the required Target (e.g., Education as a predictor of Salary Build)\u003c\/li\u003e\n\u003cli\u003eInterpreting and Evaluating a Linear Regression model in Python using measures such as RMSE\u003c\/li\u003e\n\u003cli\u003eExploring the Feature Engineering possibilities to improve the Linear Regression model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Classification Models and Evaluation for Predictive Analysis\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eLearning how AI\/ML Classifiers are built and used to make predictions such as Customer Churn\u003c\/li\u003e\n\u003cli\u003eExploring how AI\/ML Classification models are built using Training, Test, and Validation\u003c\/li\u003e\n\u003cli\u003eEvaluating the strength of a Decision Tree Classifier\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Alternative Approaches to Classification and Model Evaluation\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExamining alternative approaches to classification\u003c\/li\u003e\n\u003cli\u003eConsidering how Activation Functions are integral to Logistic Regression Classifiers\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003eDelve into the architecture of Neural Networks and investigate the explosive growth of Deep Learning approaches in AI\u003c\/span\u003e\u003cspan data-ccp-props=\"{}\"\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eExploring the probability foundations of Naive Bayes classifiers\u003c\/li\u003e\n\u003cli\u003eReviewing different approaches to measuring the performance of AI\/ML Classification Models\u003c\/li\u003e\n\u003cli\u003eReviewing ROC curves, AUC measures, Precision, Recall, and Confusion Matrices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Clustering Techniques for Customer and Product Segmentation\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUncovering new ways of segmenting your customers, products, or services using clustering algorithms\u003c\/li\u003e\n\u003cli\u003eExploring what the concept of similarity means to humans and how you can implement it programmatically through distance measures on descriptive variables\u003c\/li\u003e\n\u003cli\u003ePerforming top-down clustering with Python’s Scikit-Learn K-Means algorithm\u003c\/li\u003e\n\u003cli\u003ePerforming bottom-up clustering with Scikit-Learn’s hierarchical clustering algorithm\u003c\/li\u003e\n\u003cli\u003eExamining clustering techniques on unstructured data (e.g., Tweets, Emails, Documents, etc.)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Association Rules and Recommender Systems for Business Applications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eBuilding models of customer behaviors or business events from logged data using Association Rules\u003c\/li\u003e\n\u003cli\u003eEvaluating the strength of these models through probability measures of support, confidence, and lift\u003c\/li\u003e\n\u003cli\u003eEmploying feature engineering approaches to improve the models\u003c\/li\u003e\n\u003cli\u003eBuilding a recommender for your customers that is unique to your product\/service offering\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: Network Analysis for Organizational Insights\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAnalyzing your organization, its people, and its environment as a network of inter-relationships\u003c\/li\u003e\n\u003cli\u003eVisualizing these relationships to uncover previously unseen business insights\u003c\/li\u003e\n\u003cli\u003eExploring ego-centric and socio-centric methods of analyzing connections critical to your organization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 10: Big Data Analytics, Communication, and Ethics\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExamining Cloud (Microsoft, Amazon, Google) approaches to handling Big Data analytics\u003c\/li\u003e\n\u003cli\u003eExploring the communications and ethics aspects of being a Data Scientist\u003c\/li\u003e\n\u003cli\u003eDiscuss the ethical implications of recent developments in AI\u003c\/li\u003e\n\u003cli\u003eSurveying the paths of continual learning for a Data Scientist\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A76US \/ 2026-07-13T09:00:00 \/ Bellevue, WA","offer_id":47534164705499,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"267A77US \/ 2026-07-27T09:00:00 \/ New York","offer_id":47534164738267,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"268A50US \/ 2026-08-24T09:00:00 \/ Austin","offer_id":47534164803803,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"269A63US \/ 2026-09-14T09:00:00 \/ Herndon, VA","offer_id":47591597474011,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"266D20US \/ 2026-06-22T09:00:00 \/ Online","offer_id":48216533369051,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"267A68CN \/ 2026-07-20T09:00:00 \/ Toronto","offer_id":48216533401819,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"267D04US \/ 2026-07-06T09:00:00 \/ Washington, DC","offer_id":48216533434587,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"268A68CN \/ 2026-08-17T09:00:00 \/ Ottawa","offer_id":48216533467355,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"269C26US \/ 2026-09-21T09:00:00 \/ Washington, DC","offer_id":48216533500123,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26AA03CN \/ 2026-10-05T09:00:00 \/ Toronto","offer_id":48216533532891,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26AA81US \/ 2026-10-19T09:00:00 \/ New York","offer_id":48216533565659,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26AA82US \/ 2026-10-26T09:00:00 \/ Aurora, CO","offer_id":48216533598427,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26BA09CN \/ 2026-11-02T09:00:00 \/ Ottawa","offer_id":48216533631195,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26BA68US \/ 2026-11-16T09:00:00 \/ Austin","offer_id":48216533663963,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26CA57US \/ 2026-12-07T09:00:00 \/ Herndon, VA","offer_id":48216533696731,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26CA58US \/ 2026-12-14T09:00:00 \/ Washington, DC","offer_id":48216533729499,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"271A08CN \/ 2027-01-04T09:00:00 \/ Toronto","offer_id":48216533762267,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"271A80US \/ 2027-01-11T09:00:00 \/ New York","offer_id":48216533795035,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"271A81US \/ 2027-01-25T09:00:00 \/ San Francisco","offer_id":48216533827803,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"272A05CN \/ 2027-02-01T09:00:00 \/ Ottawa","offer_id":48216533860571,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"272A47US \/ 2027-02-08T09:00:00 \/ Austin","offer_id":48230038307035,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"273A64US \/ 2027-03-01T09:00:00 \/ Herndon, VA","offer_id":48309393653979,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"273A65US \/ 2027-03-08T09:00:00 \/ Washington, DC","offer_id":48329825747163,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"274A52US \/ 2027-04-05T09:00:00 \/ New York","offer_id":48556119785691,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"274A06CN \/ 2027-04-12T09:00:00 \/ Toronto","offer_id":48586417078491,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"274A53US \/ 2027-04-26T09:00:00 \/ Aurora, CO","offer_id":48669320904923,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"275A59US \/ 2027-05-03T09:00:00 \/ Austin","offer_id":48736202621147,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"275A06CN \/ 2027-05-10T09:00:00 \/ Ottawa","offer_id":48758129983707,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"275A60US \/ 2027-05-17T09:00:00 \/ Herndon, VA","offer_id":48778586915035,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"268D37US \/ 2026-08-31T09:00:00 \/ Online","offer_id":48837148279003,"sku":"US-1264-IL","price":2680.0,"currency_code":"USD","in_stock":true}]},{"product_id":"build-a-natural-language-processing-solution-with-azure-ai-services-ai-3003","title":"Build a Natural Language Processing Solution with Azure AI Services (AI-3003)","description":"\u003cdiv\u003e\u003cp\u003eBuild a Natural Language Processing Solution with Azure AI Services (AI-3003) is a dynamic one-day course tailored for software developers keen on integrating AI capabilities into their applications utilizing Azure AI Services and Azure AI Language. Throughout the course, participants will utilize either C# or Python programming languages to harness the power of Azure AI Language.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBuild a Natural Language Processing Solution with Azure AI Services (AI-3003) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will learn how to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesigning solutions for processing natural language with Azure AI Language. \u003c\/li\u003e\n\u003cli\u003eCreating solutions for analyzing text using preconfigured features. \u003c\/li\u003e\n\u003cli\u003eTraining models for custom language solutions, specifically for question answering and conversational language understanding. \u003c\/li\u003e\n\u003cli\u003eUnderstanding, synthesizing, and translating speech. \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eBefore enrolling in this course, students are expected to have: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKnowledge of Microsoft Azure and the ability to navigate the Azure portal effectively. \u003c\/li\u003e\n\u003cli\u003eProficiency in either C# or Python programming languages. \u003c\/li\u003e\n\u003cli\u003eFamiliarity with JSON and REST programming semantics. \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAzure AI Services Natural Language Training Course AI-3003 Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Analyze text with Azure AI Language \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eProvision an Azure AI Language resource \u003c\/li\u003e\n\u003cli\u003eDetect language \u003c\/li\u003e\n\u003cli\u003eExtract key phrases \u003c\/li\u003e\n\u003cli\u003eAnalyze sentiment \u003c\/li\u003e\n\u003cli\u003eExtract entities \u003c\/li\u003e\n\u003cli\u003eExtract linked entities \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Analyze text \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Build a question answering solution \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eUnderstand question answering \u003c\/li\u003e\n\u003cli\u003eCompare question answering to Azure AI Language understanding \u003c\/li\u003e\n\u003cli\u003eCreate a knowledge base \u003c\/li\u003e\n\u003cli\u003eImplement multi-turn conversation \u003c\/li\u003e\n\u003cli\u003eTest and publish a knowledge base \u003c\/li\u003e\n\u003cli\u003eUse a knowledge base \u003c\/li\u003e\n\u003cli\u003eImprove question answering performance \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Create a question answering solution \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Build a conversational language understanding model \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eUnderstand prebuilt capabilities of Azure AI Language service \u003c\/li\u003e\n\u003cli\u003eUnderstand resources for building a conversational language understanding model \u003c\/li\u003e\n\u003cli\u003eDefine intents, utterances, and entities \u003c\/li\u003e\n\u003cli\u003eUse patterns to differentiate similar utterances \u003c\/li\u003e\n\u003cli\u003eUse pre-built entity components \u003c\/li\u003e\n\u003cli\u003eTrain, test, publish, and review a conversational language understanding model \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Build a conversational language understanding model \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Create a custom text classification solution \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eUnderstand types of classification projects \u003c\/li\u003e\n\u003cli\u003eUnderstand how to build text classification projects \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Classify text \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Create a custom named entity extraction solution \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eUnderstand custom named entity recognition \u003c\/li\u003e\n\u003cli\u003eLabel your data \u003c\/li\u003e\n\u003cli\u003eTrain and evaluate your model \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Extract custom entities \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Translate text with Azure AI Translator service \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eProvision an Azure AI Translator resource \u003c\/li\u003e\n\u003cli\u003eUnderstand language detection, translation, and transliteration \u003c\/li\u003e\n\u003cli\u003eSpecify translation options \u003c\/li\u003e\n\u003cli\u003eDefine custom translations \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Translate text with Azure AI Translator service \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Create speech-enabled apps with Azure AI services \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eProvision an Azure resource for speech \u003c\/li\u003e\n\u003cli\u003eUse Azure AI Speech to Text API \u003c\/li\u003e\n\u003cli\u003eUse the text to speech API \u003c\/li\u003e\n\u003cli\u003eConfigure audio format and voices \u003c\/li\u003e\n\u003cli\u003eUse Speech Synthesis Markup Language \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Create a speech-enabled app \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Translate speech with Azure AI Speech service \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eProvision an Azure resource for speech translation \u003c\/li\u003e\n\u003cli\u003eTranslate speech to text \u003c\/li\u003e\n\u003cli\u003eSynthesize translations \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Translate speech \u003c\/p\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A74US \/ 2026-07-20T09:00:00 \/ Online","offer_id":47534209859803,"sku":"US-8694-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271B88US \/ 2027-01-21T09:00:00 \/ Online","offer_id":48216571347163,"sku":"US-8694-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"dynamics-365-business-central-developer-mb-820","title":"Dynamics 365 Business Central Developer (MB-820)","description":"\u003cdiv\u003e\u003cp\u003eBecome a proficient Dynamics 365 Business Central developer through our comprehensive course. Learn to extend Business Central by creating new modules, modifying existing ones, and integrating with other applications, including Microsoft Power Platform products. Develop expertise in troubleshooting, debugging, and optimizing system performance. Gain hands-on experience in upgrading, migrating data, and maintaining system security to ensure Business Central remains up-to-date and efficient.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eDynamics 365 Business Central Developer (MB-820) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will learn how to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGain comprehensive knowledge of Business Central architecture and functional areas. \u003c\/li\u003e\n\u003cli\u003eAcquire skills to manage administration for both on-premises and online deployments. \u003c\/li\u003e\n\u003cli\u003eDevelop proficiency in telemetry management, application security, and setting up development environments. \u003c\/li\u003e\n\u003cli\u003eLearn to customize the user interface, implement onboarding techniques, and adhere to development standards. \u003c\/li\u003e\n\u003cli\u003eMaster extension development, including debugging, deployment, and building various components like tables, pages, reports, and control add-ins.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA Dynamics 365 Business Central developer must have applied knowledge of Business Central and an understanding of industry terminology. The developer also must have applied knowledge of administration, the development environment, and tools for developing extensions and customizations in Business Central.  \u003c\/li\u003e\n\u003cli\u003eThe developer's knowledge should include a comprehensive understanding of the Business Central application's role in relationship to the Microsoft 365 and Dynamics 365 suites of applications.  \u003c\/li\u003e\n\u003cli\u003eA developer should have knowledge of AppSource and technologies for Application Lifecycle Management (ALM), Source Control Management (SCM), Azure, and Business Central-related technologies, frameworks, and services to build solutions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCertification Information\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis course will help you prepare for Microsoft \u003ca target=\"_blank\" href=\"https:\/\/learn.microsoft.com\/en-us\/credentials\/certifications\/exams\/mb-820\/\" rel=\"nofollow noopener\" title=\"Exam MB-820 | Microsoft Learn\"\u003eExam MB-820: Microsoft Dynamics 365 Business Central Developer\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDynamics 365 Business Central Developer (MB-820) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eIntroduction to Business Central \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstanding the Business Central System \u003c\/li\u003e\n\u003cli\u003eExploring Business Central Functional Areas \u003c\/li\u003e\n\u003cli\u003eUnderstanding Business Central Architecture \u003c\/li\u003e\n\u003cli\u003eExploring Business Central Apps \u003c\/li\u003e\n\u003cli\u003eOverview of the Upgrade Process \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eAdministration of Business Central \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eManaging Dynamics 365 Business Central Administration for On-Premises and Online \u003c\/li\u003e\n\u003cli\u003eManaging Application Security in Business Central \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eInstallation, Development, and Deployment \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eInstalling and Configuring a Business Central Development Environment \u003c\/li\u003e\n\u003cli\u003eCreating, Debugging, and Deploying an Extension in Business Central \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eDevelopment Using Application Language (AL) \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eBuilding and Extending Tables and Pages in Business Central \u003c\/li\u003e\n\u003cli\u003eBuilding and Extending Reports \u003c\/li\u003e\n\u003cli\u003eDeveloping Codeunits \u003c\/li\u003e\n\u003cli\u003eDesigning and Creating an XMLport \u003c\/li\u003e\n\u003cli\u003eWorking with Entitlement and Permission Set Objects \u003c\/li\u003e\n\u003cli\u003eCreating Queries in Business Central \u003c\/li\u003e\n\u003cli\u003eBuilding Control Add-in Objects  \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eAdvanced AL Development \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eCustomizing the UI Experience and Implementing Onboarding Techniques \u003c\/li\u003e\n\u003cli\u003eDescribing Essential Development Standards \u003c\/li\u003e\n\u003cli\u003eUsing Application Language (AL) to Extend Business Central \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eWorking with Development Tools \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUtilizing the Business Central Performance Toolkit \u003c\/li\u003e\n\u003cli\u003eSetting up Source Control using Git \u003c\/li\u003e\n\u003cli\u003eEstablishing Application Lifecycle Management \u003c\/li\u003e\n\u003cli\u003eImplementing Semi-Automated Test Processes and Running Standard Business Central Tests \u003c\/li\u003e\n\u003cli\u003eManaging and Analyzing Telemetry  \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eIntegration with Other Applications \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntegrating with Microsoft Power Platform based on APIs \u003c\/li\u003e\n\u003cli\u003eAccessing REST Services from within Business Central \u003c\/li\u003e\n\u003cli\u003eIntegrating with Microsoft Azure \u003c\/li\u003e\n\u003cli\u003eImplementing APIs \u003c\/li\u003e\n\u003cli\u003eDescribing Microsoft Teams Integration \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"268A49US \/ 2026-08-17T09:00:00 \/ Herndon, VA","offer_id":47534209728731,"sku":"US-8690-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26BB99US \/ 2026-11-02T09:00:00 \/ Herndon, VA","offer_id":48216549589211,"sku":"US-8690-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"275B78US \/ 2027-05-10T09:00:00 \/ Herndon, VA","offer_id":48758112551131,"sku":"US-8690-IL","price":2680.0,"currency_code":"USD","in_stock":true}]},{"product_id":"empower-your-workforce-with-copilot-for-microsoft-365-use-cases-ms-4004","title":"Empower Your Workforce with Microsoft 365 Copilot Use Cases (MS-4004)","description":"\u003cdiv\u003e\u003cp\u003eThis hands-on course helps business users apply Microsoft 365 Copilot to real, day-to-day work scenarios. Through guided exercises, participants explore ten role-based use cases and learn how to use Copilot across Microsoft 365 apps—such as Word, Excel, PowerPoint, Outlook, Teams, and Loop—to improve productivity, decision-making, and communication.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eEmpower Your Workforce with Microsoft 365 Copilot Use Cases (MS-4004) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eBy the end of this course, participants will be able to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eApply Microsoft 365 Copilot to perform tasks and solve problems across various business roles, including sales, finance, IT, and HR.\u003c\/li\u003e\n\u003cli\u003eUse Copilot within Microsoft 365 applications like Word, Excel, PowerPoint, Outlook, and Teams to enhance productivity and streamline workflows.\u003c\/li\u003e\n\u003cli\u003eAnalyze data, generate reports, create presentations, and develop strategic plans with the assistance of Copilot.\u003c\/li\u003e\n\u003cli\u003eBuild and refine custom Copilot agents to address specific business needs, such as creating self-service tools and automating information retrieval.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTarget Audience\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBusiness users\u003c\/li\u003e\n\u003cli\u003eBusiness analysts\u003c\/li\u003e\n\u003cli\u003eFunctional consultants\u003c\/li\u003e\n\u003cli\u003eStudents and professionals adopting Microsoft 365 Copilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic experience with Microsoft 365 apps\u003c\/li\u003e\n\u003cli\u003eBasic understanding of how Microsoft 365 Copilot works\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eEmpower Your Workforce with Microsoft 365 Copilot Use Cases (MS-4004) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e1. Executives Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eSynthesize insights from Teams conversations\u003c\/li\u003e\n\u003cli\u003eCreate executive summaries and briefings\u003c\/li\u003e\n\u003cli\u003eAnalyze budgets and forecasts in Excel\u003c\/li\u003e\n\u003cli\u003eBuild and use Copilot agents for executive insights\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e2. Sales Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eConduct market and competitor research\u003c\/li\u003e\n\u003cli\u003eGenerate sales proposals and RFP responses\u003c\/li\u003e\n\u003cli\u003ePersonalize outreach with Outlook and Word\u003c\/li\u003e\n\u003cli\u003eBuild and refine RFP response agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e3. IT Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003ePlan IT projects using Copilot Chat and Whiteboard\u003c\/li\u003e\n\u003cli\u003eIdentify risks and create executive presentations\u003c\/li\u003e\n\u003cli\u003eCommunicate upcoming Microsoft 365 features\u003c\/li\u003e\n\u003cli\u003eCollect and analyze feedback with Copilot agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e4. Marketing Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCreate market research and analysis agents\u003c\/li\u003e\n\u003cli\u003eGenerate campaign strategies and creative ideas\u003c\/li\u003e\n\u003cli\u003eAnalyze marketing data in Excel\u003c\/li\u003e\n\u003cli\u003eDraft promotional content with writing agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e5. Finance Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAnalyze costs, budgets, and What-If scenarios\u003c\/li\u003e\n\u003cli\u003eSummarize meetings and acquisition insights\u003c\/li\u003e\n\u003cli\u003eReview vendor contracts\u003c\/li\u003e\n\u003cli\u003eCreate executive-ready financial presentations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e6. HR Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAnalyze manager and workforce metrics\u003c\/li\u003e\n\u003cli\u003eGenerate HR summary reports\u003c\/li\u003e\n\u003cli\u003eCommunicate insights to leadership\u003c\/li\u003e\n\u003cli\u003eBuild HR self-service agents for employees\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e7. Operations Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eBrainstorm and plan operational initiatives\u003c\/li\u003e\n\u003cli\u003eTrack facility expansion projects\u003c\/li\u003e\n\u003cli\u003eCreate operational FAQ and support agents\u003c\/li\u003e\n\u003cli\u003eCommunicate safety and process updates\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e8. Communications Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDevelop strategic communication plans\u003c\/li\u003e\n\u003cli\u003eAnalyze engagement and communication metrics\u003c\/li\u003e\n\u003cli\u003ePrepare executive and employee messaging\u003c\/li\u003e\n\u003cli\u003eCreate internal FAQ and support agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e9. Customer Service Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eMap customer support journeys\u003c\/li\u003e\n\u003cli\u003ePrepare for customer interactions\u003c\/li\u003e\n\u003cli\u003eAnalyze support data and trends\u003c\/li\u003e\n\u003cli\u003eCreate troubleshooting guides and response templates\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e10. Legal Use Case\u003c\/h4\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003ePrepare regulatory and audit responses\u003c\/li\u003e\n\u003cli\u003eSummarize contracts and legal documents\u003c\/li\u003e\n\u003cli\u003eVisualize compliance and risk data\u003c\/li\u003e\n\u003cli\u003eCreate legal and regulatory support agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"268A48US \/ 2026-08-04T09:00:00 \/ Online","offer_id":47534209663195,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"267A70CN \/ 2026-07-02T09:00:00 \/ Online","offer_id":48216571052251,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269C58US \/ 2026-09-21T09:00:00 \/ Online","offer_id":48216571085019,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AB55US \/ 2026-10-23T09:00:00 \/ Online","offer_id":48216571150555,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA15CN \/ 2026-11-09T09:00:00 \/ Online","offer_id":48216571183323,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271B86US \/ 2027-01-07T09:00:00 \/ Online","offer_id":48216571248859,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272B29US \/ 2027-02-16T09:00:00 \/ Online","offer_id":48266087923931,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273B53US \/ 2027-03-16T09:00:00 \/ Online","offer_id":48377303171291,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A11CN \/ 2027-04-12T09:00:00 \/ Online","offer_id":48586425336027,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"276B64US \/ 2027-06-01T09:00:00 \/ Online","offer_id":48823752949979,"sku":"US-8689-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"migrate-sql-server-workload-to-azure-sql-dp-3001","title":"Migrate SQL Server workload to Azure SQL (DP-3001)","description":"\u003cdiv\u003e\u003cp\u003ePrepare for the seamless migration of SQL Server workloads to Azure SQL Database with this focused learning path. Explore assessment methodologies and compatibility checks using tools like the Azure SQL Migration Extension and Database Migration Assistant. Gain practical experience in provisioning and configuring Azure SQL Database resources while mastering migration strategies tailored to minimize downtime and optimize performance. Additionally, delve into essential post-migration tasks such as disaster recovery planning and database monitoring, ensuring a smooth transition and sustained operational excellence in the Azure environment.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eMigrate SQL Server workload to Azure SQL (DP-3001) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eUpon successful completion of this course, students will gain proficiency in the following areas:  \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAssessing SQL Server databases for migration. \u003c\/li\u003e\n\u003cli\u003eDeploying Azure SQL solutions. \u003c\/li\u003e\n\u003cli\u003eMigrating SQL Server workloads to Azure SQL. \u003c\/li\u003e\n\u003cli\u003ePerforming post-migration tasks on Azure SQL. \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003ePrior experience in administering SQL Server databases is required. Additionally, familiarity with Microsoft Azure services is recommended to ensure optimal understanding and engagement with the course material.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMigrate SQL Server workload to Azure SQL (DP-3001) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Design a SQL Server Migration Strategy \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eExamine data platform modernization \u003c\/li\u003e\n\u003cli\u003ePlan a data migration \u003c\/li\u003e\n\u003cli\u003eExplore available data migration technologies \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Compare on-premises Azure costs\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Assess SQL Server Databases for Migration to Azure SQL \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eReview database for compatibility \u003c\/li\u003e\n\u003cli\u003eExplore assessment options for database migration \u003c\/li\u003e\n\u003cli\u003eAssess a database with Azure Migration extension \u003c\/li\u003e\n\u003cli\u003eAssess a database with Azure Migrate \u003c\/li\u003e\n\u003cli\u003eAssess a database with Data Migration Assistant \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Identify compatibility issues \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Deploy PaaS Solutions with Azure SQL \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eExplain PaaS options for deploying SQL Server in Azure \u003c\/li\u003e\n\u003cli\u003eExplore single SQL database \u003c\/li\u003e\n\u003cli\u003eDeploy SQL database elastic pool \u003c\/li\u003e\n\u003cli\u003eUnderstand SQL database hyperscale \u003c\/li\u003e\n\u003cli\u003eExamine SQL managed instance \u003c\/li\u003e\n\u003cli\u003eDescribe SQL Edge \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Deploy an Azure SQL Database \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Configure Database Authentication and Authorization \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eDescribe Active Directory and Microsoft Entra ID \u003c\/li\u003e\n\u003cli\u003eDescribe authentication and identities \u003c\/li\u003e\n\u003cli\u003eDescribe security principals \u003c\/li\u003e\n\u003cli\u003eDescribe database and object permissions \u003c\/li\u003e\n\u003cli\u003eIdentify authentication and authorization failures \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Authorize Access to Azure SQL Database with Microsoft Entra ID \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Migrate SQL Server Workloads to Azure SQL Database \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eChoose the right Azure SQL Database feature \u003c\/li\u003e\n\u003cli\u003eUse Azure SQL Migration extension to migrate to Azure SQL Database \u003c\/li\u003e\n\u003cli\u003eExplore Data Migration Assistant to migrate to Azure SQL Database \u003c\/li\u003e\n\u003cli\u003eMigrate to Azure SQL Database using BACPAC \u003c\/li\u003e\n\u003cli\u003eUse an online method to migrate to Azure SQL Database \u003c\/li\u003e\n\u003cli\u003eMove data to Azure SQL Database \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Migrate a SQL Server database to Azure SQL Database \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Perform Post-Migration Tasks on Azure SQL \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction \u003c\/li\u003e\n\u003cli\u003eMigrate SQL logins and groups \u003c\/li\u003e\n\u003cli\u003eImplement security to protect Azure SQL \u003c\/li\u003e\n\u003cli\u003eImplement compliance controls for sensitive data \u003c\/li\u003e\n\u003cli\u003eMonitor database performance \u003c\/li\u003e\n\u003cli\u003eConfigure high availability and disaster recovery \u003c\/li\u003e\n\u003cli\u003eAutomate database tasks for scalability \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExercise: Configure geo-replication for Azure SQL Database \u003c\/p\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A88US \/ 2026-07-07T09:00:00 \/ Online","offer_id":47534210547931,"sku":"US-8696-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA07US \/ 2026-10-01T09:00:00 \/ Online","offer_id":47638416851163,"sku":"US-8696-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271B90US \/ 2027-01-12T09:00:00 \/ Online","offer_id":48216573083867,"sku":"US-8696-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"machine-learning-with-azure-databricks-dp-3014","title":"Build machine learning solutions using Azure Databricks (DP-3014)","description":"\u003cdiv\u003e\u003cp\u003eAzure Databricks is a powerful, cloud-scale platform for data analytics and machine learning. This hands-on class guides you through every step of building, training, optimizing, and deploying machine learning solutions with Azure Databricks. Designed for data scientists and ML engineers, the course covers Apache Spark, MLflow, AutoML, hyperparameter tuning, and deep learning, all within a scalable, collaborative environment. By the end, you’ll have the skills to implement real-world machine learning projects from experimentation to production.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBuild machine learning solutions using Azure Databricks (DP-3014) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will learn how to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how to harness the full potential of Databricks for big data analytics and ML.\u003c\/li\u003e\n\u003cli\u003eApply concepts through guided exercises using Spark, MLflow, AutoML, and PyTorch.\u003c\/li\u003e\n\u003cli\u003eGain practical experience managing experiments, tuning hyperparameters, and deploying models at scale.\u003c\/li\u003e\n\u003cli\u003eBuild expertise in modern machine learning techniques, including deep learning and production-ready workflows.\u003c\/li\u003e\n\u003cli\u003eLearn how Unity Catalog and Microsoft Purview support secure, governed, and team-based ML development.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eTo fully benefit from this course, please ensure you possess proficiency in Python for data exploration and machine learning model training using popular open-source frameworks such as Scikit-Learn, PyTorch, and TensorFlow.  \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMachine learning with Azure Databricks Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Explore Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGet started with Azure Databricks\u003c\/li\u003e\n\u003cli\u003eIdentify workloads and key concepts\u003c\/li\u003e\n\u003cli\u003eUnderstand governance with Unity Catalog \u0026amp; Microsoft Purview\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Explore Azure Databricks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Use Apache Spark in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to Spark and clusters\u003c\/li\u003e\n\u003cli\u003eWork with data files in notebooks\u003c\/li\u003e\n\u003cli\u003eVisualize data with Spark\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Use Spark in Databricks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Train a Machine Learning Model\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eReview ML principles\u003c\/li\u003e\n\u003cli\u003ePrepare data for training\u003c\/li\u003e\n\u003cli\u003eTrain and evaluate models in Databricks\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Train a machine learning model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Use MLflow in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eManage experiments with MLflow\u003c\/li\u003e\n\u003cli\u003eRegister and serve models\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Track and deploy with MLflow\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Tune Hyperparameters\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eOptimize models with Optuna\u003c\/li\u003e\n\u003cli\u003eScale hyperparameter trials\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Hyperparameter tuning in Databricks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Use AutoML in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand AutoML concepts\u003c\/li\u003e\n\u003cli\u003eRun AutoML experiments via UI and code\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Build models with AutoML\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Train Deep Learning Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to deep learning concepts\u003c\/li\u003e\n\u003cli\u003eTrain models with PyTorch\u003c\/li\u003e\n\u003cli\u003eScale with TorchDistributor\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Train deep learning models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 8: Manage ML in Production\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAutomate data transformations\u003c\/li\u003e\n\u003cli\u003eExplore model development and deployment strategies\u003c\/li\u003e\n\u003cli\u003eManage versioning and lifecycle\u003c\/li\u003e\n\u003cli\u003eHands-on exercise: Deploy and manage ML models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A70US \/ 2026-07-23T09:00:00 \/ Online","offer_id":47534209204443,"sku":"US-8686-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AB54US \/ 2026-10-22T09:00:00 \/ Online","offer_id":48216548049115,"sku":"US-8686-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271B84US \/ 2027-01-19T09:00:00 \/ Online","offer_id":48216548081883,"sku":"US-8686-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274B48US \/ 2027-04-21T09:00:00 \/ Online","offer_id":48619711299803,"sku":"US-8686-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"preparing-for-an-ai-transformation-initiative","title":"Preparing for an AI Transformation Initiative","description":"\u003cdiv\u003e\u003cp\u003eWhat is AI transformation, and why does it matter for your organization? This course equips enterprise leaders and transformation teams with strategic, actionable insights to prepare for a successful AI transformation initiative. From understanding key concepts to practical implementation considerations, this course enables executives, operations managers, L\u0026amp;D directors, and digital transformation leads to develop a robust roadmap that supports AI integration across the organization.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003ePreparing for an AI Transformation Initiative Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUpon completion, participants will be able to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine AI transformation and its strategic importance.\u003c\/li\u003e\n\u003cli\u003eIdentify best practices in AI change management.\u003c\/li\u003e\n\u003cli\u003eAlign AI initiatives with business strategy and compliance requirements.\u003c\/li\u003e\n\u003cli\u003eEvaluate and mitigate risks associated with enterprise AI adoption.\u003c\/li\u003e\n\u003cli\u003ePlan organizational readiness for AI integration.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Transformation Initiative Prep Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eTraining Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eAI Transformation Overview\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFundamental concepts of AI\u003c\/li\u003e\n\u003cli\u003eRationale for AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVision for AI Technology\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKey AI technologies \u003c\/li\u003e\n\u003cli\u003eTactics for leveraging AI technologies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVision for the Customer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA planned approach to improving the customer experience\u003c\/li\u003e\n\u003cli\u003eGetting ideas from a customer journey map\u003c\/li\u003e\n\u003cli\u003eSimulating scenarios and solutions using digital twins\u003c\/li\u003e\n\u003cli\u003eLeveraging data science\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVision for Organizations and Individuals\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAttributes of an AI mindset\u003c\/li\u003e\n\u003cli\u003eLeadership mindset changes\u003c\/li\u003e\n\u003cli\u003eIndividual mindset changes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOngoing Transformation\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAspects of ongoing AI transformation\u003c\/li\u003e\n\u003cli\u003eAI disruptors\u003c\/li\u003e\n\u003cli\u003eAgentic workflows\u003c\/li\u003e\n\u003cli\u003ePotential pitfalls that could undermine AI transformation\u003c\/li\u003e\n\u003cli\u003eContinual improvement\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A28US \/ 2026-06-30T09:00:00 \/ Online","offer_id":47260364800219,"sku":"US-4701-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268A12US \/ 2026-08-24T09:00:00 \/ Online","offer_id":47487460507867,"sku":"US-4701-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA13US \/ 2026-11-10T09:00:00 \/ Online","offer_id":48050287378651,"sku":"US-4701-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A20US \/ 2027-01-26T09:00:00 \/ Online","offer_id":48188166570203,"sku":"US-4701-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A07US \/ 2027-03-10T09:00:00 \/ Online","offer_id":48334733672667,"sku":"US-4701-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A14US \/ 2027-05-20T09:00:00 \/ Online","offer_id":48788307869915,"sku":"US-4701-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"data-management-tools-machine-learning-and-ai-training","title":"Data Management Tools, Machine Learning and AI Training","description":"\u003cdiv\u003e\n\u003cp\u003eIn this \u003cstrong\u003edata management tools, machine learning and AI training\u003c\/strong\u003e, you will gain the foundational knowledge to manage your organization’s data assets and gain value from that data – through data analytics and machine learning to modern AI techniques and learn how modern data management can supply efficient solutions to technical, business, and administrative challenges.\u003c\/p\u003e\r\n\u003cp\u003eThis data management tools, machine learning and AI course includes 6 hours of ILT (Instructor-Led Training) or VILT (Virtual Instructor-Led Training) presented by a real-world expert instructor.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eData Management Tools, Machine Learning and AI Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this machine learning training, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDeliver business value using ML, AI, and Data Analytics\u003c\/li\u003e\n\u003cli\u003eManage corporate data assets using Data Warehouses and Data Integration\u003c\/li\u003e\n\u003cli\u003eExplore ML and AI evolution and trends such as ChatGPT\u003c\/li\u003e\n\u003cli\u003eDefine business strategies for Data Management, ML, and AI\u003c\/li\u003e\n\u003cli\u003eLeverage continued support with after-course one-on-one instructor coaching and computing sandbox\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBefore taking this course, attendees should have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWorking knowledge of Internet and data technologies\u003c\/li\u003e\n\u003cli\u003eA background in programming and data analysis is not needed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Management Tools, Machine Learning and AI Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Introduction to Data Management, ML, and AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eEvolution of Data Management and Databases\u003c\/li\u003e\n\u003cli\u003eWhat are Data Analytics, Machine Learning, and AI; and how do they relate to each other?\u003c\/li\u003e\n\u003cli\u003eIndustry standards and processes for Data Management – CRISP\u003c\/li\u003e\n\u003cli\u003eBig Data – Volume, Velocity, and Variety\u003c\/li\u003e\n\u003cli\u003eAnalyzing organizational data  - what value does it have and how to exploit that\u003cb\u003e\u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Data Management Tools and Platforms\u003c\/h4\u003e\n\u003cp\u003eData Management Platforms\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHadoop and Spark\u003c\/li\u003e\n\u003cli\u003eEvolution of Data Management\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eData Lakes and Data Warehouses\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntegration of Data Management with Traditional Databases\u003c\/li\u003e\n\u003cli\u003eNoSQL\u003c\/li\u003e\n\u003cli\u003eData Catalogs and Metadata\u003c\/li\u003e\n\u003cli\u003eData Pipelines and Data Warehouses\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eCloud Tools for Data Management\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Warehouses\u003c\/li\u003e\n\u003cli\u003eData Analytics\u003c\/li\u003e\n\u003cli\u003eServerless Computing\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Data Analytics – Understanding Your Data\u003c\/h4\u003e\n\u003cp\u003eTypes of Data\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCategorial Data\u003c\/li\u003e\n\u003cli\u003eQuantitative Data\u003c\/li\u003e\n\u003cli\u003eDeriving Features from Data\u003c\/li\u003e\n\u003cli\u003eChoosing the right Cloud data platforms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eExploratory Data Analysis\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to Statistics\u003c\/li\u003e\n\u003cli\u003eData Exploration\u003c\/li\u003e\n\u003cli\u003eIntroduction to Probability and Applying it in Practice\u003c\/li\u003e\n\u003cli\u003eData Distributions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eVisualization\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEffective visualization – explaining your data\u003c\/li\u003e\n\u003cli\u003eVisualization tools and techniques\u003c\/li\u003e\n\u003cli\u003eCreating engaging presentations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Machine Learning and AI\u003c\/h4\u003e\n\u003cp\u003eFundamentals of Machine Learning\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDecision Trees\u003c\/li\u003e\n\u003cli\u003eClassification\u003c\/li\u003e\n\u003cli\u003eClustering\u003c\/li\u003e\n\u003cli\u003eRegression\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eDeep Learning, Neural Networks, and Generative AI\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNeural Networks\u003c\/li\u003e\n\u003cli\u003eGenerative AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Applying Data Management and ML\/AI in your workplace\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eCreating a strategy\u003c\/li\u003e\n\u003cli\u003eData Management Best Practices\u003c\/li\u003e\n\u003cli\u003eNext steps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"269A18US \/ 2026-09-09T09:00:00 \/ Online","offer_id":47572780875995,"sku":"US-4500-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"267C89US \/ 2026-07-22T09:00:00 \/ Online","offer_id":48039761084635,"sku":"US-4500-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA07US \/ 2026-11-05T09:00:00 \/ Online","offer_id":48039761117403,"sku":"US-4500-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A14US \/ 2027-01-21T09:00:00 \/ Online","offer_id":48167028555995,"sku":"US-4500-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A09US \/ 2027-03-17T09:00:00 \/ Online","offer_id":48377303138523,"sku":"US-4500-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A05US \/ 2027-05-10T09:00:00 \/ Online","offer_id":48758138765531,"sku":"US-4500-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"introduction-to-data-analytics","title":"Introduction to Data Analytics","description":"\u003cdiv\u003e\u003cp\u003eAs data evolves for organizations, employees must understand the value of the data they hold. This \u003cstrong\u003eData Analytics Introduction\u003c\/strong\u003e provides a clear understanding of data analytics's purpose, tools, and techniques. In addition, it will help attendees to plan the data and digital strategy for their organizations.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to Data Analytics Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBack at work, attendees will be able to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine what Data Analytics is and how it helps with business-focused decision-making\u003c\/li\u003e\n\u003cli\u003eUnderstand the fundamentals of pattern recognition\u003c\/li\u003e\n\u003cli\u003eDifferentiate between data roles such as Data Analyst, Data Scientist, Data Engineer, Business Analyst, and Business Intelligence Analyst.\u003c\/li\u003e\n\u003cli\u003eRecognize the value, terminology, and challenges of Business Intelligence\u003c\/li\u003e\n\u003cli\u003eUnderstand how Data Mining builds knowledge, insights, patterns, \u0026amp; data advantages\u003c\/li\u003e\n\u003cli\u003eAppreciate the usefulness of data visualization, visual patterns, and Infographics for stakeholder communication\u003c\/li\u003e\n\u003cli\u003eImprove awareness of the value of the data your organization holds and how to manipulate it\u003c\/li\u003e\n\u003cli\u003eHave excellent fundamental knowledge of data, how it is captured, and how it is visualized for us in the business\u003c\/li\u003e\n\u003cli\u003ePosition Data Warehouses as data management facilities that help to:\n\u003cul\u003e\n\u003cli\u003eCreate reports and analysis\u003c\/li\u003e\n\u003cli\u003eSupport managerial decision making\u003c\/li\u003e\n\u003cli\u003eEngineered for efficient reporting and querying\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cul\u003e\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eA basic understanding of what data is and the function of data analysis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCertification Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLearning Tree Exam included\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Analytics Introduction Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChapter 1: Data Analytics Introduction\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eBusiness Intelligence \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExample: MoneyBall: Data Mining in Sports\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePattern Recognition \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTypes of Patterns\u003c\/li\u003e\n\u003cli\u003eFinding a Pattern\u003c\/li\u003e\n\u003cli\u003eUses of Patterns\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eThe Data Processing Chain \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Database\u003c\/li\u003e\n\u003cli\u003eData Warehouse\u003c\/li\u003e\n\u003cli\u003eData Mining\u003c\/li\u003e\n\u003cli\u003eData Visualization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eData Analytics Terminology and Careers \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eReview Wheel\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChapter 2:  BI Concepts \u0026amp; Applications\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eIntroduction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExample: Schools and Academies\u003c\/li\u003e\n\u003cli\u003eBI in Education\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eBI for Better Decisions \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDecision types \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBI Tools\u003c\/li\u003e\n\u003cli\u003eBI Skills\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eBI Applications \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCustomer Relationship Management\u003c\/li\u003e\n\u003cli\u003eHealthcare and Wellness\u003c\/li\u003e\n\u003cli\u003eEducation\u003c\/li\u003e\n\u003cli\u003eRetail Banking\u003c\/li\u003e\n\u003cli\u003eFinancial Services\u003c\/li\u003e\n\u003cli\u003eInsurance Manufacturing\u003c\/li\u003e\n\u003cli\u003eSupply Chain Management\u003c\/li\u003e\n\u003cli\u003eTelecom\u003c\/li\u003e\n\u003cli\u003ePublic Sector\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eReview Wheel \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase Study Exercise \u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChapter 3: Data Warehousing\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eIntroduction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExample: University Health System – BI in Healthcare\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDesign Considerations for DW \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDW Development Approaches \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDW Architecture\u003c\/li\u003e\n\u003cli\u003eData Sources\u003c\/li\u003e\n\u003cli\u003eData Loading Processes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eData Warehouse Design \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDW Access\u003c\/li\u003e\n\u003cli\u003eDW Best Practices\u003c\/li\u003e\n\u003cli\u003eData Lakes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eReview Wheel\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase Study Exercise: Step 2 \u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChapter 4:  Data Mining Introduction\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eIntroduction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExample: Target Corp – Data Mining in Retail\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eGathering and selecting data\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData cleansing and preparation\u003c\/li\u003e\n\u003cli\u003eOutputs of Data Mining\u003c\/li\u003e\n\u003cli\u003eEvaluating Data Mining Results\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eData Mining Techniques\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTools and Platforms for Data Mining\u003c\/li\u003e\n\u003cli\u003eData Mining Best Practices\u003c\/li\u003e\n\u003cli\u003eMyths about data mining\u003c\/li\u003e\n\u003cli\u003eData Mining Mistakes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eReview Wheel\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase Study Exercise: Step 3\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChapter 5: Data Visualization\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eIntroduction\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExample: Dr. Hans Rosling - Visualizing Global Public Health\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eExcellence in Visualization\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTypes of Charts\u003c\/li\u003e\n\u003cli\u003eVisualization Example\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eTips for Data Visualization\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eReview Wheel\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase Study Exercise: Step 4\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChapter 6 Popular Data Mining Techniques\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eDecision Trees\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eExample: Predicting Heart Attacks using Decision Trees\u003c\/li\u003e\n\u003cli\u003eDecision Tree problem\u003c\/li\u003e\n\u003cli\u003eDecision Tree Construction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e Regression and Time Series Analysis\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eCorrelations and Relationships\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eA visual look at relationships\u003c\/li\u003e\n\u003cli\u003eRegression\u003c\/li\u003e\n\u003cli\u003eNon-linear regression\u003c\/li\u003e\n\u003cli\u003eLogistic Regression\u003c\/li\u003e\n\u003cli\u003eAdvantages and Disadvantages of Regression\u003c\/li\u003e\n\u003cli\u003eTime Series Analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eArtificial Neural Networks\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eExample: IBM Watson - Analytics in Medicine\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePrinciples of an Artificial Neural Network\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eBusiness Applications of ANN Design\u003c\/li\u003e\n\u003cli\u003eRepresentation of a Neural Network\u003c\/li\u003e\n\u003cli\u003eArchitecting a Neural Network\u003c\/li\u003e\n\u003cli\u003eDeveloping an ANN\u003c\/li\u003e\n\u003cli\u003eAdvantages and Disadvantages of using ANNs\u003c\/li\u003e\n\u003cli\u003eConclusion\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A58US \/ 2026-08-12T09:00:00 \/ Herndon, VA","offer_id":47534166278363,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269A04CN \/ 2026-09-09T09:00:00 \/ Ottawa","offer_id":47572767604955,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"267D23US \/ 2026-07-08T09:00:00 \/ Online","offer_id":48216561713371,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26AB19US \/ 2026-10-14T09:00:00 \/ New York","offer_id":48216561746139,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BB27US \/ 2026-11-23T09:00:00 \/ Austin","offer_id":48216561778907,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A86US \/ 2027-02-17T09:00:00 \/ Herndon, VA","offer_id":48270695465179,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273B07US \/ 2027-03-10T09:00:00 \/ New York","offer_id":48334734131419,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273A17CN \/ 2027-03-31T09:00:00 \/ Ottawa","offer_id":48525735952603,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274A95US \/ 2027-04-21T09:00:00 \/ Austin","offer_id":48619721195739,"sku":"US-1290-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"applied-data-science-with-python-and-jupyter","title":"Beginner Data Science with Python and Jupyter","description":"\u003cdiv\u003e\u003cp\u003eThis hands-on course introduces data science fundamentals using the Python programming language and the powerful Jupyter Notebook platform. You’ll explore everything from data cleaning and machine learning to web scraping and interactive visualization—turning raw data into smart insights with real-world relevance.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBeginner Data Science with Python and Jupyter Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn by doing: practice with real datasets and coding exercises.\u003c\/li\u003e\n\u003cli\u003eGain fluency in Jupyter Notebooks, Python libraries, and machine learning tools.\u003c\/li\u003e\n\u003cli\u003eBuild models to solve classification problems and interpret results.\u003c\/li\u003e\n\u003cli\u003eScrape data from the web and visualize it like a pro.\u003c\/li\u003e\n\u003cli\u003eWalk away with a toolkit to tackle data-driven problems in any domain.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKnowledge of programming fundamentals and some experience with Python, including Python libraries, Pandas, Matplotlib, and scikit-learn.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eBeginner Data Science with Python and Jupyter Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eLesson 1: Jupyter Fundamentals\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to Jupyter Notebooks\u003c\/li\u003e\n\u003cli\u003eData exploration using the Boston Housing Dataset\u003c\/li\u003e\n\u003cli\u003eFirst steps in predictive analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 2: Data Cleaning \u0026amp; Machine Learning\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eData preprocessing strategies\u003c\/li\u003e\n\u003cli\u003eClassification models: SVM, KNN, Random Forests\u003c\/li\u003e\n\u003cli\u003eModel evaluation and dimensionality reduction (PCA)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 3: Web Scraping \u0026amp; Interactive Visualizations\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eHTTP requests \u0026amp; HTML parsing with Python\u003c\/li\u003e\n\u003cli\u003eData scraping with Beautiful Soup\u003c\/li\u003e\n\u003cli\u003eBuilding interactive plots with Bokeh\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 4: Applied Projects\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eInvestigating datasets through EDA\u003c\/li\u003e\n\u003cli\u003eTraining and tuning classification models\u003c\/li\u003e\n\u003cli\u003eCreating impactful, interactive visualizations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A61US \/ 2026-07-20T09:00:00 \/ Online","offer_id":47534205731035,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269C25US \/ 2026-09-15T09:00:00 \/ Online","offer_id":48216584061147,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA67US \/ 2026-11-09T09:00:00 \/ Online","offer_id":48216584093915,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A79US \/ 2027-01-19T09:00:00 \/ Online","offer_id":48216584126683,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A63US \/ 2027-03-16T09:00:00 \/ Online","offer_id":48377298944219,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A58US \/ 2027-05-17T09:00:00 \/ Online","offer_id":48778590290139,"sku":"US-1263-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"the-apmg-foundation-certificate-in-artificial-intelligence","title":"BCS Foundation Certificate in Artificial Intelligence","description":"\u003cdiv\u003e\n\u003cp\u003eArtificial Intelligence (AI) has recently surged in popularity, becoming part of everyday thinking, transforming industries, and reshaping the future of technology. It revolutionizes how systems learn from experience and mimic human intelligence.\u003c\/p\u003e\r\n\u003cp\u003eThe BCS Foundation Certificate in Artificial Intelligence equips candidates with knowledge of key AI techniques, their use in the real world and their impact on our lives.\u003c\/p\u003e\r\n\u003cp\u003eThis course explores the historical journey of AI, the advantages and challenges of ethical and sustainable AI, the key enablers of AI including data and the future interplay between AI and human roles in the workplace.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBCS Foundation Certificate in Artificial Intelligence Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eThe meaning of AI includes its history and key principles.\u003c\/li\u003e\n\u003cli\u003eThe legal, ethical and regulatory considerations when using AI.\u003c\/li\u003e\n\u003cli\u003eHow humans can use AI to support business activities.\u003c\/li\u003e\n\u003cli\u003eHow to identify opportunities for AI and implement them.\u003c\/li\u003e\n\u003cli\u003eThe impact of AI on the future of society and business.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eRecommended to have basic IT literacy and awareness of business processes.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCertification Exam Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe BCS Foundation Certificate in Artificial Intelligence is a foundation-level certification focused on core AI concepts, technologies, and applications intended for professionals getting started in AI.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDuration\u003c\/strong\u003e: 60-minute, closed-book exam\u003cbr\u003e\u003cstrong\u003eNumber of Questions\u003c\/strong\u003e: 40 multiple-choice questions\u003cbr\u003e\u003cstrong\u003ePassing Score\u003c\/strong\u003e: Answer 26 out of 40 questions (achieve 65% or above)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eArtificial Intelligence Certification Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003e\u003cb\u003eAn Introduction to AI and Historical Development \u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e1.1 Identify the key definitions of key artificial intelligence terms.\u003c\/p\u003e\n\u003cp\u003e1.2 Describe key milestones in the development of artificial intelligence\u003c\/p\u003e\n\u003cp\u003e1.3 Describe different types of AI.\u003c\/p\u003e\n\u003cp\u003e1.4 Explain the impact of AI on society. \u003c\/p\u003e\n\u003cp\u003e1.5 Describe sustainability to help reduce the environmental impact on AI.   \u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003col start=\"2\"\u003e\n\u003cli\u003e\u003cb\u003eEthical and Legal Considerations  \u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e2.1 Describe ethical concerns, including perspective awareness and privacy, in AI.\u003c\/p\u003e\n\u003cp\u003e2.2 Describe the importance of guiding principles in ethical AI development.\u003c\/p\u003e\n\u003cp\u003e2.3 Explain strategies for addressing ethical challenges in AI projects.\u003c\/p\u003e\n\u003cp\u003e2.4 Explain the role of regulation in AI.  \u003c\/p\u003e\n\u003cp\u003e2.5 Explain the process of risk management in AI. \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003col start=\"3\"\u003e\n\u003cli\u003e\u003cb\u003eEnablers of Artificial Intelligence   \u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e3.1 List common examples of AI \u003c\/p\u003e\n\u003cp\u003e3.2 Describe the role of robotics in AI.  \u003c\/p\u003e\n\u003cp\u003e3.3 Describe machine learning.   \u003c\/p\u003e\n\u003cp\u003e3.4 Identify common machine learning concepts.\u003c\/p\u003e\n\u003cp\u003e3.5 Describe supervised and unsupervised learning.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003col start=\"4\"\u003e\n\u003cli\u003e\u003cb\u003eEnablers of Artificial Intelligence\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e4.1 Describe key data terms.\u003c\/p\u003e\n\u003cp\u003e4.2 Describe the characteristics of data quality and why it is important in AI.\u003c\/p\u003e\n\u003cp\u003e4.3 Explain the risks associated with handling data in AI and how to minimize them.\u003c\/p\u003e\n\u003cp\u003e4.4 Describe the purpose and use of big data.\u003c\/p\u003e\n\u003cp\u003e4.5 Explain data visualization techniques and tools.\u003c\/p\u003e\n\u003cp\u003e4.6 Describe key generative AI terms.\u003c\/p\u003e\n\u003cp\u003e4.7 Describe the purpose and use of generative AI including large language models.\u003c\/p\u003e\n\u003cp\u003e4.8 Describe how data is used to train AI in the Machine Learning process.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003col start=\"5\"\u003e\n\u003cli\u003e\u003cb\u003eUsing AI in your Organization \u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e5.1 Identify opportunities for AI in your organization.\u003c\/p\u003e\n\u003cp\u003e5.2 List the contents and structure of a business case\u003c\/p\u003e\n\u003cp\u003e5.3 Identify and categorize stakeholders relevant to an AI project.\u003c\/p\u003e\n\u003cp\u003e5.4 Describe project management approaches.\u003c\/p\u003e\n\u003cp\u003e5.5 Identify the risks, costs and benefits associated with a proposed solution.\u003c\/p\u003e\n\u003cp\u003e5.6 Describe the ongoing governance activities required when implementing AI.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003col start=\"6\"\u003e\n\u003cli\u003e\u003cb\u003eFuture Planning and Impact – Human Plus Machine\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e6.1 Describe the roles and career opportunities presented by AI.\u003c\/p\u003e\n\u003cp\u003e6.2 Identify AI uses in the real world.\u003c\/p\u003e\n\u003cp\u003e6.3 Explain AI’s impact on society, and the future of AI.\u003c\/p\u003e\n\u003cp\u003e6.4 Describe consciousness and its impact on ethical AI.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267B01US \/ 2026-07-29T09:00:00 \/ New York","offer_id":47534206976219,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"268A08CN \/ 2026-08-26T09:00:00 \/ Ottawa","offer_id":47534207008987,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26AB27US \/ 2026-10-14T09:00:00 \/ Austin","offer_id":48216534974683,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BB45US \/ 2026-11-04T09:00:00 \/ Herndon, VA","offer_id":48216535040219,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26CB06US \/ 2026-12-16T09:00:00 \/ New York","offer_id":48216535072987,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271A18CN \/ 2027-01-13T09:00:00 \/ Ottawa","offer_id":48216535105755,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273B19US \/ 2027-03-10T09:00:00 \/ Austin","offer_id":48334728167643,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274B08US \/ 2027-04-07T09:00:00 \/ Herndon, VA","offer_id":48570238664923,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275B35US \/ 2027-05-12T09:00:00 \/ New York","offer_id":48762861617371,"sku":"US-1298-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"microsoft-azure-ai-fundamentals-training-ai-900","title":"Introduction to AI in Azure (AI-901)","description":"\u003cdiv\u003e\u003cp\u003eThis course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to AI in Azure (AI-901) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGain a solid foundation in AI concepts including machine learning, NLP, computer vision, and generative AI.\u003c\/li\u003e\n\u003cli\u003eLearn hands-on with Azure AI Foundry to build and test intelligent applications.\u003c\/li\u003e\n\u003cli\u003eUnderstand real-world applications of AI such as text analysis, speech recognition, image analysis, and information extraction.\u003c\/li\u003e\n\u003cli\u003eExplore responsible AI practices to design solutions that are ethical and trustworthy.\u003c\/li\u003e\n\u003cli\u003ePrepare for more advanced AI projects by establishing a strong base in both theory and Azure tools.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites:\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003ePrerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.\u003c\/p\u003e\n\u003cp\u003eBefore taking this course, students should have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExperience using computers and the internet.\u003c\/li\u003e\n\u003cli\u003eInterest in use cases for AI applications and machine learning models.\u003c\/li\u003e\n\u003cli\u003eA willingness to learn through hands-on exploration.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eExam Information:\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis course can help you prepare for the following Microsoft role-based certification exam — \u003ca href=\"https:\/\/docs.microsoft.com\/en-us\/learn\/certifications\/exams\/ai-900\" title=\"Exam AI-901: Microsoft Certified: Azure AI Fundamentals\" target=\"_blank\" rel=\"nofollow noopener\"\u003eExam AI-901: Microsoft Certified: Azure AI Fundamentals\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eIntroduction to AI in Azure Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003eChapter 1: Introduction to AI Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 2: Introduction to Machine Learning Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand machine learning types, regression, classification, clustering, deep learning, and transformers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 3: Get Started with Machine Learning in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLearn to define problems, prepare data, train models, and use Azure Machine Learning Studio.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 4: Introduction to Generative AI Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDiscover how language models and transformers generate original content and apply responsible practices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 5: Get Started with Generative AI in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 6: Introduction to Natural Language Processing Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLearn the fundamentals of NLP, from statistical techniques to semantic models.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 7: Get Started with Natural Language Processing in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eApply Azure AI Language services for sentiment analysis, conversational AI, and translation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 8: Get Started with Speech in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eRecognize and synthesize speech with Azure AI Speech services.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 9: Introduction to Computer Vision Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore image processing, modern vision models, and machine learning for vision.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 10: Get Started with Computer Vision in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure AI Vision services to analyze images and detect faces.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 11: Introduction to AI-Powered Information Extraction Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand how to extract data from images, forms, and multimodal sources.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 12: Get Started with AI-Powered Information Extraction in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure AI services to extract insights, build knowledge mining solutions, and analyze documents.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"266B79US \/ 2026-06-29T09:00:00 \/ Online","offer_id":47534175846619,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268B96US \/ 2026-08-31T09:00:00 \/ Online","offer_id":47534175912155,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA17US \/ 2026-10-01T09:00:00 \/ Online","offer_id":47638415933659,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268B01CN \/ 2026-08-10T09:00:00 \/ Online","offer_id":48216544149723,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA42CN \/ 2026-10-26T09:00:00 \/ Online","offer_id":48216544182491,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BB37US \/ 2026-11-10T09:00:00 \/ Online","offer_id":48216544215259,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BB38US \/ 2026-11-24T09:00:00 \/ Online","offer_id":48216544248027,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CB02US \/ 2026-12-07T09:00:00 \/ Online","offer_id":48216544280795,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A61CN \/ 2027-01-12T09:00:00 \/ Online","offer_id":48216544313563,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A93US \/ 2027-02-22T09:00:00 \/ Online","offer_id":48291026960603,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A55CN \/ 2027-03-22T09:00:00 \/ Online","offer_id":48498605719771,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273B17US \/ 2027-03-31T09:00:00 \/ Online","offer_id":48525735362779,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274B03US \/ 2027-04-12T09:00:00 \/ Online","offer_id":48586421895387,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275B27US \/ 2027-05-11T09:00:00 \/ Online","offer_id":48759292985563,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275B28US \/ 2027-05-25T09:00:00 \/ Online","offer_id":48804199104731,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269D46US \/ 2026-09-16T09:00:00 \/ Online","offer_id":48837148016859,"sku":"US-8580-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"artificial-intelligence-strategies-for-project-managers-training","title":"Generative AI Strategies for Project Managers","description":"\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eUnlocking the Power of AI for Project Success: A Hands-on Guide for Project Managers\u003c\/b\u003e\u003c\/p\u003e\r\n\u003cp\u003eReady to unlock the power of AI for your projects? Embark on this journey and become a pioneer in leading the future of project management!\u003c\/p\u003e\r\n\u003cp\u003eThis comprehensive course is designed to equip project managers with the skills and knowledge to harness the power of Artificial Intelligence (AI), specifically Generative AI (Gen AI). Build confidence in interacting with these powerful tools with interactive demonstrations, hands-on activities, ready-to-use Prompt Libraries and Cheat sheets.\u003c\/p\u003e\r\n\u003cp\u003eBy the end of this course, you will be able to inspire and lead your team in embracing the transformative potential of AI for project management.\u003c\/p\u003e\r\n\u003cp\u003eGet ready to:\u003c\/p\u003e\r\n\u003cul\u003e\r\n\u003cli\u003e\n\u003cb\u003eDemystify the jargon:\u003c\/b\u003e Develop a clear understanding of key AI terms and concepts, empowering you to navigate this rapidly evolving field with confidence.\u003c\/li\u003e\r\n\u003cli\u003eEmbrace AI strategies: Learn practical techniques to integrate AI into your project management workflows, from planning and risk assessment to task automation and communication optimization.\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cb\u003eDiscover cutting-edge tools\u003c\/b\u003e: Explore the capabilities of leading generative AI models like Open AI’s ChatGPT, Google’s Gemini, and Microsoft’s Copilot, and understand how to effectively leverage them in your projects.\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cb\u003eMaster prompt engineering\u003c\/b\u003e: Craft effective prompts to elicit the precise outputs you need, unlocking the full potential of generative AI for tasks ranging from content creation to risk identification.\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cb\u003eOptimize output\u003c\/b\u003e: Learn best practices for formatting and refining AI-generated content to ensure it aligns seamlessly with your project goals and communication needs.\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cb\u003eExplore advanced applications\u003c\/b\u003e: Dive into real-world examples of how generative AI is driving innovation in project management, inspiring creativity, enhancing collaboration, and fostering deeper empathy within teams.\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cb\u003eNavigate challenges and ethics\u003c\/b\u003e: Gain insights into the ethical considerations and potential challenges associated with AI, ensuring responsible and equitable implementation in your projects.\u003c\/li\u003e\r\n\u003cli\u003e\n\u003cb\u003eAnticipate future trends\u003c\/b\u003e: Explore emerging AI capabilities like multi-modal prompting and their implications for the future of project management, preparing you to stay ahead of the curve.\u003c\/li\u003e\r\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGenerative AI Strategies for Project Managers Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eThis course includes the following benefits:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTailored for Beginners: Clear, approachable content demystifies AI for new users entering the business sphere.\u003c\/li\u003e\n\u003cli\u003eReal-world Applications: Discover how AI can enhance your project management practice.\u003c\/li\u003e\n\u003cli\u003eAfter-course instructor coaching included\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIt is strongly recommended that attendees have prior experience in project management. While the course will delve into the strategic utilization of AI tools within project management contexts, it is essential to emphasize that AI technologies cannot substitute project management best practices or the expertise gained through hands-on project management experience. \u003c\/p\u003e\n\u003cp\u003eAttendees should pre-register for the free versions of the following tools for exercises purposes: ChatGPT, Google’s Gemini, Microsoft’s Copilot and PMI Infinity (for PMI members only – others can skip).\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Strategies for Project Managers Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eIntroduction to Generative AI\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplore AI models at a glance\u003c\/li\u003e\n\u003cli\u003eExamine Open AI’s ChatGPT, Google’s Gemini, and Microsoft’s Copilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eProject Management Use Cases\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCraft simple instruction prompts\u003c\/li\u003e\n\u003cli\u003eEmploy common prompting techniques\u003c\/li\u003e\n\u003cli\u003eOptimize output formatting\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eAdvanced Applications of AI\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRefine prompts through iterative prompt tuning\u003c\/li\u003e\n\u003cli\u003eAnalyze real-world examples of generative AI in projects\u003c\/li\u003e\n\u003cli\u003eFoster creative inspiration and empathetic conversations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eChallenges and Future Trends\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify Challenges and Ethical Considerations\u003c\/li\u003e\n\u003cli\u003eAssess Future Trends and Job Risk\u003c\/li\u003e\n\u003cli\u003eNavigate the direction for future application\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eCourse Summary\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntegrate key learnings from the course in your project management practice\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A23US \/ 2026-06-15T09:00:00 \/ Online","offer_id":47250436096219,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"267A19US \/ 2026-07-20T09:00:00 \/ Online","offer_id":47275141628123,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269A16US \/ 2026-09-04T09:00:00 \/ Online","offer_id":47516535980251,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269C02US \/ 2026-09-22T09:00:00 \/ Online","offer_id":48039759085787,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA29US \/ 2026-10-19T09:00:00 \/ Online","offer_id":48041969713371,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA23US \/ 2026-11-23T09:00:00 \/ Online","offer_id":48050283348187,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CA24US \/ 2026-12-15T09:00:00 \/ Online","offer_id":48055062167771,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A17US \/ 2027-01-19T09:00:00 \/ Online","offer_id":48161140801755,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A11US \/ 2027-02-16T09:00:00 \/ Online","offer_id":48266083893467,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A15US \/ 2027-03-22T09:00:00 \/ Online","offer_id":48498605949147,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A10US \/ 2027-04-19T09:00:00 \/ Online","offer_id":48612315398363,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A15US \/ 2027-05-21T09:00:00 \/ Online","offer_id":48792003510491,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269D55US \/ 2026-09-29T09:00:00 \/ Online","offer_id":48837147427035,"sku":"US-4705-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"implement-real-time-intelligence-with-microsoft-fabric-dp-603","title":"Implement Real-Time Intelligence with Microsoft Fabric (DP-603)","description":"\u003cdiv\u003e\u003cp\u003eThis DP-603 Course provides a comprehensive introduction to real-time intelligence within Microsoft Fabric. Participants will learn how to source streaming data, utilize Eventstream for real-time data processing, query data using KQL, and create dynamic real-time dashboards.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplement Real-Time Intelligence with Microsoft Fabric (DP-603) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSource various streaming data into Microsoft Fabric.\u003c\/li\u003e\n\u003cli\u003eUtilize Microsoft Fabric's Eventstream for real-time data analysis.\u003c\/li\u003e\n\u003cli\u003eQuery databases within Microsoft Fabric using KQL.\u003c\/li\u003e\n\u003cli\u003eCreate and customize real-time dashboards for analytics and visualization.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic familiarity with the Azure portal and resource groups.\u003c\/li\u003e\n\u003cli\u003eUnderstanding of streaming data concepts.\u003c\/li\u003e\n\u003cli\u003eNo specific exam preparation provided in this course.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDP-603 Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eGet started with Real-Time Analytics in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eAnalysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Analytics capabilities of Microsoft Fabric to ingest, query, and process streams of data.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLearning objectives\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you'll learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe Real-Time Analytics in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eCreate Real-Time Analytics databases and tables\u003c\/li\u003e\n\u003cli\u003eUse KQL to query tables\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eUse real time eventstreams in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eThis module is an introduction to the Microsoft Fabric Eventstream within Real-Time Analytics (RTA)\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLearning objectives\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEstablish source and destinations in Eventstream\u003c\/li\u003e\n\u003cli\u003eView the data in-flight in eventstream items\u003c\/li\u003e\n\u003cli\u003eCapture, transform, and route data using Eventstream\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eQuery data in a KQL database in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eThis module provides a brief introduction to KQL (Kusto Query Language) queries using Querysets and the major differences between KQL and T-SQL when using Querysets.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLearning objectives\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse basic syntax and of Kusto Query Language (KQL).\u003c\/li\u003e\n\u003cli\u003eUnderstand the basics of the Queryset canvas.\u003c\/li\u003e\n\u003cli\u003eDescribe how to execute T-SQL queries in the Queryset canvas.\u003c\/li\u003e\n\u003cli\u003eDescribe how to convert T-SQL queries into KQL queries.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A94US \/ 2026-07-22T09:00:00 \/ Online","offer_id":47534210941147,"sku":"US-8704-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C24US \/ 2027-01-19T09:00:00 \/ Online","offer_id":48216573182171,"sku":"US-8704-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"implement-a-data-science-and-machine-learning-solution-for-ai-with-microsoft-fabric-dp-604","title":"Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604)","description":"\u003cdiv\u003e\u003cp\u003eThis learning path explores the end-to-end data science process in Microsoft Fabric, from data exploration and preparation to machine learning model training and deployment. Learners gain hands-on experience using notebooks, Data Wrangler, MLflow, and Fabric-native tools to build, track, and operationalize machine learning solutions for AI-driven analytics.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLoad and manage data in a Lakehouse within Microsoft Fabric.\u003c\/li\u003e\n\u003cli\u003eUtilize notebooks for comprehensive data exploration.\u003c\/li\u003e\n\u003cli\u003ePreprocess data using Microsoft Fabric's Data Wrangler for optimized model training.\u003c\/li\u003e\n\u003cli\u003eTrain and manage machine learning models with MLflow, tracking experiments effectively.\u003c\/li\u003e\n\u003cli\u003eGenerate batch predictions to apply AI in practical scenarios.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with basic data concepts and terminology.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDP-604 Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e1. Introduction to End-to-End Analytics Using Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eOverview of Microsoft Fabric and unified analytics\u003c\/li\u003e\n\u003cli\u003eEnd-to-end analytics architecture\u003c\/li\u003e\n\u003cli\u003eData teams and collaboration in Fabric\u003c\/li\u003e\n\u003cli\u003eEnabling and using Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e2. Get Started with Data Science in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstanding the data science lifecycle\u003c\/li\u003e\n\u003cli\u003eExploring and processing data in Fabric\u003c\/li\u003e\n\u003cli\u003eTraining and scoring models\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Explore data science workflows in Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e3. Explore Data for Data Science with Notebooks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUsing Fabric notebooks for data exploration\u003c\/li\u003e\n\u003cli\u003eLoading and analyzing datasets\u003c\/li\u003e\n\u003cli\u003eUnderstanding data distribution and missing values\u003c\/li\u003e\n\u003cli\u003eApplying advanced exploration techniques\u003c\/li\u003e\n\u003cli\u003eVisualizing data with charts\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Perform data exploration using notebooks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e4. Preprocess Data with Data Wrangler\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstanding Data Wrangler capabilities\u003c\/li\u003e\n\u003cli\u003ePerforming exploratory data analysis\u003c\/li\u003e\n\u003cli\u003eHandling missing and inconsistent data\u003c\/li\u003e\n\u003cli\u003eTransforming features with operators\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Preprocess data for machine learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e5. Train and Track Machine Learning Models with MLflow\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTraining machine learning models in notebooks\u003c\/li\u003e\n\u003cli\u003eTracking experiments with MLflow\u003c\/li\u003e\n\u003cli\u003eManaging models in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Train and track a machine learning model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr size=\"2\" width=\"100%\" align=\"center\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e6. Generate Batch Predictions Using Deployed Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCustomizing models for batch scoring\u003c\/li\u003e\n\u003cli\u003ePreparing data for predictions\u003c\/li\u003e\n\u003cli\u003eGenerating and storing predictions in Delta tables\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Generate and save batch predictions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A95US \/ 2026-07-23T09:00:00 \/ Online","offer_id":47534211006683,"sku":"US-8705-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C25US \/ 2027-01-20T09:00:00 \/ Online","offer_id":48216573739227,"sku":"US-8705-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-cybersecurity-attack-and-defend","title":"AI and Cyber Security: Attack and Defend","description":"\u003cdiv\u003e\n\u003cp\u003eThis course explores the intersection of AI and cybersecurity, starting with a deep dive into AI architecture, including machine learning, deep neural networks, large language models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI.\u003c\/p\u003e\r\n\u003cp\u003eParticipants will learn to securely train models, and manage risks using frameworks like the NIST AI RMF. The curriculum covers OWASP vulnerabilities in ML, LLMs, RAG and agentic AI, and focuses on adversarial AI attacks, and the weaponization of AI for social engineering and deepfakes. Finally, it demonstrates how to transform Security Operations (SecOps) with AI-powered detection and response and navigate the global regulatory landscape, including the EU AI Act.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI and Cyber Security: Attack and Defend Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDiscover the AI security ecosystem and the core principles of ML\u003c\/li\u003e\n\u003cli\u003eIdentify attack points of foundation models, genAI, LLM, RAG, and Agentic AI\u003c\/li\u003e\n\u003cli\u003eSecurely train deep neural networks and ensure privacy with federated learning\u003c\/li\u003e\n\u003cli\u003eEstablish a foundation in security risk management and categorize threats to ML models\u003c\/li\u003e\n\u003cli\u003eApply the NIST AI RMF to govern risks throughout the AI lifecycle\u003c\/li\u003e\n\u003cli\u003eImplement defense-in-depth to mitigate vulnerabilities in ML, GenAI, and Agentic systems\u003c\/li\u003e\n\u003cli\u003eUtilize AI hacking techniques for red team proactive defense\u003c\/li\u003e\n\u003cli\u003eLeverage AI-powered SecOps, using SIEM, and SOAR to enhance threat hunting and automate response\u003c\/li\u003e\n\u003cli\u003eComply with AI regulations, including the EU AI Act and US Executive Orders\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cdiv\u003e\n\u003cp paraeid=\"{b3c84709-5dae-4dc0-b97d-e0e815dde4cd}{188}\" paraid=\"690594779\"\u003e\u003cstrong\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003eTraining Prerequisites\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp paraeid=\"{b3c84709-5dae-4dc0-b97d-e0e815dde4cd}{194}\" paraid=\"707607176\"\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan data-ccp-parastyle=\"No Spacing\"\u003eAttendees should have foundational knowledge in networking and cybersecurity.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Cybersecurity Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003eChapter 1: Architecture and Operation of AI\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEvolution of AI technology from ML and Deep Neural Networks to Agentic AI\u003c\/li\u003e\n\u003cli\u003eGenAI system architecture and attack points\u003c\/li\u003e\n\u003cli\u003eTraining models with MLOps pipeline, and securing and partitioning datasets\u003c\/li\u003e\n\u003cli\u003eTransfer learning of Foundation Models and fine-tuning\u003c\/li\u003e\n\u003cli\u003eNLP mechanics comprising word embeddings, self-attention, and LLM context window\u003c\/li\u003e\n\u003cli\u003eConnecting to knowledge bases with RAG and context window overflow\u003c\/li\u003e\n\u003cli\u003eAI agents functions (Perception, Planning, Action, Learning), and enrichment “Loop of death”\u003c\/li\u003e\n\u003cli\u003eDiscriminative vs Generative AI models and multimodal prompting\u003c\/li\u003e\n\u003cli\u003eDo Nows: Tinker With a Neural Network using TensorFlow Playground, Exploring CNN, Examine Federated Learning, Google Natural Language API Analysis, Building AI Agents with Vertex AI, Google AI Studio\u003c\/li\u003e\n\u003cli\u003eDemo: Creating a Co-Occurrence Matrix\u003c\/li\u003e\n\u003cli\u003eLAB: Utilizing a Small Language Model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 2: Risk in Adopting AI Solutions\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eMitigating risk with CIANA+PS pillars and Risk Register\u003c\/li\u003e\n\u003cli\u003eTracking AI vulnerabilities using CVE and CWE dictionaries\u003c\/li\u003e\n\u003cli\u003eZero Trust Frameworks applied to AI “Quad of IAM”\u003c\/li\u003e\n\u003cli\u003eEthics and Autonomy with human in the loop, and risks with PII, Intellectual Property and Bias\u003c\/li\u003e\n\u003cli\u003eAI Threat Mind Map categorizing threats to\/from models, including human risks\u003c\/li\u003e\n\u003cli\u003eNIST AI RMF core functions(Govern, Map, Measure, and Manage), risks and TEVV processes\u003c\/li\u003e\n\u003cli\u003eMitigate Risk With Trustworthy AI and Privacy-Enhanced AI\u003c\/li\u003e\n\u003cli\u003eAssessing maturity with the AI CMM\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eAI Risk Assessment Process with RMF Generative AI Profile\u003c\/li\u003e\n\u003cli\u003eMitigating GenAI Risks with grounding, risk signals and DLP safeguards\u003c\/li\u003e\n\u003cli\u003eOWASP Top 10 ML, LLM and Agentic AI Security Risks\u003c\/li\u003e\n\u003cli\u003eDo Nows: Known AI Vulnerabilities, Harm to Organizations, NIST AI RMF Playbook, OWASP AI Privacy, Trolley Problem Ethical Dilemma, Risks of “Free Services”, DoD RAI Risk Assessment, Detection with DLP and GenAI, Attacking the OWASP Top Ten ML, LLM and Agentic AI\u003c\/li\u003e\n\u003cli\u003eLAB: Conducting an AI Risk Assessment\u003c\/li\u003e\n\u003cli\u003eLAB: Deidentify GenAI Responses\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul type=\"disc\"\u003e\u003c\/ul\u003e\n\u003cp\u003eChapter 3: Securing AI Vulnerabilities\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntegrate security into all phases of AI SDLC Lifecycle\u003c\/li\u003e\n\u003cli\u003eAdversarial attacks including, GenAI classification, NLP, Dataset poisoning, backdoor Trojan, “Man in the Prompt”\u003c\/li\u003e\n\u003cli\u003eSecure AI with AI-BOM, sanitization, and security controls\u003c\/li\u003e\n\u003cli\u003eSecure RAG against, indirect prompt injection, data poisoning, embedding inversion, pirate attack\u003c\/li\u003e\n\u003cli\u003eAgentic AI kill chain and threat model\u003c\/li\u003e\n\u003cli\u003eExtending the SAIF Risk Map for AI Agents\u003c\/li\u003e\n\u003cli\u003eHacking Agentic AI through rebus, excessive agency, goal hijacking and tool misuse\u003c\/li\u003e\n\u003cli\u003ePrompt Hacking with injection, jailbreaking and system prompt leaking\u003c\/li\u003e\n\u003cli\u003eDefensive Guardrails including the Google SAIF, AI Agent Firewalls and Model Armor\u003c\/li\u003e\n\u003cli\u003eOWASP AI Threat Model\u003c\/li\u003e\n\u003cli\u003eAI red teaming for proactive defense and interactive testing\u003c\/li\u003e\n\u003cli\u003eSecuring Gen AI with Logging and Monitoring, and Agentic AI with Evaluation Services and AgentOps\u003c\/li\u003e\n\u003cli\u003eDo Nows: Coercing Misclassification of an ML Model, OWASP Agentic AI Threats and Mitigations, OWASP Agentic AI Top 10: Threats in the Wild, System Prompt Security, Prompt Engineering for Generative AI, SAIF Risk Self Assessment, OWASP AI Security Matrix, OWASP Threat Modeling of an LLM Application, DEFCON GenAI Attack Strategies, OWASP GenAI Red Teaming Strategy, RAI Toolkit, Investigating Adversarial Attacks with ART\u003c\/li\u003e\n\u003cli\u003eLAB: Penetration Testing an AI System\u003c\/li\u003e\n\u003cli\u003eLAB: Safeguarding With Gemini AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 4: AI Powered Hacking\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTraditional hacking phases enhanced by AI smart automation, reinforcement learning to evade detection and Out-of-the-Box AI Thinking\u003c\/li\u003e\n\u003cli\u003eAutonomous hacking in the DARPA DEFCON Cyber Grand Challenge\u003c\/li\u003e\n\u003cli\u003eBelievable AI-Infused Social Engineering and GenAI fraud\u003c\/li\u003e\n\u003cli\u003eDeepfake technology fabricates target’s video and audio\u003c\/li\u003e\n\u003cli\u003eAI infused tools including Nmap, Metasploit, and Wireshark enhancements\u003c\/li\u003e\n\u003cli\u003eSide channel attacks like AI acoustic keyboard monitoring\u003c\/li\u003e\n\u003cli\u003eThe Long Con using AI to build trust and erode resilience over time\u003c\/li\u003e\n\u003cli\u003eDoNows: Bing Chat as a Social Engineer, Famous Deepfakes, Creating Deepfakes\u003c\/li\u003e\n\u003cli\u003eLAB: Enhance Hacking With GenAI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 5: Defending Security Operations With AI\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eModern SecOps using Autonomic Security Operations and CD\/CR pipelines\u003c\/li\u003e\n\u003cli\u003eBenefits of AI in Cybersecurity and AI Powering SecOps Functions\u003c\/li\u003e\n\u003cli\u003eAI Powered detection for intrusions and malware\u003c\/li\u003e\n\u003cli\u003eAI-Powered IGA, IAM, Security Analytics and Incident Response\u003c\/li\u003e\n\u003cli\u003eGenAI in SIEM, SOAR, TIM using intelligent data ingestion, automated playbooks and NLP\u003c\/li\u003e\n\u003cli\u003eThe MITRE ATLAS matrix for understanding AI adversarial tactics\u003c\/li\u003e\n\u003cli\u003eGoogle AI SecOps leveraging Gemini, SecLM and Mandiant for threat intelligence\u003c\/li\u003e\n\u003cli\u003eGoogle Agentic SOC Defense\u003c\/li\u003e\n\u003cli\u003eMicrosoft Security Copilot and GitHub Copilot for malware reverse engineering and policy summarization\u003c\/li\u003e\n\u003cli\u003eDoNows: Threat Intelligence Platform AV-ATLAS, MITRE ATLAS Navigator\u003c\/li\u003e\n\u003cli\u003eLAB: Analyze a Codebase With Gemini\u003c\/li\u003e\n\u003cli\u003eLAB: SecOps Threat Hunting With AI\u003c\/li\u003e\n\u003cli\u003eLAB: Anatomy of an AI Model Attack\u003c\/li\u003e\n\u003cli\u003eLAB: Secure Coding With AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 6: Regulating AI Governance\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGlobal regulations such as UN Ethics of AI and accountability standards\u003c\/li\u003e\n\u003cli\u003eThe EU AI Act risk based framework\u003c\/li\u003e\n\u003cli\u003eUS Executive AI Order\u003c\/li\u003e\n\u003cli\u003ePillars of Trustworthy AI comprising responsible, reliable, and resilient systems\u003c\/li\u003e\n\u003cli\u003eGoogle’s Responsible AI and the \"Agentic\" Shift\u003c\/li\u003e\n\u003cli\u003eEU AIGA Hourglass Model Governance framework\u003c\/li\u003e\n\u003cli\u003eThe OECD AI system lifecycle stages\u003c\/li\u003e\n\u003cli\u003eModel AI Governance Framework (MGF) for Agentic AI\u003c\/li\u003e\n\u003cli\u003eFour dimensions of Agentic AI\u003c\/li\u003e\n\u003cli\u003eDoNow: AIGA AI Governance Lifecycle\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267C01US \/ 2026-07-22T09:00:00 \/ Online","offer_id":47534203404507,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"268A04CN \/ 2026-08-26T09:00:00 \/ Ottawa","offer_id":47534203437275,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"268B62US \/ 2026-08-05T09:00:00 \/ Austin","offer_id":47534203470043,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269B27US \/ 2026-09-09T09:00:00 \/ New York","offer_id":47572772847835,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"266A64CN \/ 2026-06-16T09:00:00 \/ Online","offer_id":48216538448091,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26AA38US \/ 2026-10-21T09:00:00 \/ San Francisco","offer_id":48216538480859,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA05CN \/ 2026-11-04T09:00:00 \/ Toronto","offer_id":48216538513627,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA32US \/ 2026-11-23T09:00:00 \/ Aurora, CO","offer_id":48216538546395,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26CA33US \/ 2026-12-09T09:00:00 \/ Herndon, VA","offer_id":48216538579163,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26CA34US \/ 2026-12-16T09:00:00 \/ Austin","offer_id":48216538611931,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271A04CN \/ 2027-01-20T09:00:00 \/ Ottawa","offer_id":48216538644699,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A21US \/ 2027-02-03T09:00:00 \/ New York","offer_id":48216538677467,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274A04CN \/ 2027-04-14T09:00:00 \/ Toronto","offer_id":48591359770843,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A25US \/ 2027-05-05T09:00:00 \/ Bellevue, WA","offer_id":48741617402075,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A26US \/ 2027-05-19T09:00:00 \/ Herndon, VA","offer_id":48783423373531,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"276A26US \/ 2027-06-02T09:00:00 \/ Austin","offer_id":48825878610139,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269D10US \/ 2026-09-16T09:00:00 \/ Online","offer_id":48837147459803,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269D11US \/ 2026-09-23T09:00:00 \/ Online","offer_id":48837147492571,"sku":"US-1216-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"aiops-foundation-aiof-certification","title":"AIOps Foundation (AIOF) Certification","description":"\u003cdiv\u003e\n\u003cp\u003eThe AIOps Foundation (AIOF) Certification course introduces the concepts, principles, and practices of Artificial Intelligence for IT Operations (AIOps). Participants learn how AIOps leverages data, machine learning, and automation to improve operational performance, reduce incident impact, and enable proactive, resilient IT operations. This course provides a practical understanding of AIOps use cases, core technologies, metrics, and implementation considerations. It prepares attendees for the AIOps Foundation (AIOF) certification exam, administered by PeopleCert on behalf of the DevOps Institute.\u003c\/p\u003e\r\n\u003cp\u003eThis course positions learners to successfully complete the AIOps Foundation certification exam.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAIOps Foundation (AIOF) Certification Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOfficial PeopleCert training materials and AIOps exam included\u003c\/li\u003e\n\u003cli\u003eTake2 exam retake option included\u003c\/li\u003e\n\u003cli\u003eExam-focused coverage of all syllabus learning outcomes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eAudience \u0026amp; Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eWho Should Attend: \u003c\/b\u003eIT operations, infrastructure, and service management professionals; Site Reliability Engineers (SREs) and DevOps practitioners; IT leaders and managers responsible for operational performance; Professionals exploring AI-driven operations and automation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePrerequisites:\u003c\/b\u003e There are no formal prerequisites for the course or exam.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRecommended Knowledge:\u003c\/b\u003e Familiarity with IT operations, DevOps, or service management concepts is recommended.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eCertification \u0026amp; Exam Information\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003e\n\u003cb\u003eExam Name:\u003c\/b\u003e AIOps Foundation (AIOF)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDuration:\u003c\/b\u003e 60 minutes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eQuestions:\u003c\/b\u003e 40\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePass Mark:\u003c\/b\u003e 26\/40 (65%)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFormat:\u003c\/b\u003e Multiple choice, open book\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExam Delivery:\u003c\/b\u003e Online via PeopleCert web proctoring\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eWhat to Expect\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eExam Prep Course\u003c\/b\u003e: This course is designed to help you prepare for both the foundation and practitioner certification exams. You can expect coverage of all exam learning objectives, with a focus on understanding key concepts, terminology, and how they’re assessed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eContent Volume\u003c\/b\u003e: Certification courses cover a large amount of material in a short time. Instructors prioritize content tied to exam objectives. Supplementary topics will be addressed as time allows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eClass Pace\u003c\/b\u003e: Certification courses are fast-paced and adhere to a strict schedule, ensuring all exam objectives are covered. While discussions and examples are included, the focus remains on certification readiness.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOutside of Class Study Time:\u003c\/b\u003e Plan for self-study outside of class, especially if the concepts are new to you. Passing the exam is not guaranteed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAIOps Foundation Certification Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eRequired Pre-Course Preparation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eReview all pre-course communication from Learning Tree before class to understand how to access all your course materials.\u003c\/li\u003e\n\u003cli\u003eEnsure you have access to your My Learning Tree portals before the start of class. Reach out to Learning Tree customer service if you are having trouble.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Establish the AIOps Foundation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTrace the history and predecessors of AIOps\u003c\/li\u003e\n\u003cli\u003eDefine AIOps and distinguish it from IT operations analytics\u003c\/li\u003e\n\u003cli\u003eUnderstand core technologies and concepts\u003c\/li\u003e\n\u003cli\u003eExplore the stages of an AIOps system\u003c\/li\u003e\n\u003cli\u003eIdentify overlapping practices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: AIOps Transforms the Organization\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand the drivers for AIOps adoption\u003c\/li\u003e\n\u003cli\u003eBridge AIOps and DevOps\u003c\/li\u003e\n\u003cli\u003eSupport Site Reliability Engineering with AIOps\u003c\/li\u003e\n\u003cli\u003eIntegrate AIOps with security practices\u003c\/li\u003e\n\u003cli\u003eAddress data, telemetry, and system complexity\u003c\/li\u003e\n\u003cli\u003eUnderstand a new paradigm for system state awareness\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Master Core Technologies – Data\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand big data fundamentals and the five V’s\u003c\/li\u003e\n\u003cli\u003eExamine characteristics of operational data\u003c\/li\u003e\n\u003cli\u003eIdentify AIOps data sources and data types\u003c\/li\u003e\n\u003cli\u003eNavigate diverse and complex data environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Leverage Core Technologies – Machine Learning (ML)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand AI and machine learning fundamentals\u003c\/li\u003e\n\u003cli\u003eCompare supervised and unsupervised learning\u003c\/li\u003e\n\u003cli\u003eDistinguish machine learning from analytics\u003c\/li\u003e\n\u003cli\u003eUnderstand model training and lifecycle concepts\u003c\/li\u003e\n\u003cli\u003eExplore the role of AIOps in the future of AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: AIOps and Operational Metrics\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand operational performance metrics\u003c\/li\u003e\n\u003cli\u003eTrack key metrics across systems and services\u003c\/li\u003e\n\u003cli\u003eDefine objectives, indicators, and agreements\u003c\/li\u003e\n\u003cli\u003eMeasure incident-related metrics (MTTD, MTBF, MTTA, MTTR)\u003c\/li\u003e\n\u003cli\u003eSupport service level objectives and agreements\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: AIOps Use Cases and Shifting the Organizational Mindset\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eShift from reactive to proactive operations\u003c\/li\u003e\n\u003cli\u003eUnderstand deterministic vs. probabilistic approaches\u003c\/li\u003e\n\u003cli\u003eExplore common AIOps use cases\u003c\/li\u003e\n\u003cli\u003eAssess the organizational impact of AIOps adoption\u003c\/li\u003e\n\u003cli\u003eUnderstand emerging trends and future direction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Evaluating the Impact of AIOps\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eEvaluate AIOps impact using operational metrics\u003c\/li\u003e\n\u003cli\u003eAlign AIOps with DevOps and SRE practices\u003c\/li\u003e\n\u003cli\u003eImprove AI accuracy and system visibility\u003c\/li\u003e\n\u003cli\u003eMeasure outcomes using incident and DORA metrics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 8: Implementing AIOps in the Organization\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIdentify and mitigate common implementation challenges\u003c\/li\u003e\n\u003cli\u003eAddress ethics, bias, and governance in machine learning\u003c\/li\u003e\n\u003cli\u003ePlan for AIOps adoption and rollout\u003c\/li\u003e\n\u003cli\u003eEnsure data quality and process readiness\u003c\/li\u003e\n\u003cli\u003eAddress privacy, regulation, and compliance considerations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267B49US \/ 2026-07-06T09:00:00 \/ Online","offer_id":47534210220251,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true},{"title":"269A99US \/ 2026-09-28T09:00:00 \/ Herndon, VA","offer_id":47634346279131,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true},{"title":"268C94US \/ 2026-08-24T09:00:00 \/ Herndon, VA","offer_id":48216585535707,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true},{"title":"26BC18US \/ 2026-11-09T09:00:00 \/ Herndon, VA","offer_id":48216585568475,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true},{"title":"271C11US \/ 2027-01-04T09:00:00 \/ Herndon, VA","offer_id":48216585601243,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true},{"title":"273B63US \/ 2027-03-01T09:00:00 \/ Herndon, VA","offer_id":48309394309339,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true},{"title":"275B98US \/ 2027-05-03T09:00:00 \/ Herndon, VA","offer_id":48736215630043,"sku":"US-3697-IL","price":2195.0,"currency_code":"USD","in_stock":true}]},{"product_id":"get-started-with-microsoft-copilot-for-security-sc-5006","title":"Get Started with Microsoft Copilot for Security (SC-5006)","description":"\u003cdiv\u003e\u003cp\u003eLearn about Microsoft Copilot for Security, an AI-powered security analysis tool that enables analysts to process security signals and respond to threats at a machine speed, and the AI concepts upon which it's built.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGet Started with Microsoft Copilot for Security (SC-5006) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn to leverage Microsoft Copilot for Security to enhance security operations and incident response.\u003c\/li\u003e\n\u003cli\u003eUnderstand and integrate AI-powered tools into your security workflows.\u003c\/li\u003e\n\u003cli\u003eGain practical, hands-on experience through lab exercises and real-world use cases.\u003c\/li\u003e\n\u003cli\u003eLearn to implement AI responsibly to minimize risks and ensure ethical use.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWorking knowledge of security operations and incident response\u003c\/li\u003e\n\u003cli\u003eWorking knowledge of Microsoft security products and services\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMicrosoft Copilot Security Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Fundamental AI Concepts\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e Introduction to AI\u003c\/li\u003e\n\u003cli\u003e Machine Learning Basics\u003c\/li\u003e\n\u003cli\u003e Computer Vision Fundamentals\u003c\/li\u003e\n\u003cli\u003e Natural Language Processing Overview\u003c\/li\u003e\n\u003cli\u003e Document Intelligence and Knowledge Mining\u003c\/li\u003e\n\u003cli\u003e Generative AI Overview\u003c\/li\u003e\n\u003cli\u003e Challenges and Risks with AI\u003c\/li\u003e\n\u003cli\u003e Responsible AI Practices\u003c\/li\u003e\n\u003cli\u003e Knowledge Check and Summary\u003cb\u003e\u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e Module 2: Fundamentals of Generative AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e Introduction to Generative AI\u003c\/li\u003e\n\u003cli\u003e Understanding Language Models\u003c\/li\u003e\n\u003cli\u003e Applications of Language Models\u003c\/li\u003e\n\u003cli\u003e Introduction to Copilots\u003c\/li\u003e\n\u003cli\u003e Overview of Microsoft Copilot\u003c\/li\u003e\n\u003cli\u003e Creating Effective Copilot Prompts\u003c\/li\u003e\n\u003cli\u003e Extending and Developing Copilots\u003c\/li\u003e\n\u003cli\u003e Hands-on Exercise: Explore Microsoft Copilot\u003c\/li\u003e\n\u003cli\u003e Knowledge Check and Summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e Module 3: Responsible Generative AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e Planning a Responsible Generative AI Solution\u003c\/li\u003e\n\u003cli\u003e Identifying Potential Harms\u003c\/li\u003e\n\u003cli\u003e Measuring and Mitigating Potential Harms\u003c\/li\u003e\n\u003cli\u003e Operating a Responsible Generative AI Solution\u003c\/li\u003e\n\u003cli\u003e Hands-on Exercise: Explore Content Filters in Azure OpenAI\u003c\/li\u003e\n\u003cli\u003e Knowledge Check and Summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e Module 4: Introduction to Microsoft Copilot for Security\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e Overview of Microsoft Copilot for Security\u003c\/li\u003e\n\u003cli\u003e Terminology and Key Concepts\u003c\/li\u003e\n\u003cli\u003e Processing Prompt Requests\u003c\/li\u003e\n\u003cli\u003e Elements of an Effective Prompt\u003c\/li\u003e\n\u003cli\u003e Enabling Microsoft Copilot for Security\u003c\/li\u003e\n\u003cli\u003e Knowledge Check and Summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e Module 5: Core Features of Microsoft Copilot for Security\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e Standalone Experience Features\u003c\/li\u003e\n\u003cli\u003e Session Features in Standalone Experience\u003c\/li\u003e\n\u003cli\u003e Microsoft Plugins Overview\u003c\/li\u003e\n\u003cli\u003e Non-Microsoft Plugins Overview\u003c\/li\u003e\n\u003cli\u003e Custom Promptbooks\u003c\/li\u003e\n\u003cli\u003e Knowledge Base Connections\u003c\/li\u003e\n\u003cli\u003e Knowledge Check and Summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e Module 6: Embedded Experiences of Microsoft Copilot for Security\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e Introduction to Embedded Experiences\u003c\/li\u003e\n\u003cli\u003e Copilot in Microsoft Defender XDR\u003c\/li\u003e\n\u003cli\u003e Copilot in Microsoft Purview\u003c\/li\u003e\n\u003cli\u003e Copilot in Microsoft Entra\u003c\/li\u003e\n\u003cli\u003e Copilot in Microsoft Intune\u003c\/li\u003e\n\u003cli\u003e Copilot in Microsoft Defender for Cloud\u003c\/li\u003e\n\u003cli\u003e Knowledge Check and Summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003e Module 7: Use Cases and Hands-on Labs\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to Use Cases\u003c\/li\u003e\n\u003cli\u003eFirst Run Experience\u003c\/li\u003e\n\u003cli\u003eStandalone Experience\u003c\/li\u003e\n\u003cli\u003eConfiguring Microsoft Sentinel Plugin\u003c\/li\u003e\n\u003cli\u003eEnabling Custom Plugins\u003c\/li\u003e\n\u003cli\u003eFile Uploads as Knowledge Base\u003c\/li\u003e\n\u003cli\u003eCreating Custom Promptbooks\u003c\/li\u003e\n\u003cli\u003eCopilot in Microsoft Defender XDR\u003c\/li\u003e\n\u003cli\u003eCopilot in Microsoft Purview\u003c\/li\u003e\n\u003cli\u003eKnowledge Check and Summary\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267B17US \/ 2026-07-02T09:00:00 \/ Online","offer_id":47534167130331,"sku":"US-8721-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269A81US \/ 2026-09-28T09:00:00 \/ Online","offer_id":47634347458779,"sku":"US-8721-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C28US \/ 2027-01-12T09:00:00 \/ Online","offer_id":48216552898779,"sku":"US-8721-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"applied-ai-for-government-it-professionals","title":"Applied AI for Government IT Professionals","description":"\u003cdiv\u003e\n\u003cp\u003eGovernment agencies are increasingly exploring artificial intelligence to improve decision-making, automate processes, enhance citizen services, and gain deeper insights from data. This hands-on course equips government IT professionals with the knowledge and practical skills needed to evaluate, implement, govern, and operationalize AI solutions in public-sector environments.\u003c\/p\u003e\r\n\u003cp\u003eParticipants will explore core AI concepts including machine learning, natural language processing (NLP), computer vision, predictive analytics, and generative AI. Through real-world government scenarios and hands-on exercises, you'll learn how to identify AI opportunities, mitigate ethical and security risks, automate data preparation and reporting, and transition AI initiatives from pilot projects to production-ready solutions.\u003c\/p\u003e\r\n\u003cp\u003eYou'll also discover how generative AI can support government operations, improve information delivery, accelerate reporting, and enhance decision-making while maintaining transparency, accountability, and public trust.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eApplied AI for Government IT Professionals Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eBy attending this course, you will:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eBuild a practical understanding of artificial intelligence, machine learning, NLP, computer vision, and generative AI.\u003c\/li\u003e\n\u003cli\u003eIdentify government use cases where AI can improve efficiency, service delivery, and operational outcomes.\u003c\/li\u003e\n\u003cli\u003eUnderstand ethical, privacy, security, and governance considerations for AI deployments.\u003c\/li\u003e\n\u003cli\u003eLearn strategies for moving AI initiatives from proof-of-concept to production environments.\u003c\/li\u003e\n\u003cli\u003eUse AI to automate data collection, cleansing, analysis, and reporting processes.\u003c\/li\u003e\n\u003cli\u003eCreate interactive dashboards and reports using modern AI-powered analytics tools.\u003c\/li\u003e\n\u003cli\u003eApply generative AI techniques for summarization, content creation, translation, and insight generation.\u003c\/li\u003e\n\u003cli\u003eGain hands-on experience with AI tools, dashboards, and government-focused scenarios.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eParticipants should have:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eA basic understanding of information technology concepts\u003c\/li\u003e\n\u003cli\u003eFamiliarity with data analysis and reporting concepts\u003c\/li\u003e\n\u003cli\u003eGeneral knowledge of government operations or public-sector technology environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI for Government IT Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e1. Introduction to Artificial Intelligence\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAI fundamentals and key concepts\u003c\/li\u003e\n\u003cli\u003eMachine learning, NLP, and computer vision\u003c\/li\u003e\n\u003cli\u003eUnderstanding the AI ecosystem\u003c\/li\u003e\n\u003cli\u003eAI opportunities in government\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e2. Applications of AI Across Government\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003ePublic-sector AI use cases\u003c\/li\u003e\n\u003cli\u003ePredictive analytics and decision support\u003c\/li\u003e\n\u003cli\u003eCitizen services and operational efficiency\u003c\/li\u003e\n\u003cli\u003eReal-world government examples\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e3. Risks, Security Concerns, and Mitigation Strategies\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eEthical AI principles\u003c\/li\u003e\n\u003cli\u003ePrivacy and security considerations\u003c\/li\u003e\n\u003cli\u003eBias, transparency, and explainability\u003c\/li\u003e\n\u003cli\u003eAI governance frameworks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e4. AI Operations, Maintenance, and Oversight\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eManaging AI systems in production\u003c\/li\u003e\n\u003cli\u003eMonitoring model performance\u003c\/li\u003e\n\u003cli\u003eLifecycle management and governance\u003c\/li\u003e\n\u003cli\u003eOperational best practices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e5. Using AI for Data Collection, Cleansing, and Insights\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAutomating data preparation\u003c\/li\u003e\n\u003cli\u003eAI-assisted analytics\u003c\/li\u003e\n\u003cli\u003eGenerating actionable insights\u003c\/li\u003e\n\u003cli\u003eImproving data quality and consistency\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e6. Generative AI for Government\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGenerative AI fundamentals\u003c\/li\u003e\n\u003cli\u003eGovernment use cases\u003c\/li\u003e\n\u003cli\u003eContent creation and summarization\u003c\/li\u003e\n\u003cli\u003eResponsible AI practices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e7. Creating Interactive Reports and Dashboards\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDashboard design principles\u003c\/li\u003e\n\u003cli\u003eAI-powered reporting\u003c\/li\u003e\n\u003cli\u003eReal-time insights and anomaly detection\u003c\/li\u003e\n\u003cli\u003ePower BI, Tableau, and related tools\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e8. Course Summary and Next Steps\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eKey takeaways\u003c\/li\u003e\n\u003cli\u003eEmerging AI trends\u003c\/li\u003e\n\u003cli\u003ePlanning future AI initiatives\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eTarget Audience\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is designed for:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGovernment IT Professionals\u003c\/li\u003e\n\u003cli\u003eIT Managers and Technical Leads\u003c\/li\u003e\n\u003cli\u003eData Analysts and Data Engineers\u003c\/li\u003e\n\u003cli\u003eSolution Architects\u003c\/li\u003e\n\u003cli\u003eDigital Transformation Teams\u003c\/li\u003e\n\u003cli\u003eProgram and Project Managers supporting AI initiatives\u003c\/li\u003e\n\u003cli\u003eTechnology professionals responsible for evaluating, implementing, or governing AI solutions in government environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A36US \/ 2026-08-26T09:00:00 \/ Herndon, VA","offer_id":47534196719835,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"267D03US \/ 2026-07-08T09:00:00 \/ Online","offer_id":48216558076123,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269A70CN \/ 2026-09-23T09:00:00 \/ Ottawa","offer_id":48216558108891,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26AA80US \/ 2026-10-21T09:00:00 \/ Austin","offer_id":48216558141659,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA64US \/ 2026-11-23T09:00:00 \/ New York","offer_id":48216558174427,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271A07CN \/ 2027-01-20T09:00:00 \/ Ottawa","offer_id":48216558207195,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A46US \/ 2027-02-03T09:00:00 \/ Herndon, VA","offer_id":48216558239963,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273A60US \/ 2027-03-17T09:00:00 \/ Austin","offer_id":48377298321627,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274A51US \/ 2027-04-21T09:00:00 \/ New York","offer_id":48619711037659,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269D08US \/ 2026-09-09T09:00:00 \/ Online","offer_id":48837148213467,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269D09US \/ 2026-09-16T09:00:00 \/ Online","offer_id":48837148246235,"sku":"US-1258-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-insights-for-business-users-in-government","title":"AI Insights for Business Users in Government","description":"\u003cdiv\u003e\u003cp\u003eDiscover how artificial intelligence is transforming government operations. Learn the fundamentals of AI and generative AI, explore real-world government use cases, understand ethical and governance considerations, and identify practical opportunities to improve productivity, decision-making, and citizen services. No technical background required.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI Insights for Business Users in Government Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eBy attending this course, you will:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDevelop a practical understanding of artificial intelligence and generative AI concepts.\u003c\/li\u003e\n\u003cli\u003eIdentify opportunities to use AI to improve productivity and business outcomes.\u003c\/li\u003e\n\u003cli\u003eExplore government-specific AI use cases and success stories.\u003c\/li\u003e\n\u003cli\u003eUnderstand the benefits, limitations, and risks associated with AI technologies.\u003c\/li\u003e\n\u003cli\u003eLearn how AI can support communication, content creation, research, and decision-making.\u003c\/li\u003e\n\u003cli\u003eRecognize ethical, privacy, security, and governance considerations for responsible AI use.\u003c\/li\u003e\n\u003cli\u003eEvaluate AI initiatives and participate more effectively in AI-related projects and discussions.\u003c\/li\u003e\n\u003cli\u003eBuild a foundation for AI literacy and organizational readiness.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThere are no technical prerequisites for this course.\u003c\/p\u003e\n\u003cp\u003eParticipants should have:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eBasic familiarity with government business processes\u003c\/li\u003e\n\u003cli\u003eAn interest in understanding how AI can improve organizational effectiveness and service delivery\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eExam Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Insights for Business Users in Government Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e1. Introduction to Artificial Intelligence\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstanding AI and machine learning\u003c\/li\u003e\n\u003cli\u003eGenerative AI fundamentals\u003c\/li\u003e\n\u003cli\u003eCommon AI terminology and concepts\u003c\/li\u003e\n\u003cli\u003eAI trends impacting government organizations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e2. AI Applications in Government\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eEnhancing citizen services\u003c\/li\u003e\n\u003cli\u003eAutomating routine business processes\u003c\/li\u003e\n\u003cli\u003eSupporting policy analysis and decision-making\u003c\/li\u003e\n\u003cli\u003eImproving communication and information access\u003c\/li\u003e\n\u003cli\u003eReal-world government use cases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e3. Generative AI and Productivity\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eContent creation and summarization\u003c\/li\u003e\n\u003cli\u003eResearch and information gathering\u003c\/li\u003e\n\u003cli\u003eDrafting reports and communications\u003c\/li\u003e\n\u003cli\u003ePrompting best practices\u003c\/li\u003e\n\u003cli\u003eUnderstanding AI-generated outputs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e4. Responsible and Ethical AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTransparency and accountability\u003c\/li\u003e\n\u003cli\u003ePrivacy and security considerations\u003c\/li\u003e\n\u003cli\u003eBias and fairness in AI systems\u003c\/li\u003e\n\u003cli\u003eGovernment regulations and governance frameworks\u003c\/li\u003e\n\u003cli\u003eBuilding trust in AI solutions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e5. Preparing for an AI-Enabled Future\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAI readiness considerations\u003c\/li\u003e\n\u003cli\u003eWorkforce impacts and opportunities\u003c\/li\u003e\n\u003cli\u003eIdentifying high-value use cases\u003c\/li\u003e\n\u003cli\u003eSupporting organizational AI adoption\u003c\/li\u003e\n\u003cli\u003eNext steps for continued learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A11US \/ 2026-07-02T09:00:00 \/ Online","offer_id":47260367978715,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"267A21US \/ 2026-07-27T09:00:00 \/ Online","offer_id":47319994171611,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268A13US \/ 2026-08-25T09:00:00 \/ Online","offer_id":47488838697179,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269A30US \/ 2026-09-24T09:00:00 \/ Online","offer_id":47623838859483,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA28US \/ 2026-10-20T09:00:00 \/ Online","offer_id":48041969647835,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA20US \/ 2026-11-18T09:00:00 \/ Online","offer_id":48050283249883,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CA23US \/ 2026-12-16T09:00:00 \/ Online","offer_id":48057367691483,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A12US \/ 2027-01-12T09:00:00 \/ Online","offer_id":48121736986843,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A05US \/ 2027-02-10T09:00:00 \/ Online","offer_id":48236922110171,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A08US \/ 2027-03-08T09:00:00 \/ Online","offer_id":48329825648859,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A06US \/ 2027-04-07T09:00:00 \/ Online","offer_id":48570240467163,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A04US \/ 2027-05-05T09:00:00 \/ Online","offer_id":48741609275611,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"276A03US \/ 2027-06-03T09:00:00 \/ Online","offer_id":48833295745243,"sku":"US-4703-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"customizing-copilot-ai-assistants-for-use-in-your-organization-pl-7008","title":"Create Agents in Microsoft Copilot Studio (PL-7008)","description":"\u003cdiv\u003e\u003cp\u003eThis learning path teaches how to design, build, enhance, and publish custom agents using Microsoft Copilot Studio. Learners gain hands-on experience creating conversational agents that support business scenarios, automate tasks, integrate with other Microsoft services, and deliver intelligent, scalable user experiences—without requiring high-code development.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eCreate Agents in Microsoft Copilot Studio (PL-7008) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eGain practical skills to build powerful conversational agents with Microsoft Copilot Studio. This intermediate-level course focuses on designing and deploying custom solutions that address real-world business needs. You will move beyond basic concepts to master the creation of intelligent agents that automate complex workflows.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli value=\"1\"\u003eDevelop custom agents that support specific business scenarios without high-code requirements.\u003c\/li\u003e\n\u003cli value=\"2\"\u003eGain hands-on experience designing, testing, and publishing intelligent conversation paths.\u003c\/li\u003e\n\u003cli value=\"3\"\u003eIntegrate agents seamlessly with other Microsoft services, including Power Automate and Dataverse for Teams.\u003c\/li\u003e\n\u003cli value=\"4\"\u003eCreate scalable user experiences that automate routine tasks and improve productivity.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with Microsoft Copilot Studio\u003c\/li\u003e\n\u003cli\u003eBasic understanding of conversational AI concepts\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eExam Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eCreate Agents in Microsoft Copilot Studio (PL-7008) Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003e1. Get Started with Microsoft Copilot Studio\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCopilot Studio concepts and capabilities\u003c\/li\u003e\n\u003cli\u003eWorking with environments\u003c\/li\u003e\n\u003cli\u003eCreating agents and navigating the interface\u003c\/li\u003e\n\u003cli\u003eCreating and managing topics\u003c\/li\u003e\n\u003cli\u003eUsing generative AI to enhance productivity\u003c\/li\u003e\n\u003cli\u003eTesting, publishing, and analyzing agents\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on:\u003c\/b\u003e Create and publish an agent\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e2. Manage Topics in Microsoft Copilot Studio\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstanding topics and trigger phrases\u003c\/li\u003e\n\u003cli\u003eDesigning conversation paths\u003c\/li\u003e\n\u003cli\u003eBranching topics\u003c\/li\u003e\n\u003cli\u003eCreating topics from existing support content\u003c\/li\u003e\n\u003cli\u003eUsing system fallback topics\u003c\/li\u003e\n\u003cli\u003eManaging and maintaining topics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e3. Work with Entities and Variables\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUsing built-in and custom entities\u003c\/li\u003e\n\u003cli\u003eApplying entities in conversations\u003c\/li\u003e\n\u003cli\u003eCreating and managing variables\u003c\/li\u003e\n\u003cli\u003eReusing variables across topics\u003c\/li\u003e\n\u003cli\u003eDesigning intelligent conversation flows\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e4. Enhance Microsoft Copilot Studio Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAdding actions using Power Automate\u003c\/li\u003e\n\u003cli\u003eUsing agent actions\u003c\/li\u003e\n\u003cli\u003eTransferring conversations to Omnichannel for Customer Service\u003c\/li\u003e\n\u003cli\u003eTrigger types and event handling\u003c\/li\u003e\n\u003cli\u003eMonitoring and analyzing agent performance\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e5. Create an Agent with Copilot Studio and Dataverse for Teams\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCreating agents in Dataverse for Teams\u003c\/li\u003e\n\u003cli\u003eDesigning and modifying topics\u003c\/li\u003e\n\u003cli\u003eAdding inputs, variables, and conditions\u003c\/li\u003e\n\u003cli\u003eCalling actions to retrieve Dataverse data\u003c\/li\u003e\n\u003cli\u003ePublishing and sharing agents within Teams\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"268A84US \/ 2026-08-04T09:00:00 \/ Online","offer_id":47534219821275,"sku":"US-8728-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BC61US \/ 2026-11-09T09:00:00 \/ Online","offer_id":48216552931547,"sku":"US-8728-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272B71US \/ 2027-02-02T09:00:00 \/ Online","offer_id":48216552964315,"sku":"US-8728-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275C41US \/ 2027-05-06T09:00:00 \/ Online","offer_id":48745384935643,"sku":"US-8728-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-assisted-python-programming-boosting-productivity-with-intelligent-tools","title":"AI-Powered Programming in Python","description":"\u003cdiv\u003e\u003cp\u003eExplore how AI can revolutionize your Python programming workflow. This hands-on course introduces you to AI-powered tools and techniques for generating, debugging, and optimizing code. Learn to seamlessly integrate AI into your development process to boost productivity while maintaining quality. Topics include AI-assisted code, debugging, testing, documentation, and best practices to balance AI automation with human expertise. Unlock the potential of AI to elevate your coding skills and streamline software development tasks.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI-Powered Programming in Python Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn to leverage AI tools to generate, debug, and optimize Python code, saving time on routine tasks.\u003c\/li\u003e\n\u003cli\u003eUse AI to improve code readability, adhere to best practices, and identify errors with greater efficiency.\u003c\/li\u003e\n\u003cli\u003eSeamlessly integrate AI into your coding process, from development to testing and documentation.\u003c\/li\u003e\n\u003cli\u003eGain hands-on experience with AI coding tools, prompt engineering, and code review techniques tailored for Python.\u003c\/li\u003e\n\u003cli\u003eSimplify the process of generating accurate and professional documentation for complex projects.\u003c\/li\u003e\n\u003cli\u003eUnderstand the limitations and best practices of AI to ensure effective and ethical use in programming.\u003c\/li\u003e\n\u003cli\u003ePosition yourself as a forward-thinking developer by mastering the integration of AI in Python programming.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic Python Knowledge: Familiarity with Python programming, including variables, data types, loops, functions, and basic object-oriented concepts.\u003c\/li\u003e\n\u003cli\u003eProgramming Experience: Some experience writing and debugging Python code in an IDE.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eExam Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI-Powered Programming in Python Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eIntroduction to AI-Assisted Coding\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhat is AI?\u003c\/li\u003e\n\u003cli\u003eAI applications in software development:\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eCode\u003c\/li\u003e\n\u003cli\u003eDebugging\u003c\/li\u003e\n\u003cli\u003eTesting\u003c\/li\u003e\n\u003cli\u003eDocumentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSetting Up and Using AI Coding Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eInstalling and integrating tools with your IDE\u003c\/li\u003e\n\u003cli\u003eCode completion\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePrompt Engineering for Code \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCreating and refining effective prompts\u003c\/li\u003e\n\u003cli\u003ePrompting for basic code\u003c\/li\u003e\n\u003cli\u003eCreating classes, handling data structures, and building simple projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDebugging\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDebugging and error handling\u003c\/li\u003e\n\u003cli\u003eRefining and optimizing code\u003c\/li\u003e\n\u003cli\u003eImproving readability and adhering to best practices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCode Review and Testing\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplaining functions, methods, and modules\u003c\/li\u003e\n\u003cli\u003eGenerating and reviewing test cases\u003c\/li\u003e\n\u003cli\u003eDebugging and optimizing test cases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eGenerating Documentation with AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGenerating docstrings, comments, and external documentation files\u003c\/li\u003e\n\u003cli\u003eProducing accurate and clear documentation for complex functions or modules\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eBest Practices and Limitations of AI in Python Programming\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eBest practices for prompting and interacting with AI tools\u003c\/li\u003e\n\u003cli\u003eRecognizing and addressing limitations\u003c\/li\u003e\n\u003cli\u003eBalancing automation with human insight\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A12US \/ 2026-07-08T09:00:00 \/ Online","offer_id":47260368011483,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268A05US \/ 2026-08-04T09:00:00 \/ Online","offer_id":47384196120795,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268A15US \/ 2026-08-31T09:00:00 \/ Online","offer_id":47506676678875,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269C03US \/ 2026-09-29T09:00:00 \/ Online","offer_id":48039759544539,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA30US \/ 2026-10-27T09:00:00 \/ Online","offer_id":48041970467035,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA21US \/ 2026-11-25T09:00:00 \/ Online","offer_id":48050288296155,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CA20US \/ 2026-12-18T09:00:00 \/ Online","offer_id":48061744546011,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A08US \/ 2027-01-13T09:00:00 \/ Online","offer_id":48124689187035,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A08US \/ 2027-02-16T09:00:00 \/ Online","offer_id":48266085597403,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A10US \/ 2027-03-16T09:00:00 \/ Online","offer_id":48377298551003,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A07US \/ 2027-04-12T09:00:00 \/ Online","offer_id":48586415276251,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A06US \/ 2027-05-11T09:00:00 \/ Online","offer_id":48759287087323,"sku":"US-4535-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"the-istqb®-certified-tester-ai-testing-ct-ai","title":"The ISTQB® Certified Tester AI Testing (CT-AI)","description":"\u003cdiv\u003e\u003cp\u003eThe ISTQB® Certified Tester AI Testing (CT-AI) certification is a globally recognized credential designed for professionals involved in testing artificial intelligence (AI) systems. This certification provides foundational knowledge of AI concepts, technologies, and the specific challenges associated with testing AI-driven applications. This course covers fundamental AI concepts, testing methodologies for AI systems, unique challenges such as Perspective Awareness and explainability, key quality characteristics like performance and security, and introduces tools and techniques for effective AI system assessment.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eThe ISTQB® Certified Tester AI Testing (CT-AI) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand the current state and expected trends of AI\u003c\/li\u003e\n\u003cli\u003eExperience the implementation and testing of a ML model and recognize where testers can best influence its quality\u003c\/li\u003e\n\u003cli\u003eUnderstand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, Perspective Awareness, ethics, complexity, non-determinism, transparency and explainability\u003c\/li\u003e\n\u003cli\u003eContribute to the test strategy for an AI-Based system\u003c\/li\u003e\n\u003cli\u003eDesign and execute test cases for AI-based systems\u003c\/li\u003e\n\u003cli\u003eRecognize the special requirements for the test infrastructure to support the testing of AI-based systems\u003c\/li\u003e\n\u003cli\u003eUnderstand how AI can be used to support software testing\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eYes, the ISTQB Certified AI Tester certification typically requires candidates to have completed the ISTQB Certified Tester Foundation Level (CTFL) as a prerequisite. This ensures that candidates have a basic understanding of software testing principles before advancing to AI-specific testing concepts.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCertification Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUpon successfully passing the examination, participants will receive the ISTQB® Certified Tester AI Testing (CT-AI) certification, which is globally recognized and demonstrates expertise in AI testing.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eThe ISTQB® Certified Tester AI Testing (CT-AI) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule1: Introduction to AI \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e1.1 Definition of AI and AI Effect\u003c\/p\u003e\n\u003cp\u003e1.2 Narrow, General and Super AI\u003c\/p\u003e\n\u003cp\u003e1.3 AI-Based and Conventional Systems\u003c\/p\u003e\n\u003cp\u003e1.4 AI Technologies\u003c\/p\u003e\n\u003cp\u003e1.5 AI Development Frameworks\u003c\/p\u003e\n\u003cp\u003e1.6 Hardware for AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e1.7 AI as a Service (AIaaS)\u003c\/p\u003e\n\u003cp\u003e1.7.1 Contracts for AI as a Service\u003c\/p\u003e\n\u003cp\u003e1.7.2 AIaaS Examples\u003c\/p\u003e\n\u003cp\u003e1.8 Pre-Trained Models\u003c\/p\u003e\n\u003cp\u003e1.8.1 Introduction to Pre-Trained Models\u003c\/p\u003e\n\u003cp\u003e1.8.2 Transfer Learning\u003c\/p\u003e\n\u003cp\u003e1.8.3 Risks of using Pre-Trained Models and Transfer Learning\u003c\/p\u003e\n\u003cp\u003e1.9 Standards, Regulations and AI\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Quality Characteristics for AI-Based Systems \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e2.1 Flexibility and Adaptability\u003c\/p\u003e\n\u003cp\u003e2.2 Autonomy\u003c\/p\u003e\n\u003cp\u003e2.3 Evolution\u003c\/p\u003e\n\u003cp\u003e2.4 Perspective Awareness \u003c\/p\u003e\n\u003cp\u003e2.5 Ethics\u003c\/p\u003e\n\u003cp\u003e2.6 Side Effects and Reward Hacking\u003c\/p\u003e\n\u003cp\u003e2.7 Transparency, Interpretability and Explainability\u003c\/p\u003e\n\u003cp\u003e2.8 Safety and AI\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Machine Learning (ML) – Overview \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e3.1 Forms of ML\u003c\/p\u003e\n\u003cp\u003e3.1.1 Supervised Learning\u003c\/p\u003e\n\u003cp\u003e3.1.2 Unsupervised Learning\u003c\/p\u003e\n\u003cp\u003e3.1.3 Reinforcement Learning\u003c\/p\u003e\n\u003cp\u003e3.2 ML Workflow\u003c\/p\u003e\n\u003cp\u003e3.3 Selecting a Form of ML\u003c\/p\u003e\n\u003cp\u003e3.4 Factors Involved in ML Algorithm Selection\u003c\/p\u003e\n\u003cp\u003e3.5 Overfitting and Underfitting\u003c\/p\u003e\n\u003cp\u003e3.5.1 Overfitting\u003c\/p\u003e\n\u003cp\u003e3.5.2 Underfitting\u003c\/p\u003e\n\u003cp\u003e3.5.3 Hands-On Exercise: Demonstrate Overfitting and Underfitting\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 4: ML - Data \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e4.1 Data Preparation as Part of the ML Workflow\u003c\/p\u003e\n\u003cp\u003e4.1.1 Challenges in Data Preparation\u003c\/p\u003e\n\u003cp\u003e4.1.2 Hands-On Exercise: Data Preparation for ML, Validation and Test Datasets in the ML Workflow\u003c\/p\u003e\n\u003cp\u003e4.2.1 Hands-On Exercise: Identify Training and Test Data and Create an ML Model\u003c\/p\u003e\n\u003cp\u003e4.3 Dataset Quality Issues\u003c\/p\u003e\n\u003cp\u003e4.4 Data Quality and its Effect on the ML Model\u003c\/p\u003e\n\u003cp\u003e4.5 Data Labelling for Supervised Learning\u003c\/p\u003e\n\u003cp\u003e4.5.1 Approaches to Data Labelling\u003c\/p\u003e\n\u003cp\u003e4.5.2 Mislabeled Data in Datasets\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 5: ML Functional Performance Metrics \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e5.1 Confusion Matrix\u003c\/p\u003e\n\u003cp\u003e5.2 Additional ML Functional Performance Metrics for Classification, Regression and Clustering\u003c\/p\u003e\n\u003cp\u003e5.3 Limitations of ML Functional Performance Metrics\u003c\/p\u003e\n\u003cp\u003e5.4 Selecting ML Functional Performance Metrics\u003c\/p\u003e\n\u003cp\u003e5.4.1 Hands-On Exercise: Evaluate the Created ML Model\u003c\/p\u003e\n\u003cp\u003e5.5 Benchmark Suites for ML\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 6: ML - Neural Networks and Testing\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e6.1 Neural Networks\u003c\/p\u003e\n\u003cp\u003e6.1.1 Hands-On Exercise: Implement a Simple Perceptron\u003c\/p\u003e\n\u003cp\u003e6.2 Coverage Measures for Neural Networks\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Testing AI-Based Systems Overview \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e7.1 Specification of AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e7.2 Test Levels for AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e7.2.1 Input Data Testing\u003c\/p\u003e\n\u003cp\u003e7.2.2 ML Model Testing\u003c\/p\u003e\n\u003cp\u003e7.2.3 Component Testing\u003c\/p\u003e\n\u003cp\u003e7.2.4 Component Integration Testing\u003c\/p\u003e\n\u003cp\u003e7.2.5 System Testing\u003c\/p\u003e\n\u003cp\u003e7.2.6 Acceptance Testing\u003c\/p\u003e\n\u003cp\u003e7.3 Test Data for Testing AI-based Systems\u003c\/p\u003e\n\u003cp\u003e7.4 Testing for Automation Perspective Awareness in AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e7.5 Documenting an AI Component\u003c\/p\u003e\n\u003cp\u003e7.6 Testing for Concept Drift\u003c\/p\u003e\n\u003cp\u003e7.7 Selecting a Test Approach for an ML System\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 8: Testing AI-Specific Quality Characteristics \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e8.1 Challenges Testing Self-Learning Systems\u003c\/p\u003e\n\u003cp\u003e8.2 Testing Autonomous AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e8.3 Testing for Algorithmic, Sample and Inappropriate Perspective Awareness \u003c\/p\u003e\n\u003cp\u003e8.4 Challenges Testing Probabilistic and Non-Deterministic AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e8.5 Challenges Testing Complex AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e8.6 Testing the Transparency, Interpretability and Explainability of AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e8.6.1 Hands-On Exercise: Model Explainability\u003c\/p\u003e\n\u003cp\u003e8.7 Test Oracles for AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e8.8 Test Objectives and Acceptance Criteria\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 9:  Methods and Techniques for the Testing of AI-Based Systems \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e9.1 Adversarial Attacks and Data Poisoning\u003c\/p\u003e\n\u003cp\u003e9.1.1 Adversarial Attacks\u003c\/p\u003e\n\u003cp\u003e9.1.2 Data Poisoning\u003c\/p\u003e\n\u003cp\u003e9.2 Pairwise Testing\u003c\/p\u003e\n\u003cp\u003e9.2.1 Hands-On Exercise: Pairwise Testing....\u003c\/p\u003e\n\u003cp\u003e9.3 Back-to-Back Testing\u003c\/p\u003e\n\u003cp\u003e9.4 A\/B Testing\u003c\/p\u003e\n\u003cp\u003e9.5 Metamorphic Testing (MT)\u003c\/p\u003e\n\u003cp\u003e9.5.1 Hands-On Exercise: Metamorphic Testing\u003c\/p\u003e\n\u003cp\u003e9.6 Experience-Based Testing of AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e9.6.1 Hands-On Exercise: Exploratory Testing and Exploratory Data Analysis (EDA)\u003c\/p\u003e\n\u003cp\u003e 9.7 Selecting Test Techniques for AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 10: Test Environments for AI-Based Systems\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e10.1 Test Environments for AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e10.2 Virtual Test Environments for Testing AI-Based Systems\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 11: Using AI for Testing \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e11.1 AI Technologies for Testing\u003c\/p\u003e\n\u003cp\u003e11.1.1 Hands-On Exercise:The Use of AI in Testing\u003c\/p\u003e\n\u003cp\u003e11.2 Using AI to Analyze Reported Defects\u003c\/p\u003e\n\u003cp\u003e11.3 Using AI for Test Case Generation\u003c\/p\u003e\n\u003cp\u003e11.4 Using AI for the Optimization of Regression Test Suites\u003c\/p\u003e\n\u003cp\u003e11.5 Using AI for Defect Prediction\u003c\/p\u003e\n\u003cp\u003e11.5.1 Hands-On Exercise: Build a Defect Prediction System\u003c\/p\u003e\n\u003cp\u003e11.6 Using AI for Testing User Interfaces\u003c\/p\u003e\n\u003cp\u003e11.6.1 Using AI to Test Through the Graphical User Interface (GUI)\u003c\/p\u003e\n\u003cp\u003e11.6.2 Using AI to Test the GUI.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A82US \/ 2026-07-07T09:00:00 \/ Herndon, VA","offer_id":47534202716379,"sku":"US-1288-IL","price":2512.0,"currency_code":"USD","in_stock":true},{"title":"271B27US \/ 2027-01-12T09:00:00 \/ Herndon, VA","offer_id":48216561647835,"sku":"US-1288-IL","price":2512.0,"currency_code":"USD","in_stock":true}]},{"product_id":"prepare-security-and-compliance-to-support-microsoft-365-copilot-ms-4002","title":"Prepare security and compliance to support Microsoft 365 Copilot (MS-4002)","description":"\u003cdiv\u003e\u003cp\u003eThis course equips administrators with the tools and knowledge needed to prepare key security and compliance features for a successful Microsoft 365 Copilot implementation. \u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003ePrepare security and compliance to support Microsoft 365 Copilot (MS-4002) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eImplementing Microsoft 365 Copilot:\u003c\/b\u003e Learn how to prepare your environment, secure your data, assign licenses, and drive adoption of Copilot across your organization.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eManaging Secure User Access:\u003c\/b\u003e Discover best practices for implementing Conditional Access, multifactor authentication, password management, and other tools to safeguard access.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eManaging Permissions and Roles:\u003c\/b\u003e Explore role management and permissions within Microsoft 365, including best practices for administrative roles, role delegation, and privilege elevation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDeploying Microsoft 365 Apps:\u003c\/b\u003e Implement user-driven and centralized deployments of Microsoft 365 Apps, manage updates, and ensure security using Intune and the Apps admin center.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eImplementing Data Loss Prevention:\u003c\/b\u003e Protect sensitive data with Microsoft Purview by designing and implementing DLP policies, custom notifications, and policy tips.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eUsing Sensitivity Labels:\u003c\/b\u003e Plan, create, and publish sensitivity labels to enhance data classification and protection across SharePoint, OneDrive, and other services.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExtending Microsoft 365 Copilot:\u003c\/b\u003e Manage Copilot agents, create and monitor Microsoft Graph connectors, and optimize how content is displayed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic experience with Microsoft 365 services\u003c\/li\u003e\n\u003cli\u003eProficient understanding of general IT practices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMicrosoft 365 Copilot Security and Compliance Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003ePrepare Security and Compliance to Support Microsoft 365 Copilot\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eImplement Microsoft 365 Copilot\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGet ready for Microsoft 365 Copilot\u003c\/li\u003e\n\u003cli\u003eImplement SharePoint Advanced Management tools\u003c\/li\u003e\n\u003cli\u003ePrepare data for searches\u003c\/li\u003e\n\u003cli\u003eProtect data with Microsoft 365 security tools\u003c\/li\u003e\n\u003cli\u003eAssign Copilot licenses\u003c\/li\u003e\n\u003cli\u003eExtend Microsoft 365 Copilot\u003c\/li\u003e\n\u003cli\u003eDrive adoption across the organization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eManage Secure User Access in Microsoft 365\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExamine identity and access tools\u003c\/li\u003e\n\u003cli\u003eManage user passwords\u003c\/li\u003e\n\u003cli\u003eImplement Conditional Access policies\u003c\/li\u003e\n\u003cli\u003eEnable pass-through authentication\u003c\/li\u003e\n\u003cli\u003eImplement multifactor authentication\u003c\/li\u003e\n\u003cli\u003eExplore passwordless authentication options\u003c\/li\u003e\n\u003cli\u003eImplement Microsoft Entra Smart Lockout and security defaults\u003c\/li\u003e\n\u003cli\u003eInvestigate authentication issues using sign-in logs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eManage Permissions, Roles, and Role Groups in Microsoft 365\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplore the Microsoft 365 permission model\u003c\/li\u003e\n\u003cli\u003eManage roles and role groups\u003c\/li\u003e\n\u003cli\u003eAssign and delegate admin roles\u003c\/li\u003e\n\u003cli\u003eImplement administrative units in Microsoft Entra ID\u003c\/li\u003e\n\u003cli\u003eManage SharePoint permissions\u003c\/li\u003e\n\u003cli\u003eElevate privileges with Microsoft Entra Privileged Identity Management\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDeploy Microsoft 365 Apps for Enterprise\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplore app functionality\u003c\/li\u003e\n\u003cli\u003eDeploy using various methods (self-service, Configuration Manager, cloud, local source)\u003c\/li\u003e\n\u003cli\u003eManage app updates and security baselines\u003c\/li\u003e\n\u003cli\u003eUse the Microsoft 365 Apps admin center and Intune\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eImplement Microsoft Purview Data Loss Prevention (DLP)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePlan and implement DLP policies\u003c\/li\u003e\n\u003cli\u003eCreate custom DLP policies and configure notifications\u003c\/li\u003e\n\u003cli\u003eConfigure policy tips to enhance data protection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eImplement Sensitivity Labels\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePlan deployment strategy\u003c\/li\u003e\n\u003cli\u003eEnable labels for files in SharePoint and OneDrive\u003c\/li\u003e\n\u003cli\u003eCreate, configure, publish, and manage sensitivity labels\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eManage Microsoft 365 Copilot Extensibility\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eManage Copilot agents in integrated apps\u003c\/li\u003e\n\u003cli\u003eCreate and monitor Microsoft Graph connectors\u003c\/li\u003e\n\u003cli\u003eManage how content is displayed in Microsoft 365 Copilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267B37US \/ 2026-07-24T09:00:00 \/ Online","offer_id":47534203011291,"sku":"US-8731-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AC00US \/ 2026-10-23T09:00:00 \/ Online","offer_id":48216578556123,"sku":"US-8731-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C45US \/ 2027-01-21T09:00:00 \/ Online","offer_id":48216578588891,"sku":"US-8731-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274B94US \/ 2027-04-20T09:00:00 \/ Online","offer_id":48619727651035,"sku":"US-8731-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-for-software-engineers-concepts-and-techniques","title":"AI for Software Engineers: Concepts and Techniques","description":"\u003cdiv\u003e\u003cp\u003eThis three-day intensive course is designed to equip software engineers, project managers, and technical leads with the tools and insights needed to leverage artificial intelligence (AI) effectively. By focusing on AI concepts, practical implementations, and ethical considerations, participants will enhance their ability to integrate AI into modern software projects.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI for Software Engineers: Concepts and Techniques Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eFoundation\u003c\/b\u003e: Understand core AI concepts and their integration with software engineering.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePractical Tools\u003c\/b\u003e: Use AI tools for testing, debugging, and project management.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEthics\u003c\/b\u003e: Explore responsible and ethical AI practices.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-On\u003c\/b\u003e: Apply concepts through practical labs addressing real-world challenges\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProficiency in \u003cb\u003ePython\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eFamiliarity with \u003cb\u003eSDLC fundamentals\u003c\/b\u003e (version control, CI\/CD, agile methodology)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI for Software Engineers: Concepts \u0026amp; Techniques Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eDay 1: AI Foundations and Basic ML Concepts\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introduction to AI in Software Development\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eAI vs. Conventional Systems\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eNarrow, General, and Super AI\u003c\/li\u003e\n\u003cli\u003eAI hardware (GPUs, TPUs) and popular frameworks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eAI in the SDLC\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eBenefits (automation, predictive insights) and risks (maintenance, data quality)\u003c\/li\u003e\n\u003cli\u003eAI as a Service (AIaaS) and service contracts\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Quality Characteristics and Ethics in AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eKey Quality Factors\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eFlexibility, Adaptability, Autonomy\u003c\/li\u003e\n\u003cli\u003eTransparency \u0026amp; Explainability\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eEthical \u0026amp; Regulatory\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eBias, Reward Hacking, and compliance (e.g., GDPR)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eRisk Management\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eIdentifying and mitigating biases\u003c\/li\u003e\n\u003cli\u003eDocumentation of AI components\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Machine Learning Overview\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eML Types\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eSupervised, Unsupervised, Reinforcement Learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eML Workflow\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eData collection, preprocessing, model training, evaluation, deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eOverfitting \u0026amp; Underfitting\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eCauses, detection, and mitigation (e.g., regularization)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eLab 1: Overfitting \u0026amp; Underfitting (Titanic Dataset)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003e\u003cb\u003eScenario: Predict passenger survival on the Titanic.\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003eGoal: Demonstrate how model complexity influences performance.\u003c\/li\u003e\n\u003cli\u003eLab Steps:\u003c\/li\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eLoad and preprocess Titanic data.\u003c\/li\u003e\n\u003cli\u003eTrain multiple classifiers (e.g., logistic regression vs. random forest).\u003c\/li\u003e\n\u003cli\u003eObserve overfitting\/underfitting effects on validation accuracy.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eDay 2: Data Handling, Regression, and Prompt Engineering\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Data Preparation \u0026amp; Handling\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eData Quality\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eCleaning, handling missing values, outliers, categorical features\u003c\/li\u003e\n\u003cli\u003eTrain\/validation\/test splits\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eCommon Pitfalls\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eImbalanced classes, mislabeled data, domain knowledge gaps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eLab 2: Data Preparation (NYC Taxi Dataset)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eScenario: Forecast taxi fares in NYC (regression).\u003c\/li\u003e\n\u003cli\u003eGoal: Clean a real-world dataset and create meaningful features.\u003c\/li\u003e\n\u003cli\u003eLab Steps:\u003c\/li\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eLoad NYC Yellow Cab data (pickup\/dropoff times, distances).\u003c\/li\u003e\n\u003cli\u003eHandle missing data and detect outliers.\u003c\/li\u003e\n\u003cli\u003eEngineer features (e.g., time-of-day, trip distance).\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Model Evaluation Metrics\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eRegression Metrics\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eMSE, RMSE, MAE, R²\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eClassification Recap\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eAccuracy, precision, recall, F1-score, confusion matrix\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eChoosing the Right Metric\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eContextual needs (business value, safety-critical)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eLab 3: Regression Modeling (NYC Taxi Fares)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eScenario: Build and evaluate models to predict fare amounts.\u003c\/li\u003e\n\u003cli\u003eGoal: Compare linear regression vs. gradient boosting to measure error rates.\u003c\/li\u003e\n\u003cli\u003eLab Steps:\u003c\/li\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eTrain at least two regression models on NYC Taxi data.\u003c\/li\u003e\n\u003cli\u003eCompute MSE, RMSE, and MAE on the validation set.\u003c\/li\u003e\n\u003cli\u003eDiscuss feature importance and next steps.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Prompt Engineering for Generative AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003ePrompting Best Practices\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eRole-based prompting, zero-shot vs. few-shot, chain-of-thought reasoning\u003c\/li\u003e\n\u003cli\u003eStructuring prompts for clarity, constraints, and context\u003c\/li\u003e\n\u003cli\u003eIterative refinement (synonyms, repeated keywords, output format)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eLab 4: Designing a Sophisticated Prompt for Software Engineering\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eScenario: Generate detailed, actionable advice on software architecture, testing, or refactoring in a microservices environment.\u003c\/li\u003e\n\u003cli\u003eGoal: Apply advanced prompting techniques (role prompting, constraints, few-shot examples) to create a high-quality prompt that yields expert-level recommendations.\u003c\/li\u003e\n\u003cli\u003eLab Steps:\u003c\/li\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eDefine Context \u0026amp; Role (e.g., “You are a principal software architect…”).\u003c\/li\u003e\n\u003cli\u003eProvide Examples (show how you want the answer structured or styled).\u003c\/li\u003e\n\u003cli\u003eAdd Constraints (limit response length, include specific bullet points).\u003c\/li\u003e\n\u003cli\u003eIterate \u0026amp; Refine (test and adjust wording for clarity \u0026amp; precision).\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eDay 3: Neural Networks, Explainability, and Responsible AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Neural Networks Introduction\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eNN Basics\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003ePerceptrons, hidden layers, activation functions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eNN Use Cases\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eImages, text, speech; large-scale data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eTesting Neural Networks\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eSpecial considerations, coverage measures\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eLab 5: Neural Network Classification (MNIST)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eScenario: Classify handwritten digits from MNIST.\u003c\/li\u003e\n\u003cli\u003eGoal: Implement and train a feed-forward neural network.\u003c\/li\u003e\n\u003cli\u003eLab Steps:\u003c\/li\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eLoad MNIST images (28x28).\u003c\/li\u003e\n\u003cli\u003eBuild a simple network (e.g., feed-forward).\u003c\/li\u003e\n\u003cli\u003eEvaluate accuracy and discuss improvements (layers, dropout, etc.).\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eModule 8: Testing \u0026amp; Model Explainability\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLevels of Testing\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eInput data testing, model testing, system \u0026amp; acceptance testing\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eAdversarial Attacks \u0026amp; Data Poisoning\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eDefenses, monitoring strategies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eExplainability Methods\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eLIME, SHAP, local vs. global interpretation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eLab 6: Model Explainability (U.S. Housing with LIME)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eScenario: Stakeholders want insights into house pricing predictions.\u003c\/li\u003e\n\u003cli\u003eGoal: Use LIME to explain predictions of a regression model.\u003c\/li\u003e\n\u003cli\u003eLab Steps:\u003c\/li\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eTrain a regression model on a U.S. housing dataset (e.g., Ames Housing).\u003c\/li\u003e\n\u003cli\u003eApply LIME to interpret specific predictions.\u003c\/li\u003e\n\u003cli\u003eIdentify potential biases or anomalies in model behavior.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eModule 9: Responsible AI \u0026amp; Wrap-Up\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGovernance \u0026amp; Compliance\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003ePrivacy, fairness, disclaimers, accountability\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eFuture Trends\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eLarge Language Models (LLMs), multi-modal AI, MLOps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eKey Takeaways\u003c\/li\u003e\n\u003cul type=\"circle\"\u003e\n\u003cli\u003eData and model versioning, transparency, bias mitigation, robust QA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\n\u003cdiv align=\"center\"\u003e\u003chr align=\"center\" width=\"100%\" size=\"1\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eSummary of Labs\u003c\/b\u003e\u003c\/p\u003e\n\u003col type=\"1\" start=\"1\"\u003e\n\u003cli\u003eLab 1: Overfitting \u0026amp; Underfitting (Titanic)\u003c\/li\u003e\n\u003cli\u003eLab 2: Data Preparation (NYC Taxi)\u003c\/li\u003e\n\u003cli\u003eLab 3: Regression Modeling (NYC Taxi Fares)\u003c\/li\u003e\n\u003cli\u003eLab 4: Designing a Sophisticated Prompt for Software Engineering (GenAI)\u003c\/li\u003e\n\u003cli\u003eLab 5: Neural Network Classification (MNIST)\u003c\/li\u003e\n\u003cli\u003eLab 6: Model Explainability (U.S. Housing with LIME)\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A42US \/ 2026-08-05T09:00:00 \/ Herndon, VA","offer_id":47534221197531,"sku":"US-1851-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BB36US \/ 2026-11-04T09:00:00 \/ Herndon, VA","offer_id":48216565088475,"sku":"US-1851-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A89US \/ 2027-02-03T09:00:00 \/ Herndon, VA","offer_id":48216565121243,"sku":"US-1851-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275B23US \/ 2027-05-05T09:00:00 \/ Herndon, VA","offer_id":48741611667675,"sku":"US-1851-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"generative-ai-essentials-on-aws","title":"Generative AI Essentials on AWS","description":"\u003cdiv\u003e\u003cp\u003eIn this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGenerative AI Essentials on AWS Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUpon completing this course, students should be able to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSummarize generative AI concepts, methods, and strategies.\u003c\/li\u003e\n\u003cli\u003eDiscuss the appropriate use of generative AI and machine learning and their technologies.\u003c\/li\u003e\n\u003cli\u003eDescribe how to use generative AI responsibly and safely.\u003c\/li\u003e\n\u003cli\u003eRecognize the types of generative AI solutions with specific use cases.\u003c\/li\u003e\n\u003cli\u003eExplain implementation and project planning of generative AI to your organization.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eGenerative AI Essentials on AWS\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introducing Generative AI \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGenerative AI explained\u003c\/li\u003e\n\u003cli\u003eFoundation models\u003c\/li\u003e\n\u003cli\u003eAWS generative AI services\u003c\/li\u003e\n\u003cli\u003eDemo: Generative AI solution\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Exploring Generative AI Use Cases \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify suitable use cases\u003c\/li\u003e\n\u003cli\u003eGenerative AI applications and use cases\u003c\/li\u003e\n\u003cli\u003eExplore generative AI use case scenarios\u003c\/li\u003e\n\u003cli\u003eUse case for class\u003cb\u003e \u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Essentials of Prompt Engineering \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to prompt engineering\u003c\/li\u003e\n\u003cli\u003ePrompt design best practices\u003c\/li\u003e\n\u003cli\u003eAdvanced prompting strategies\u003c\/li\u003e\n\u003cli\u003eModel settings and parameters\u003c\/li\u003e\n\u003cli\u003eHands-on Lab: Optimizing Slogan Generation with Amazon Bedrock\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Responsible AI Principles and Considerations \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to responsible AI\u003c\/li\u003e\n\u003cli\u003eCore dimensions of responsible AI\u003c\/li\u003e\n\u003cli\u003eGenerative AI considerations\u003c\/li\u003e\n\u003cli\u003eHands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Security, Governance, and Compliance \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecurity overview\u003c\/li\u003e\n\u003cli\u003eAdverse prompts\u003c\/li\u003e\n\u003cli\u003eGenerative AI security services\u003c\/li\u003e\n\u003cli\u003eGovernance\u003c\/li\u003e\n\u003cli\u003eCompliance\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Implementing Generative AI Projects \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction – Generative AI application\u003c\/li\u003e\n\u003cli\u003eDefine a use case\u003c\/li\u003e\n\u003cli\u003eSelect a foundational model\u003c\/li\u003e\n\u003cli\u003eImprove performance\u003c\/li\u003e\n\u003cli\u003eEvaluate results\u003c\/li\u003e\n\u003cli\u003eDeploy the application\u003c\/li\u003e\n\u003cli\u003eDemo: Amazon Q Business\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Integrating Generative AI into the Development Lifecycle \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eHands-on Lab:\u003c\/li\u003e\n\u003cli\u003eCapstone – Creating a Project Plan with Generative AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"269A56US \/ 2026-09-08T09:00:00 \/ Online","offer_id":47570765349083,"sku":"US-1248-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CA49US \/ 2026-12-15T09:00:00 \/ Online","offer_id":48216579375323,"sku":"US-1248-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A50US \/ 2027-03-16T09:00:00 \/ Online","offer_id":48377303236827,"sku":"US-1248-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"artificial-intelligence-for-it-service-management-training","title":"Artificial Intelligence for IT Service Management Training","description":"\u003cdiv\u003e\u003cp\u003eLearn to enhance productivity by automating common IT Service Management (ITSM) tasks and leveraging AI for creating presentations, summarizing documents, and generating standards-compliant content. Gain insights into managing AI technology, platforms, threats, and risks. This 2-day course covers everything from the basics of AI to its strategic applications in ITSM, ensuring you are equipped to harness the full potential of AI in your organization.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eArtificial Intelligence for IT Service Management Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAfter-course coaching included\u003c\/li\u003e\n\u003cli\u003eImprove productivity by using AI to automate common ITSM tasks\u003c\/li\u003e\n\u003cli\u003eUse AI to assist in creating presentations, summarizing documents, etc.\u003c\/li\u003e\n\u003cli\u003eApply AI to create standards compliant content\u003c\/li\u003e\n\u003cli\u003eManage AI technology, platforms, threats, and risks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course assumes familiarity with ITIL, at the level of ITIL® 4 Foundation Training.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI for IT Service Management Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introduction to AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is AI?\u003c\/li\u003e\n\u003cli\u003eEvolution of AI\u003c\/li\u003e\n\u003cli\u003eApplications and Opportunities for GenAI (taxonomy)\u003c\/li\u003e\n\u003cli\u003eDemo\/Exercises - for your workplace; identify opportunities\u003c\/li\u003e\n\u003cli\u003eHow GenAI works – LLMs, Context Embedding, Image generation\u003c\/li\u003e\n\u003cli\u003eAI - Strengths, Weaknesses, Threats and Opportunities (“Hallucination”)\u003c\/li\u003e\n\u003cli\u003ePrebuilt vs custom\/tailored GenAI\u003c\/li\u003e\n\u003cli\u003ePros and cons of different AI platforms: Chat GPT, Gemini, Claud Sonnet; paid v free\u003c\/li\u003e\n\u003cli\u003eCase Study\/demo\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Using AI for ITSM Productivity\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA Taxonomy of Common ITSM Tasks\u003c\/li\u003e\n\u003cli\u003eAI for generic tasks\u003c\/li\u003e\n\u003cli\u003eAI for platform specific task\u003c\/li\u003e\n\u003cli\u003eAI for standards specific or compliant tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 3: AI for Operational Tasks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIncident Management\u003c\/li\u003e\n\u003cli\u003eService Request Management\u003c\/li\u003e\n\u003cli\u003eTeam Coordination\u003c\/li\u003e\n\u003cli\u003eDocumentation\u003c\/li\u003e\n\u003cli\u003eSecurity monitoring\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 4: AI for Strategic and Managerial tasks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eService Level Agreement (SLA) Management:\u003c\/b\u003e\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003eMonitoring and ensuring compliance with SLAs.  \u003c\/li\u003e\n\u003cli\u003eReporting on SLA performance to stakeholders.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eChange Management:\u003c\/b\u003e\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003ePlanning and coordinating IT changes to minimize disruptions.  \u003c\/li\u003e\n\u003cli\u003eEnsuring changes are implemented smoothly and effectively.  \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStakeholder Communication:\u003c\/b\u003e\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003eCommunicating with users and other stakeholders about IT issues and service updates.  \u003c\/li\u003e\n\u003cli\u003eGathering feedback to improve IT services.  \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor Management:\u003c\/b\u003e\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003eManaging relationships with IT vendors and service providers.  \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReporting:\u003c\/b\u003e\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003eCreating reports on IT service performance for senior management.  \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePlanning:\u003c\/b\u003e\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003ePlanning for future IT needs.  \u003c\/li\u003e\n\u003cli\u003eBudget management.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eRisk Management and Assessment\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Deploying GenAI in your organization\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eManaging costs and risks AI\u003c\/li\u003e\n\u003cli\u003eAI security and leakage (of proprietary or confidential information)\u003c\/li\u003e\n\u003cli\u003eChoosing an AI platform\u003c\/li\u003e\n\u003cli\u003eMaintaining records of AI usage, and citing AI\u003c\/li\u003e\n\u003cli\u003eExercise: planning an AI pilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Future of GenAI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRapid evolution\u003c\/li\u003e\n\u003cli\u003eEmerging trends – multi-cloud, avoiding “lock-in”, avoiding “custom code”\u003c\/li\u003e\n\u003cli\u003eIntegration of GenAI with Data Warehouses\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A72US \/ 2026-08-31T09:00:00 \/ Herndon, VA","offer_id":47534201503963,"sku":"US-1299-IL","price":1640.0,"currency_code":"USD","in_stock":true},{"title":"267D28US \/ 2026-07-22T09:00:00 \/ Herndon, VA","offer_id":48216579408091,"sku":"US-1299-IL","price":1640.0,"currency_code":"USD","in_stock":true},{"title":"26BB46US \/ 2026-11-09T09:00:00 \/ Herndon, VA","offer_id":48216579440859,"sku":"US-1299-IL","price":1640.0,"currency_code":"USD","in_stock":true},{"title":"271B39US \/ 2027-01-25T09:00:00 \/ Herndon, VA","offer_id":48216579473627,"sku":"US-1299-IL","price":1640.0,"currency_code":"USD","in_stock":true},{"title":"274B09US \/ 2027-04-01T09:00:00 \/ Herndon, VA","offer_id":48531740590299,"sku":"US-1299-IL","price":1640.0,"currency_code":"USD","in_stock":true},{"title":"276B25US \/ 2027-06-01T09:00:00 \/ Herndon, VA","offer_id":48823753507035,"sku":"US-1299-IL","price":1640.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-powered-secops-with-siem-and-soar","title":"AI Powered SecOps with SIEM and SOAR","description":"\u003cdiv\u003e\n\u003cp\u003eThis course explores the intersection of AI and cybersecurity, starting with a foundational understanding of AI technologies such as machine learning, deep learning, and natural language processing, as well as their applications in various industries. The content delves into mitigating risks associated with AI adoption, including risk management and ethical considerations, and identifying vulnerabilities in AI systems.\u003c\/p\u003e\r\n\u003cp\u003eThe importance of integrating AI into security operations is covered through the use of AI for intrusion detection, threat intelligence, and automated incident response, as well as AI’s potential for transforming hacking techniques while highlighting AI-powered attacks and tools.  The Course also emphasizes the need for aligning AI with common security frameworks and regulatory compliance, as well as exploring future trends such as federated learning, AI-powered cyber deception, quantum computing for AI, explainable AI, and AI-driven security automation.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI Powered SecOps with SIEM and SOAR Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAttendees should have foundational knowledge in networking and cybersecurity.\u003c\/p\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Powered SecOps with SIEM \u0026amp; SOAR Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eChapter 1: Modernizing threat management\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConstantly evolving landscape of cybersecurity\u003c\/li\u003e\n\u003cli\u003eIdentify technology challenges to stay ahead of emerging threats\u003c\/li\u003e\n\u003cli\u003eUncover people and process challenges and explore strategies for improvement\u003c\/li\u003e\n\u003cli\u003eTransform threat management with autonomic security\u003c\/li\u003e\n\u003cli\u003eAI based SecOps Tools: Google Chronicle, Microsoft Sentinel, Splunk\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 2: Basics of AI and Security Operations\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSOC Core Functions\u003c\/li\u003e\n\u003cli\u003eChallenges of Traditional SecOps\u003c\/li\u003e\n\u003cli\u003eEmbrace Autonomic Security Operations\u003c\/li\u003e\n\u003cli\u003eContinuous detection continuous response, CDCR\u003c\/li\u003e\n\u003cli\u003eManagement and ticketing systems for incident tracking\u003c\/li\u003e\n\u003cli\u003eTrack and measure team performance\u003c\/li\u003e\n\u003cli\u003eEnhancing SecOps with AI \u0026amp; ML\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 3:  Collection\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGather host and network data\u003c\/li\u003e\n\u003cli\u003eIdentify data sources and information needs\u003c\/li\u003e\n\u003cli\u003eConfigure logging and data sources\u003c\/li\u003e\n\u003cli\u003eIngest and normalize data\u003c\/li\u003e\n\u003cli\u003eImplement data quality checks and validation\u003c\/li\u003e\n\u003cli\u003eImplement data retention policies\u003c\/li\u003e\n\u003cli\u003ePrioritize your crown jewel assets\u003c\/li\u003e\n\u003cli\u003eAI enhanced collection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 4: Threat Detection\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify patterns of suspicious activity and detect potential security incidents\u003c\/li\u003e\n\u003cli\u003eLeverage SIEM tools to correlate and analyze security events\u003c\/li\u003e\n\u003cli\u003eUtilize threat intelligence feeds to enrich data\u003c\/li\u003e\n\u003cli\u003eIdentify indicators of compromise (IOCs)\u003c\/li\u003e\n\u003cli\u003eTactics, techniques, and procedures (or TTPs)\u003c\/li\u003e\n\u003cli\u003eAI enhanced detection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 5: Triage\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConduct initial investigation on security alerts to identify actual threats\u003c\/li\u003e\n\u003cli\u003ePrioritize security alerts\u003c\/li\u003e\n\u003cli\u003ePerform initial investigation on identified alerts\u003c\/li\u003e\n\u003cli\u003eDisregard false positives or low priority alerts\u003c\/li\u003e\n\u003cli\u003eEnrich investigation cases with additional data\u003c\/li\u003e\n\u003cli\u003eEscalate to senior investigators or incident response team\u003c\/li\u003e\n\u003cli\u003eAI enhanced triage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 6: Investigation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDeeper analysis of alerts by Tier 2 analysts\u003c\/li\u003e\n\u003cli\u003eVerify whether the alert is a true or false positive\u003c\/li\u003e\n\u003cli\u003eAdvanced analysis of available data and IOCs\u003c\/li\u003e\n\u003cli\u003eGather additional information by pivoting to other data sources\u003c\/li\u003e\n\u003cli\u003eDetermine the duration of the investigation\u003c\/li\u003e\n\u003cli\u003eAddress false positives for proactive threat management\u003c\/li\u003e\n\u003cli\u003eCollaborate with other teams, document, and share knowledge\u003c\/li\u003e\n\u003cli\u003eAI enhanced investigation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 7: Incident Response\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eContain, eradicate, and recover from a security incident\u003c\/li\u003e\n\u003cli\u003eIdentify the root cause, implement necessary controls, and remediate\u003c\/li\u003e\n\u003cli\u003eMinimize impact and restore operations\u003c\/li\u003e\n\u003cli\u003eConduct a post-incident review\u003c\/li\u003e\n\u003cli\u003eCollaborate with adjacent teams and stakeholders\u003c\/li\u003e\n\u003cli\u003eAI enhanced Incident Response\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 8: Shift left adjacencies\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProactive Detection and Response\u003c\/li\u003e\n\u003cli\u003eThreat Intelligence\u003c\/li\u003e\n\u003cli\u003eThreat Hunting\u003c\/li\u003e\n\u003cli\u003eRed Teaming\/Pen Testing\u003c\/li\u003e\n\u003cli\u003eVulnerability Management\u003c\/li\u003e\n\u003cli\u003eUpstream Influence\u003c\/li\u003e\n\u003cli\u003eTabletop Exercises\u003c\/li\u003e\n\u003cli\u003eCompliance\u003c\/li\u003e\n\u003cli\u003eCollaboration with Developers\u003c\/li\u003e\n\u003cli\u003eBlameless Post-Mortems\u003c\/li\u003e\n\u003cli\u003eThreat Modeling\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A84US \/ 2026-07-29T09:00:00 \/ Herndon, VA","offer_id":47534214447323,"sku":"US-2015-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26AB38US \/ 2026-10-28T09:00:00 \/ Herndon, VA","offer_id":48216565154011,"sku":"US-2015-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271B57US \/ 2027-01-27T09:00:00 \/ Herndon, VA","offer_id":48216565186779,"sku":"US-2015-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274B24US \/ 2027-04-28T09:00:00 \/ Herndon, VA","offer_id":48696364761307,"sku":"US-2015-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"getting-the-most-from-your-spreadsheets-with-genai","title":"Getting the Most from your Spreadsheets with GenAI","description":"\u003cdiv\u003e\n\u003cp\u003eIn this course, you will use generative AI to assist you as you work with spreadsheets. Artificial intelligence (AI) has rapidly become a phenomenon; a much-talked-about technological sea change. It's also a major disruptive force in the world of business. Generative AI tools can provide value in many ways, one of which is by assisting people who work with data stored in spreadsheets.\u003c\/p\u003e\r\n\u003cp\u003eNo matter what spreadsheet software you use, what the data is about, or how it's structured, you can use freely available generative AI tools to enhance your productivity and help you find solutions to problems that can guide crucial business decisions. And you can do all of this without having to pay for expensive AI integration into your spreadsheet software. You just need to know what generative AI can do for you, what free tools to leverage, and the right questions to ask to get the most from your spreadsheets.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGetting the Most from your Spreadsheets with GenAI Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eSelect and use generative AI tools to generate spreadsheet content.\u003c\/li\u003e\n\u003cli\u003eUse generative AI to enhance your productivity while working in spreadsheets.\u003c\/li\u003e\n\u003cli\u003eUse generative AI to solve spreadsheet-related problems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTo ensure your success in this course, you should be able to perform basic data-driven tasks using spreadsheet software. You should be familiar with spreadsheet concepts like functions, conditional formatting, charts, and PivotTables.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eSpreadsheets with GenAI Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eUsing AI to Generate Spreadsheet Content\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGenerate Spreadsheet Content\u003c\/li\u003e\n\u003cli\u003eUsing the Right GenAI Tool for the Job \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eEnhancing Your Spreadsheet Productivity with GenAI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAsk GenAI for Basic Help\u003c\/li\u003e\n\u003cli\u003eAsk GenAI for Help Performing Specific Tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eSolving Problems Using GenAI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify Problem-Solving Limitations of GenAI\u003c\/li\u003e\n\u003cli\u003eSolve Problems Strategically Using GenAI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A46US \/ 2026-08-11T09:00:00 \/ Online","offer_id":47534221754587,"sku":"US-1925-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BB53US \/ 2026-11-10T09:00:00 \/ Online","offer_id":48216579637467,"sku":"US-1925-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A98US \/ 2027-02-09T09:00:00 \/ Online","offer_id":48233013117147,"sku":"US-1925-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275B43US \/ 2027-05-10T09:00:00 \/ Online","offer_id":48758112485595,"sku":"US-1925-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"developing-and-deploying-ai-applications","title":"Developing and Deploying AI Applications","description":"\u003cdiv\u003e\n\u003cp\u003eIn this hands-on Developing and Deploying AI Enabled Applications course we will explain how AI and AI Agents can be integrated into applications across a wide spectrum of AI use cases and scenarios including natural language processing, vision, and speech recognition. \u003c\/p\u003e\r\n\u003cp\u003eYou will build AI enabled applications and Agents for applications such as chatbots that access your organizational data and greatly improve customer experience and organizational productivity.  You will explore issues such as security and privacy, choosing AI platforms, and maintenance and operations.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eDeveloping and Deploying AI Applications Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDevelop and Deploy AI applications and agents tailored to your organization.\u003c\/li\u003e\n\u003cli\u003eIntegrate in-house data in real-time with AI applications.\u003c\/li\u003e\n\u003cli\u003eSecure AI applications using Security and Responsible AI by Design.\u003c\/li\u003e\n\u003cli\u003eMaintain AI applications – performance, security, and cost\/benefit.\u003c\/li\u003e\n\u003cli\u003eManage AI technology, platforms, threats, and risks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eExposure to AI at the level of Course 4700, Introduction to Artificial Intelligence (AI).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDeveloping AI Applications Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 1: Exploring the AI Applications and Agents Landscape\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI for text (NLP), speech and vision; and multi-modal\u003c\/li\u003e\n\u003cli\u003eCurrent API Platforms and Tools\u003c\/li\u003e\n\u003cli\u003eApplications and Opportunities for AI – from pretrained to custom\u003c\/li\u003e\n\u003cli\u003eIn-house AI vs Cloud and Edge AI\u003c\/li\u003e\n\u003cli\u003eDemo\/Exercises  - for your workplace; identify opportunities\u003c\/li\u003e\n\u003cli\u003eHow AI works – LLMs, Context Embedding, Image generation; limitations, training sets\u003c\/li\u003e\n\u003cli\u003eGenAI - Strengths, Weaknesses, Threats and Opportunities (“Hallucination”)\u003c\/li\u003e\n\u003cli\u003eCase Study\/demo – PamperedPets\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 2: Pretrained AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhy pretrained AI\u003c\/li\u003e\n\u003cli\u003eSpectrums of solutions and products: NLP (text), vision, and speech recognition\u003c\/li\u003e\n\u003cli\u003eIntegration with applications\u003c\/li\u003e\n\u003cli\u003eExercise\/demo: “off the shelf” – upload an image of your government id or documents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 3: Integrating AI libraries and Frameworks\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe landscape of AI Libraries and Frameworks\u003c\/li\u003e\n\u003cli\u003eUse cases and libraries for vision, speech and text\u003c\/li\u003e\n\u003cli\u003eAccessing corporate data sources\u003c\/li\u003e\n\u003cli\u003eExercise\/Demo: Prompt Engineering\u003c\/li\u003e\n\u003cli\u003eIncorporating organizational data – backend databases, chat histories, unstructured data\u003c\/li\u003e\n\u003cli\u003eExercise: building a chatbot that accesses organizational data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 4: Deploying GenAI in your organization\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eManaging costs and risks of GenAI\u003c\/li\u003e\n\u003cli\u003eMonitoring\u003c\/li\u003e\n\u003cli\u003eManaging security\u003c\/li\u003e\n\u003cli\u003eChoosing a GenAI platform\u003c\/li\u003e\n\u003cli\u003eExercise: deploying a chatbot\u003c\/li\u003e\n\u003cli\u003eWhen to use GenAI vs ML\/Classification\u003c\/li\u003e\n\u003cli\u003eExercise: planning a GenAI pilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eChapter 5: Future of GenAI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRapid evolution\u003c\/li\u003e\n\u003cli\u003eEmerging trends – multi-cloud, avoiding “lockin”, avoiding “custom code”\u003c\/li\u003e\n\u003cli\u003eIntegration of GenAI with Data Warehouses\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268B28US \/ 2026-08-12T09:00:00 \/ Herndon, VA","offer_id":47534221689051,"sku":"US-2328-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA42US \/ 2026-11-18T09:00:00 \/ Herndon, VA","offer_id":48216556404955,"sku":"US-2328-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A31US \/ 2027-02-10T09:00:00 \/ Herndon, VA","offer_id":48236924993755,"sku":"US-2328-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A37US \/ 2027-05-12T09:00:00 \/ Herndon, VA","offer_id":48762868596955,"sku":"US-2328-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"isaca-advanced-in-ai-audit-aaia-certification","title":"ISACA Advanced in AI Audit (AAIA) Certification","description":"\u003cdiv\u003e\u003cp\u003eThis two-day, instructor-led course provides IS auditors with the foundational knowledge and background of AI solutions to evaluate their proper governance, design, development, and security to apply their expertise in audit and assurance activities in the enterprise. The course is structured to align with the job practice and features a variety of knowledge check questions, case studies, activities, and discussions designed to apply the concepts to real-life business scenarios.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eISACA Advanced in AI Audit (AAIA) Certification Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplain the principles of AI Governance and Risk Management\u003c\/li\u003e\n\u003cli\u003eImplement effective AI Operations practices\u003c\/li\u003e\n\u003cli\u003eUtilize AI Auditing Tools and Techniques\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIT Audit professionals with a CISA, CIA, or CPA certification looking to enhance their expertise in navigating AI-driven challenges while upholding the highest industry standards.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eISACA AI Audit Certification Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eDomain 1. AI Governance and Risk\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLearning Objectives:\u003c\/p\u003e\n\u003cp\u003eWithin this domain, the AI auditor should be able to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEvaluate impacts, opportunities, and risk when integrating AI solutions within the audit process.\u003c\/li\u003e\n\u003cli\u003eEvaluate AI solutions to advise on impact, opportunities, and risk to organization.\u003c\/li\u003e\n\u003cli\u003eEvaluate the impact of AI solutions on system interactions, environment, and humans.\u003c\/li\u003e\n\u003cli\u003eEvaluate the role and impact of AI decision-making systems on the organization and stakeholders.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s AI policies and procedures, including compliance with legal and regulatory requirements.\u003c\/li\u003e\n\u003cli\u003eEvaluate the monitoring and reporting of metrics (e.g., KPIs, KRIs) specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate whether the organization has defined ownership of AI-related risk, controls, procedures, decisions, and standards.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s data governance program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s privacy program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s problem and incident management programs specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s change management program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s configuration management program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s threat and vulnerability management programs specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s identity and access management program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate vendors and supply chain management program specific to AI solutions.\u003c\/li\u003e\n\u003cli\u003eEvaluate the design and effectiveness of controls specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate data inputs requirements for AI models (e.g., data appropriateness, bias, and privacy).\u003c\/li\u003e\n\u003cli\u003eEvaluate system\/business requirements for AI solutions to ensure alignment with enterprise architecture.\u003c\/li\u003e\n\u003cli\u003eEvaluate AI solution life cycle (e.g., design, development, deployment, monitoring, and decommissioning) and inputs\/outputs for compliance and risk.\u003c\/li\u003e\n\u003cli\u003eEvaluate algorithms and models to ensure AI solutions are aligned to business objectives, policies, and procedures.\u003c\/li\u003e\n\u003cli\u003eAnalyze the impact of AI on the workforce to advise stakeholders on how to address AI-related workforce impacts, training, and education.\u003c\/li\u003e\n\u003cli\u003eEvaluate that awareness programs align to the organization’s AI-related policies and procedures.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection A. AI Models, Considerations, and Requirements\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Types of AI\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGenerative\u003c\/li\u003e\n\u003cli\u003ePredictive\u003c\/li\u003e\n\u003cli\u003eNarrow\u003c\/li\u003e\n\u003cli\u003eGeneral\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Machine learning\/AI Models\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic models\u003c\/li\u003e\n\u003cli\u003eNeural networks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. Algorithms\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eClasses of Algorithms\u003c\/li\u003e\n\u003cli\u003eAdditional AI Considerations (technical terms and concepts relevant to the IS auditor)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e4. AI Lifecycle Overview\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePlan and Design\u003c\/li\u003e\n\u003cli\u003eCollect and Process Data\u003c\/li\u003e\n\u003cli\u003eBuild and\/or Adapt Model(s)\u003c\/li\u003e\n\u003cli\u003eTest, Evaluate, Verify, and Validate\u003c\/li\u003e\n\u003cli\u003eMake Available for Use\/Deploy\u003c\/li\u003e\n\u003cli\u003eOperate and Monitor\u003c\/li\u003e\n\u003cli\u003eRetire\/Decommission\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e5. Business Considerations\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBusiness Use Cases, Needs, Scope, and Objectives\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eCost-Benefit Analysis\u003c\/li\u003e\n\u003cli\u003eReturn on Investment\u003c\/li\u003e\n\u003cli\u003eInternal vs. Cloud Hosting\u003c\/li\u003e\n\u003cli\u003eVendors\u003c\/li\u003e\n\u003cli\u003eShared Responsibility\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection B. AI Governance and Program Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. AI Strategy\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eStrategies\u003c\/li\u003e\n\u003cli\u003eOpportunities\u003c\/li\u003e\n\u003cli\u003eVision and Mission\u003c\/li\u003e\n\u003cli\u003eValue Alignment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. AI-related Roles and Responsibilities\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCategories, Focuses, and Common Examples\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. AI-related Policies and Procedures\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsage Policies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e4. AI Training and Awareness\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSkills, Knowledge, and Competencies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e5. Program metrics\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExamples of Metrics with Objectives and Definitions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection C. AI Risk Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. AI-related Risk Identification\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI Threat Landscape\u003c\/li\u003e\n\u003cli\u003eAI Risks\u003c\/li\u003e\n\u003cli\u003eChallenges for AI Risk Management\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Risk Assessment\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRisk Assessment\u003c\/li\u003e\n\u003cli\u003eRisk Appetite and Tolerance\u003c\/li\u003e\n\u003cli\u003eRisk Mitigation and Prioritization\u003c\/li\u003e\n\u003cli\u003eRemediation Plans\/Best Practices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. Risk Monitoring\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eContinuous Improvement\u003c\/li\u003e\n\u003cli\u003eRisk and Performance Metrics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection D. Privacy and Data Governance Programs\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Data Governance\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Classification\u003c\/li\u003e\n\u003cli\u003eData Clustering\u003c\/li\u003e\n\u003cli\u003eData Licensing\u003c\/li\u003e\n\u003cli\u003eData Cleansing and Retention\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Privacy Considerations\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Privacy\u003c\/li\u003e\n\u003cli\u003eData Ownership (Governance and Privacy)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. Privacy Regulatory Considerations\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Consent\u003c\/li\u003e\n\u003cli\u003eCollection, Use, and Disclosure\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection E. Leading Practices, Ethics, Regulations, and Standards for AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Standards, Frameworks, and Regulations Related to AI\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBest Practices\u003c\/li\u003e\n\u003cli\u003eIndustry Standards and Frameworks\u003c\/li\u003e\n\u003cli\u003eLaws and Regulations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Ethical Considerations\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEthical Use\u003c\/li\u003e\n\u003cli\u003eBias and Fairness\u003c\/li\u003e\n\u003cli\u003eTransparency and Explainability\u003c\/li\u003e\n\u003cli\u003eTrust and Safety\u003c\/li\u003e\n\u003cli\u003eIP Considerations\u003c\/li\u003e\n\u003cli\u003eHuman Rights\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDomain 2. AI Operations\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLearning Objectives:\u003c\/p\u003e\n\u003cp\u003eWithin this domain, the AI auditor should be able to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEvaluate impacts, opportunities, and risk when integrating AI solutions within the audit process.\u003c\/li\u003e\n\u003cli\u003eEvaluate AI solutions to advise on impact, opportunities, and risk to organization.\u003c\/li\u003e\n\u003cli\u003eEvaluate the impact of AI solutions on system interactions, environment, and humans.\u003c\/li\u003e\n\u003cli\u003eEvaluate the role and impact of AI decision-making systems on the organization and stakeholders.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s AI policies and procedures, including compliance with legal and regulatory requirements.\u003c\/li\u003e\n\u003cli\u003eEvaluate the monitoring and reporting of metrics (e.g., KPIs, KRIs) specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate whether the organization has defined ownership of AI-related risk, controls, procedures, decisions, and standards.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s data governance program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s privacy program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s problem and incident management programs specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s change management program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s configuration management program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s threat and vulnerability management programs specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate the organization’s identity and access management program specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate vendors and supply chain management program specific to AI solutions.\u003c\/li\u003e\n\u003cli\u003eEvaluate the design and effectiveness of controls specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate data inputs requirements for AI models (e.g., data appropriateness, bias, and privacy).\u003c\/li\u003e\n\u003cli\u003eEvaluate system\/business requirements for AI solutions to ensure alignment with enterprise architecture.\u003c\/li\u003e\n\u003cli\u003eEvaluate AI solution life cycle (e.g., design, development, deployment, monitoring, and decommissioning) and inputs\/outputs for compliance and risk.\u003c\/li\u003e\n\u003cli\u003eEvaluate algorithms and models to ensure AI solutions are aligned to business objectives, policies, and procedures.\u003c\/li\u003e\n\u003cli\u003eAnalyze the impact of AI on workforce to advise stakeholders to address AI-related workforce impacts, training, and education.\u003c\/li\u003e\n\u003cli\u003eEvaluate that awareness programs align to the organization’s AI-related policies and procedures.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection A. Data Management Specific to AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Data Collection\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConsent\u003c\/li\u003e\n\u003cli\u003eFit for Purpose\u003c\/li\u003e\n\u003cli\u003eData Lag\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Data Classification\u003c\/p\u003e\n\u003cp\u003e3. Data Confidentiality\u003c\/p\u003e\n\u003cp\u003e4. Data Quality\u003c\/p\u003e\n\u003cp\u003e5. Data Balancing\u003c\/p\u003e\n\u003cp\u003e6. Data Scarcity\u003c\/p\u003e\n\u003cp\u003e7. Data Security\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Encoding\u003c\/li\u003e\n\u003cli\u003eData Access\u003c\/li\u003e\n\u003cli\u003eData Secrecy\u003c\/li\u003e\n\u003cli\u003eData Replication\u003c\/li\u003e\n\u003cli\u003eData Backup\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection B. AI Solution Development Methodologies and Lifecycle\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. AI Solution Development Life Cycle\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse Case Development\u003c\/li\u003e\n\u003cli\u003eDesign\u003c\/li\u003e\n\u003cli\u003eDevelopment\u003c\/li\u003e\n\u003cli\u003eDeployment\u003c\/li\u003e\n\u003cli\u003eMonitoring and Maintenance\u003c\/li\u003e\n\u003cli\u003eDecommission\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Privacy and Security by Design\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplainability\u003c\/li\u003e\n\u003cli\u003eRobustness\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection C. Change Management Specific to AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Change Management Considerations\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData Dependency\u003c\/li\u003e\n\u003cli\u003eAI Model\u003c\/li\u003e\n\u003cli\u003eRegulatory and Societal Impact\u003c\/li\u003e\n\u003cli\u003eEmergency Changes\u003c\/li\u003e\n\u003cli\u003eConfiguration Management\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSection D. Supervision of AI Solutions\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. AI Agency\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLogging and Monitoring\u003c\/li\u003e\n\u003cli\u003eAI Observability\u003c\/li\u003e\n\u003cli\u003eHuman in the Loop (HITL)\u003c\/li\u003e\n\u003cli\u003eHallucination\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSection E. Testing Techniques for AI Solutions\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Conventional Software Testing Techniques\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA\/B Testing\u003c\/li\u003e\n\u003cli\u003eUnit and Integration Testing\u003c\/li\u003e\n\u003cli\u003eObjective Verification\u003c\/li\u003e\n\u003cli\u003eCode Reviews\u003c\/li\u003e\n\u003cli\u003eBlack Box Testing\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. AI-Specific Testing Techniques\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eModel Cards\u003c\/li\u003e\n\u003cli\u003eBias Testing\u003c\/li\u003e\n\u003cli\u003eAdversarial Testing\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection F. Threats and Vulnerabilities Specific to AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Types of AI-related Threats\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTraining Data Leakage\u003c\/li\u003e\n\u003cli\u003eData Poisoning\u003c\/li\u003e\n\u003cli\u003eModel Poisoning\u003c\/li\u003e\n\u003cli\u003eModel Theft\u003c\/li\u003e\n\u003cli\u003ePrompt Injections\u003c\/li\u003e\n\u003cli\u003eModel Evasion\u003c\/li\u003e\n\u003cli\u003eModel Inversion\u003c\/li\u003e\n\u003cli\u003eThreats for Using Vendor Supplied AI\u003c\/li\u003e\n\u003cli\u003eAI Solution Disruption\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Controls for AI-related Threats\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThreat and Vulnerability Identification\u003c\/li\u003e\n\u003cli\u003ePrompt Templates\u003c\/li\u003e\n\u003cli\u003eDefensive Distillation\u003c\/li\u003e\n\u003cli\u003eRegularization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection G. Incident Response Management Specific to AI\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Prepare\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePolicies, Procedures, and Model Documentation\u003c\/li\u003e\n\u003cli\u003eIncident Response Team\u003c\/li\u003e\n\u003cli\u003eTabletop Exercises\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Identify and Report\u003c\/p\u003e\n\u003cp\u003e3. Assess\u003c\/p\u003e\n\u003cp\u003e4. Respond\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eContainment\u003c\/li\u003e\n\u003cli\u003eEradication\u003c\/li\u003e\n\u003cli\u003eRecovery\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e5. Post-Incident Review\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDomain 3. AI Auditing Tools and Techniques\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLearning Objectives:\u003c\/p\u003e\n\u003cp\u003eWithin this domain, the AI auditor should be able to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEvaluate impacts, opportunities, and risk when integrating AI solutions within the audit process.\u003c\/li\u003e\n\u003cli\u003eUtilize AI solutions to enhance audit processes, including planning, execution, and reporting.\u003c\/li\u003e\n\u003cli\u003eEvaluate the monitoring and reporting of metrics (e.g., KPIs, KRIs) specific to AI.\u003c\/li\u003e\n\u003cli\u003eEvaluate data input requirements for AI models (e.g., data appropriateness, bias, and privacy).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection A. Audit Planning and Design\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Identification of AI Assets and Controls\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eInventory Objective and Procedure\u003c\/li\u003e\n\u003cli\u003eInventory and Data Gathering Methods\u003c\/li\u003e\n\u003cli\u003eDocumentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eSurveys\u003c\/li\u003e\n\u003cli\u003eInterviews\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Types of AI Controls\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExamples including Control Categories, Controls, and Explanations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. Audit Use Cases\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLarge Language Models\u003c\/li\u003e\n\u003cli\u003eAudit Process Improvement\u003c\/li\u003e\n\u003cli\u003eGenerative AI\u003c\/li\u003e\n\u003cli\u003eAudit-Specific AI Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e4. Internal Training for AI Use\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKey Components for Auditor Knowledge\u003c\/li\u003e\n\u003cli\u003ePractical Skills Development\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection B. Audit Testing and Sampling Methodologies\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Designing an AI Audit\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI Audit Objectives\u003c\/li\u003e\n\u003cli\u003eAudit Scoping and Resources\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. AI Audit Testing Methodologies\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI Systems Overall Testing\u003c\/li\u003e\n\u003cli\u003eFinancial Models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. AI Sampling\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eJudgmental sampling\u003c\/li\u003e\n\u003cli\u003eAI sampling\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e4. Outcomes of AI testing\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReduce false positives\u003c\/li\u003e\n\u003cli\u003eReduce workforce needs\u003c\/li\u003e\n\u003cli\u003eOutliers\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection C. Audit Evidence Collection Techniques\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Data Collection\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTraining and Testing Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eUnstructured and Structured Data Collection\u003c\/li\u003e\n\u003cli\u003eExtract, Transform, and Load\u003c\/li\u003e\n\u003cli\u003eData Manipulation\u003c\/li\u003e\n\u003cli\u003eScraping\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Walkthroughs and interviews\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesign Interview Questions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. AI Collection Tools\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing AI to Collect Logs\u003c\/li\u003e\n\u003cli\u003eAI agents to create outputs\u003c\/li\u003e\n\u003cli\u003eVoice to Speech\u003c\/li\u003e\n\u003cli\u003eOptimal Character Recognition\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection D. Audit Data Quality and Data Analytics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Data Quality\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOptimization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Data Analytics\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSentiment Analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eRun Data Analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. Data Reporting\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReports\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eDashboards\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSection E. AI Audit Outputs and Reports\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e1. Reports\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReport Types (examples and details)\u003c\/li\u003e\n\u003cli\u003eAdvisory Reports\u003c\/li\u003e\n\u003cli\u003eCharts and Visualizations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e2. Audit Follow-up\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAutomated follow-up\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e3. Quality Assurance and mitigate risk.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A85US \/ 2026-07-13T09:00:00 \/ Online","offer_id":47534214512859,"sku":"US-2020-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"26AB40US \/ 2026-10-13T09:00:00 \/ Herndon, VA","offer_id":48216540643547,"sku":"US-2020-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"271B58US \/ 2027-01-11T09:00:00 \/ Herndon, VA","offer_id":48216540676315,"sku":"US-2020-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"274B26US \/ 2027-04-12T09:00:00 \/ Herndon, VA","offer_id":48586417275099,"sku":"US-2020-IL","price":2396.0,"currency_code":"USD","in_stock":true}]},{"product_id":"aws-certified-machine-learning-engineer","title":"Machine Learning Engineering on AWS","description":"\u003cdiv\u003e\u003cp\u003eThis intermediate-level course prepares you for the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam by providing a comprehensive exploration of the exam topics. You'll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of examstyle questions, you'll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions effectively. The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you'll have a firm grasp on the concepts and practical applications tested on the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eMachine Learning Engineering on AWS Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUpon completing this course, students should be able to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify the scope and content tested by the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam.\u003c\/li\u003e\n\u003cli\u003ePractice exam-style questions and evaluate your preparation strategy.\u003c\/li\u003e\n\u003cli\u003eExamine use cases and differentiate between them.\u003cb\u003e\u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLearners are recommended to have the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSuggested 1 year of experience in a related role such as a backend software developer, DevOps developer, data engineer, or data scientist.\u003c\/li\u003e\n\u003cli\u003eBasic understanding of common ML algorithms and their use cases\u003c\/li\u003e\n\u003cli\u003eData engineering fundamentals, including knowledge of common data formats, ingestion, and transformation to work with ML data pipelines\u003c\/li\u003e\n\u003cli\u003eKnowledge of querying and transforming data\u003c\/li\u003e\n\u003cli\u003eKnowledge of software engineering best practices for modular, reusable code development, deployment, and debugging\u003c\/li\u003e\n\u003cli\u003eFamiliarity with provisioning and monitoring cloud and on-premises ML resources\u003c\/li\u003e\n\u003cli\u003eExperience with continuous integration and continuous delivery (CI\/CD) pipelines and infrastructure as code (IaC)\u003c\/li\u003e\n\u003cli\u003eExperience with code repositories for version control and CI\/CD pipelines.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eLearners are recommended to be able to do the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSuggested 1 year of experience using Amazon SageMaker AI and other AWS services for ML engineering.\u003c\/li\u003e\n\u003cli\u003eKnowledge of Amazon SageMaker AI capabilities and algorithms for model building and deployment\u003c\/li\u003e\n\u003cli\u003eKnowledge of AWS data storage and processing services for preparing data for modeling\u003c\/li\u003e\n\u003cli\u003eFamiliarity with deploying applications and infrastructure on AWS\u003c\/li\u003e\n\u003cli\u003eKnowledge of monitoring tools for logging and troubleshooting ML systems\u003c\/li\u003e\n\u003cli\u003eKnowledge of AWS services for the automation and orchestration of CI\/CD pipelines\u003c\/li\u003e\n\u003cli\u003eUnderstanding of AWS security best practices for identity and access management, encryption, and data protection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMachine Learning Engineering on AWS Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eDomain 1: \u003c\/b\u003eData Preparation for Machine Learning (ML)\u003c\/p\u003e\n\u003cp\u003e1.1 Ingest and store data.\u003c\/p\u003e\n\u003cp\u003e1.2 Transform data and perform feature engineering.\u003c\/p\u003e\n\u003cp\u003e1.3 Ensure data integrity and prepare data for modeling\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 2:\u003c\/b\u003e ML Model Development\u003c\/p\u003e\n\u003cp\u003e2.1 Choose a modeling approach.\u003c\/p\u003e\n\u003cp\u003e2.2 Train and refine models.\u003c\/p\u003e\n\u003cp\u003e2.3 Analyze model performance\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 3\u003c\/b\u003e: Deployment and Orchestration of ML Workflows\u003c\/p\u003e\n\u003cp\u003e3.1 Select deployment infrastructure based on existing architecture and requirements.\u003c\/p\u003e\n\u003cp\u003e3.2 Create and script infrastructure based on existing architecture and requirements.\u003c\/p\u003e\n\u003cp\u003e3.3 Use automated orchestration tools to set up continuous integration and continuous delivery (CI\/CD) pipelines.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 4:\u003c\/b\u003e ML Solution Monitoring, Maintenance, and Security\u003c\/p\u003e\n\u003cp\u003e4.1 Monitor model interference.\u003c\/p\u003e\n\u003cp\u003e 4.2 Monitor and optimize infrastructure costs.\u003c\/p\u003e\n\u003cp\u003e4.3 Secure AWS resources.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A60US \/ 2026-08-24T09:00:00 \/ Online","offer_id":47534222016731,"sku":"US-1965-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BB57US \/ 2026-11-09T09:00:00 \/ Online","offer_id":48216589009115,"sku":"US-1965-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272B01US \/ 2027-02-16T09:00:00 \/ Online","offer_id":48266093986011,"sku":"US-1965-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275B46US \/ 2027-05-25T09:00:00 \/ Online","offer_id":48804206772443,"sku":"US-1965-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"isaca-advanced-in-ai-security-management-aaism-certification","title":"ISACA Advanced in AI Security Management (AAISM) Certification","description":"\u003cdiv\u003e\u003cp\u003eISACA Advanced in AI Security Management (AAISM) validates security management professionals’ ability to demonstrate their expertise in AI. This credential builds upon existing security best practices to enhance expertise and adapt to the evolving AI-driven landscape, ensuring robust protection and a strategic edge.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eISACA Advanced in AI Security Management (AAISM) Certification Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course you will learn skills which:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEstablishes AI-Specific Security Expertise\u003c\/li\u003e\n\u003cli\u003eBridges the Gap Between AI and Cybersecurity\u003c\/li\u003e\n\u003cli\u003eAligns with Enterprise Governance and Risk Needs\u003c\/li\u003e\n\u003cli\u003eBuilt on ISACA’s Trusted Frameworks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eMust possess a CISM or CISSP to be eligible for Certification.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI Security Management Certification Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eDomain 1: AI Governance and Program Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStakeholder Considerations, Industry Frameworks, and Regulatory Requirements\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOrganizational Structure and Overall Governance\u003c\/li\u003e\n\u003cli\u003eRoles and Responsibilities\u003c\/li\u003e\n\u003cli\u003eCharter and Steering Committee\u003c\/li\u003e\n\u003cli\u003eIdentifying Stakeholders\u003c\/li\u003e\n\u003cli\u003eRisk Appetite and Tolerance\u003c\/li\u003e\n\u003cli\u003eFrameworks, Standards, and Regulations\u003c\/li\u003e\n\u003cli\u003eSelecting appropriate Frameworks\u003c\/li\u003e\n\u003cli\u003eBusiness and Use Cases for AI\u003c\/li\u003e\n\u003cli\u003ePrivacy Considerations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAI-related Strategies, Policies, and Procedures\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI Strategy\u003c\/li\u003e\n\u003cli\u003eConsumer v. Enterprise\u003c\/li\u003e\n\u003cli\u003eBuy vs. Build\u003c\/li\u003e\n\u003cli\u003eAI Policies\u003c\/li\u003e\n\u003cli\u003eResponsible Use\u003c\/li\u003e\n\u003cli\u003eAcceptable Use\u003c\/li\u003e\n\u003cli\u003eAI Procedures\u003c\/li\u003e\n\u003cli\u003eImplementation\u003c\/li\u003e\n\u003cli\u003eManuals\u003c\/li\u003e\n\u003cli\u003eEthics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAI Asset and Data Life Cycle Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI Asset and Data Inventory\u003c\/li\u003e\n\u003cli\u003eInventory management\u003c\/li\u003e\n\u003cli\u003eModel cards\u003c\/li\u003e\n\u003cli\u003eData handling, classification, discovery\u003c\/li\u003e\n\u003cli\u003eData Augmentation and Cleaning\u003c\/li\u003e\n\u003cli\u003eData Storage\u003c\/li\u003e\n\u003cli\u003eData Protection\u003c\/li\u003e\n\u003cli\u003eDestruction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAI Security Program Development and Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDocumented Program Plan\u003c\/li\u003e\n\u003cli\u003eSecurity team, roles, responsibilities, and proficiencies\u003c\/li\u003e\n\u003cli\u003eAlignment to existing info sec\u003c\/li\u003e\n\u003cli\u003eUse of AI-enabled security tools in the program\u003c\/li\u003e\n\u003cli\u003eMetrics and management\u003c\/li\u003e\n\u003cli\u003eKRIs and KPIs for AI use with regard to the security\u003c\/li\u003e\n\u003cli\u003eManagement reporting\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eBusiness Continuity and Incident Response\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIncident detection\u003c\/li\u003e\n\u003cli\u003eNotification\u003c\/li\u003e\n\u003cli\u003eIncident classification\u003c\/li\u003e\n\u003cli\u003eCriticality and severity\u003c\/li\u003e\n\u003cli\u003eResiliency\u003c\/li\u003e\n\u003cli\u003eBusiness Continuity Plan\u003c\/li\u003e\n\u003cli\u003eRed-button requirements for compliance\u003c\/li\u003e\n\u003cli\u003eIncident response playbooks specifically for AI\u003c\/li\u003e\n\u003cli\u003eBreak glass policies\/ go no go • Authority\u003c\/li\u003e\n\u003cli\u003eRTO RPO – AI perspective\u003c\/li\u003e\n\u003cli\u003eDisaster recovery\u003c\/li\u003e\n\u003cli\u003eTesting\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDomain 2. AI Risk Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Risk Assessment, Thresholds, and Treatment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImpact assessment\u003c\/li\u003e\n\u003cli\u003eConformity assessment\u003c\/li\u003e\n\u003cli\u003ePIAs\u003c\/li\u003e\n\u003cli\u003eRisk documentation\u003c\/li\u003e\n\u003cli\u003eAcceptable levels of risk\u003c\/li\u003e\n\u003cli\u003eTreatment plans\u003c\/li\u003e\n\u003cli\u003eKRIs and KPIs for AI us\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAI-related Strategies, Policies, and Procedures\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePEN test\u003c\/li\u003e\n\u003cli\u003eVulnerability tests\u003c\/li\u003e\n\u003cli\u003eRed teaming\u003c\/li\u003e\n\u003cli\u003eAI related vulnerabilities\u003c\/li\u003e\n\u003cli\u003eAdversarial threats\u003c\/li\u003e\n\u003cli\u003eThreat intelligence\u003c\/li\u003e\n\u003cli\u003eAI-enabled threats\/Attack chains\u003c\/li\u003e\n\u003cli\u003eAnomalies\u003c\/li\u003e\n\u003cli\u003eThreat landscape\u003c\/li\u003e\n\u003cli\u003eDeep fakes\u003c\/li\u003e\n\u003cli\u003eInsider threat\u003c\/li\u003e\n\u003cli\u003eAI agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAI Vendor and Supply Chain Management\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDependencies of software packages and libraries\u003c\/li\u003e\n\u003cli\u003eVendor due diligence and contracts\u003c\/li\u003e\n\u003cli\u003eSLAs\u003c\/li\u003e\n\u003cli\u003eVendor usage\u003c\/li\u003e\n\u003cli\u003eAccountability models\u003c\/li\u003e\n\u003cli\u003eProvider vs. deployer\u003c\/li\u003e\n\u003cli\u003eThird, fourth, and fifth parties\u003c\/li\u003e\n\u003cli\u003eOwnership and intellectual property\u003c\/li\u003e\n\u003cli\u003eAccess controls\u003c\/li\u003e\n\u003cli\u003eLiability\u003c\/li\u003e\n\u003cli\u003eVendor monitoring for risk and changes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 3. AI Technologies and Controls\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI Security Architecture and Design\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eChange management\u003c\/li\u003e\n\u003cli\u003eSDL\u003c\/li\u003e\n\u003cli\u003eSecure by design\u003c\/li\u003e\n\u003cli\u003eSecuring infrastructure as code\u003c\/li\u003e\n\u003cli\u003eData flows\u003c\/li\u003e\n\u003cli\u003eApproved base models\u003c\/li\u003e\n\u003cli\u003eInterconnectivity and interaction with architecture\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAI Life Cycle (e.g., model selection, training, and validation)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTesting models interconnectivity\u003c\/li\u003e\n\u003cli\u003eLinkages between models\u003c\/li\u003e\n\u003cli\u003eRegression\u003c\/li\u003e\n\u003cli\u003eModel testing\u003c\/li\u003e\n\u003cli\u003eProgression\u003c\/li\u003e\n\u003cli\u003eTEVV\u003c\/li\u003e\n\u003cli\u003eModel accuracy testing and evaluation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eData Management Controls\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eData collection\u003c\/li\u003e\n\u003cli\u003eData control\u003c\/li\u003e\n\u003cli\u003eData Poisoning\u003c\/li\u003e\n\u003cli\u003eBIAS\u003c\/li\u003e\n\u003cli\u003eAccuracy\u003c\/li\u003e\n\u003cli\u003eData position requirements\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePrivacy, Ethical, Trust and Safety Controls\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplainability\u003c\/li\u003e\n\u003cli\u003ePrivacy controls – like right to be forgotten, data subject rights\u003c\/li\u003e\n\u003cli\u003eConsent\u003c\/li\u003e\n\u003cli\u003eTransparency\u003c\/li\u003e\n\u003cli\u003eDecision making\u003c\/li\u003e\n\u003cli\u003eFairness\u003c\/li\u003e\n\u003cli\u003eEthics\u003c\/li\u003e\n\u003cli\u003eAutomated decision making\u003c\/li\u003e\n\u003cli\u003eHuman in the loop\u003c\/li\u003e\n\u003cli\u003eTrust and safety - content moderation\u003c\/li\u003e\n\u003cli\u003ePotential harm\u003c\/li\u003e\n\u003cli\u003eEnvironmental impacts\u003c\/li\u003e\n\u003cli\u003eData minimization and anonymization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSecurity Controls and Monitoring\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecurity monitoring metrics\u003c\/li\u003e\n\u003cli\u003eSelecting the right controls\u003c\/li\u003e\n\u003cli\u003eImplementing controls\u003c\/li\u003e\n\u003cli\u003eSelf-assessment of controls (CSA)\u003c\/li\u003e\n\u003cli\u003eControl life cycle\u003c\/li\u003e\n\u003cli\u003eContinuous monitoring\u003c\/li\u003e\n\u003cli\u003eKPIs and KRIs for security controls and monitoring\u003c\/li\u003e\n\u003cli\u003eTechnical controls\u003c\/li\u003e\n\u003cli\u003eThreat controls mapping\u003c\/li\u003e\n\u003cli\u003eSecurity awareness training\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A68US \/ 2026-06-29T09:00:00 \/ Online","offer_id":47534201602267,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"268C85US \/ 2026-08-26T09:00:00 \/ Herndon, VA","offer_id":48216556503259,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"26AB39US \/ 2026-10-26T09:00:00 \/ Herndon, VA","offer_id":48216556798171,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"26CB26US \/ 2026-12-14T09:00:00 \/ Herndon, VA","offer_id":48216556830939,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"272B12US \/ 2027-02-24T09:00:00 \/ Herndon, VA","offer_id":48294630719707,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"274B25US \/ 2027-04-26T09:00:00 \/ Herndon, VA","offer_id":48669371662555,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"269D42US \/ 2026-09-28T09:00:00 \/ Online","offer_id":48837147656411,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true},{"title":"269D43US \/ 2026-09-14T09:00:00 \/ Online","offer_id":48837147689179,"sku":"US-2019-IL","price":2396.0,"currency_code":"USD","in_stock":true}]},{"product_id":"develop-ai-agents-on-azure-ai-3026","title":"Develop AI Agents on Azure (AI-3026)","description":"\u003cdiv\u003e\u003cp\u003eThis training class introduces AI agents, focusing on their development and deployment using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. Participants will learn when to use AI agents and how to build them effectively on Azure.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eDevelop AI Agents on Azure (AI-3026) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will gain:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eEnhanced Understanding\u003c\/b\u003e: Gain insights into the core concepts of AI agents and their applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePractical Skills\u003c\/b\u003e: Learn to build AI agents using Azure's tools and frameworks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIntegration Techniques\u003c\/b\u003e: Understand how to integrate custom tools into AI agents to extend their capabilities.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with fundamental AI concepts and services in Azure.\u003c\/li\u003e\n\u003cli\u003eCompletion of the \"Get started with artificial intelligence\" learning path is recommended.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDevelop AI Agents on Azure (AI-3026) Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eModule 1: Get Started with AI Agent Development on Azure\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to AI agents as the next generation of intelligent applications\u003c\/li\u003e\n\u003cli\u003eUnderstand how agents can be developed and deployed on Microsoft Azure\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 2: Develop an AI Agent with Azure AI Foundry Agent Service\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplore the Azure AI Foundry Agent Service\u003c\/li\u003e\n\u003cli\u003eBuild your first AI agent on the platform\u003c\/li\u003e\n\u003cli\u003eModule 3: Integrate Custom Tools into Your Agent\u003c\/li\u003e\n\u003cli\u003eReview the role of built-in tools\u003c\/li\u003e\n\u003cli\u003eExtend agent capabilities by adding custom tools\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 4: Develop a Multi-Agent Solution with Azure AI Foundry Agent Service\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBreak down complex tasks with multiple agents\u003c\/li\u003e\n\u003cli\u003eDesign and implement collaborative, connected agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 5: Integrate MCP Tools with Azure AI Agents\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEnable dynamic tool access for Azure AI agents\u003c\/li\u003e\n\u003cli\u003eConnect MCP-hosted tools into agent workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 6: Develop an AI Agent with Semantic Kernel\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how Semantic Kernel supports Azure AI Foundry Agent Service\u003c\/li\u003e\n\u003cli\u003eBuild and run agents using Semantic Kernel\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 7: Orchestrate a Multi-Agent Solution Using Semantic Kernel\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eApply the Semantic Kernel SDK to design multi-agent solutions\u003c\/li\u003e\n\u003cli\u003eEnable collaboration between agents for complex task execution\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eModule 8: Discover Azure AI Agents with A2A\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImplement the A2A protocol for agent discovery\u003c\/li\u003e\n\u003cli\u003eEnable direct communication and coordinated execution across remote agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"266A70US \/ 2026-06-29T09:00:00 \/ Online","offer_id":47534199374043,"sku":"US-8698-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA08US \/ 2026-10-02T09:00:00 \/ Online","offer_id":47640581800155,"sku":"US-8698-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271B91US \/ 2027-01-22T09:00:00 \/ Online","offer_id":48216579932379,"sku":"US-8698-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274B50US \/ 2027-04-02T09:00:00 \/ Online","offer_id":48540677767387,"sku":"US-8698-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"extend-microsoft-365-copilot-in-copilot-studio-ms-4022","title":"Extend Microsoft 365 Copilot in Copilot Studio (MS-4022)","description":"\u003cdiv\u003e\u003cp\u003eThis course guides learners through the process of building agents that extend Microsoft 365 Copilot with additional knowledge and capabilities. Using Copilot Studio, participants will learn to build declarative agents, add knowledge, configure actions, and publish agents to Microsoft 365 Copilot.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eExtend Microsoft 365 Copilot in Copilot Studio (MS-4022) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will gain:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eEnhanced Customization\u003c\/b\u003e: Learn to tailor Microsoft 365 Copilot to specific organizational needs by building declarative agents.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIntegration Capabilities\u003c\/b\u003e: Understand how to connect agents to external data sources and services, expanding Copilot's functionality.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eImproved Productivity\u003c\/b\u003e: Equip Copilot with additional knowledge and actions to streamline workflows and improve efficiency.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with Microsoft 365 Copilot.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with options for extending Microsoft 365 Copilot.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eExtend Microsoft 365 Copilot in 1 Day Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eModule 1: Introduction to Declarative Agents for Microsoft 365 Copilot\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to determine scenarios suitable for customizing and extending Microsoft 365 Copilot using declarative agents. You'll also understand the functions of custom knowledge and custom actions.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule 2: Build Your First Declarative Agent for Microsoft 365 Copilot by Using Copilot Studio\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to create an agent tailored to a specific scenario to extend Microsoft 365 Copilot. Your declarative agent will provide relevant and accurate responses using custom knowledge.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule 3: Introduction to Actions for Declarative Agents in Copilot Studio\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to create and configure actions in Copilot Studio to expand the capabilities of your declarative agents. You'll connect your declarative agent to external data sources and customize generative responses.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule 4: Extend Declarative Agents with Prompt Actions in Copilot Studio\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to customize your declarative agent's generative responses by extending your agent with prompt actions. You'll craft custom prompts, test them against the LLM, and add prompt actions to declarative agents that extend Microsoft 365 Copilot.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule 5: Extend Declarative Agents with Connector Actions in Copilot Studio\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to connect your declarative agent to external services and data using connector actions. You'll configure out-of-the-box and custom connectors and add them to agents that extend Microsoft 365 Copilot.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267B79US \/ 2026-07-02T09:00:00 \/ Online","offer_id":47534214545627,"sku":"US-8751-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA14US \/ 2026-10-01T09:00:00 \/ Online","offer_id":47638418292955,"sku":"US-8751-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A51US \/ 2027-01-14T09:00:00 \/ Online","offer_id":48216579965147,"sku":"US-8751-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A35US \/ 2027-04-01T09:00:00 \/ Online","offer_id":48531743080667,"sku":"US-8751-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"explore-microsoft-365-copilot-chat-ms-4023","title":"Explore Microsoft 365 Copilot Chat (MS-4023)","description":"\u003cdiv\u003e\u003cp\u003eThis course introduces Microsoft 365 Copilot Chat as a secure, AI-powered assistant that boosts productivity by leveraging web-based insights. It guides learners on accessing the tool, navigating its interface, and utilizing it effectively to enhance productivity, streamline work, and collaborate securely in real-time.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eExplore Microsoft 365 Copilot Chat (MS-4023) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will gain:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eEnhanced Productivity\u003c\/b\u003e: Learn to leverage AI to streamline tasks and workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEffective Communication\u003c\/b\u003e: Craft clear prompts to get optimal results from Copilot Chat.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSecure Collaboration\u003c\/b\u003e: Understand how to collaborate in real-time within a secure environment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNone\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eExplore Microsoft 365 Copilot Chat (MS-4023) Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eModule 1: Get Started with Microsoft 365 Copilot Chat\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to access and navigate Microsoft 365 Copilot Chat, understanding its interface and foundational features to begin enhancing your productivity.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule 2: Write Effective Prompts to Achieve Optimal Results\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to craft clear and effective prompts for Copilot Chat, exploring key elements and best practices to obtain optimal AI-generated responses.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule 3: Work Smarter with Microsoft 365 Copilot Chat\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn this module, you will learn how to utilize Copilot Chat's AI-powered features to enhance productivity, collaborate in real-time, and streamline work within a secure, enterprise-ready environment.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"266B31US \/ 2026-06-29T09:00:00 \/ Online","offer_id":47534214578395,"sku":"US-8752-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA15US \/ 2026-10-02T09:00:00 \/ Online","offer_id":47640581832923,"sku":"US-8752-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A52US \/ 2027-01-05T09:00:00 \/ Online","offer_id":48216581832923,"sku":"US-8752-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A36US \/ 2027-04-02T09:00:00 \/ Online","offer_id":48540678226139,"sku":"US-8752-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"github-copilot-gh-300","title":"GitHub Copilot (GH-300)","description":"\u003cdiv\u003e\u003cp\u003eThis course delves into the fundamentals and advanced features of GitHub Copilot, an AI-powered code completion tool. Participants will explore how to integrate Copilot into various development environments, understand its ethical implications, and learn to customize its functionalities to suit organizational needs.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eGitHub Copilot (GH-300) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will learn:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhanced Productivity\u003c\/strong\u003e: Leverage AI to accelerate coding tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCross-Environment Integration\u003c\/strong\u003e: Utilize Copilot across IDEs, command lines, and chat interfaces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCustomization\u003c\/strong\u003e: Tailor Copilot's behavior to align with organizational policies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEthical AI Usage\u003c\/strong\u003e: Understand and implement responsible AI practices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBasic understanding of GitHub fundamentals.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eGitHub Copilot Intermediate Course Ouline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003eResponsible AI with GitHub Copilot\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e use GitHub Copilot responsibly, understanding the ethical considerations and potential risks associated with AI-assisted coding.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eIntroduction to GitHub Copilot\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e integrate GitHub Copilot into your development environment and utilize its features for code suggestions.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eIntroduction to Prompt Engineering with GitHub Copilot\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e craft effective prompts to guide Copilot in generating accurate and relevant code snippets.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eUsing Advanced GitHub Copilot Features\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e leverage advanced functionalities of Copilot, including context-aware suggestions and multi-line code generation.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eGitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e utilize Copilot across different platforms, enhancing productivity in various development scenarios.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eManagement and Customization Considerations with GitHub Copilot\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e customize Copilot settings to align with organizational policies and manage its integration across teams.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eDeveloper Use Cases for AI with GitHub Copilot\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e apply Copilot in real-world development scenarios, enhancing various stages of the software development lifecycle.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eDevelop Unit Tests Using GitHub Copilot Tools\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e generate and implement unit tests efficiently using Copilot's AI capabilities.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eIntroduction to GitHub Copilot Business\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e understand the features and benefits of Copilot Business, including its application in enterprise environments.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eIntroduction to GitHub Copilot Enterprise\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e explore the advanced features of Copilot Enterprise, focusing on scalability and integration within large organizations.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eUsing GitHub Copilot with JavaScript\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e enhance JavaScript development using Copilot's code suggestions and completions.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eUsing GitHub Copilot with Python\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eIn this module, you will learn how to\u003c\/i\u003e boost Python programming efficiency by integrating Copilot into your workflow.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267B81US \/ 2026-07-14T09:00:00 \/ Online","offer_id":47534214709467,"sku":"US-8754-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA60US \/ 2026-10-15T09:00:00 \/ Online","offer_id":48216579997915,"sku":"US-8754-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A54US \/ 2027-01-19T09:00:00 \/ Online","offer_id":48216580030683,"sku":"US-8754-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A37US \/ 2027-04-12T09:00:00 \/ Online","offer_id":48586419306715,"sku":"US-8754-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"transform-your-everyday-business-processes-with-agents-ms-4019","title":"Transform your Everyday Business Processes with Agents (MS-4019)","description":"\u003cdiv\u003e\u003cp\u003eThis training course explores how business users can leverage no-code agents in Microsoft 365 Copilot Chat and SharePoint to automate tasks, enhance collaboration, and improve productivity. You’ll learn how to get started with agents, explore prebuilt Copilot agents, build and manage your own, and share them across Microsoft 365 applications.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eTransform your Everyday Business Processes with Agents (MS-4019) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on experience\u003c\/b\u003e: Learn to create, manage, and use agents in both Copilot Chat and SharePoint.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBoost productivity\u003c\/b\u003e: Automate everyday tasks and streamline collaboration with AI-powered assistants.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLeverage prebuilt tools\u003c\/b\u003e: Explore existing agents like Analyst, Researcher, and Writing Coach to maximize efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNo coding required\u003c\/b\u003e: Build and deploy functional AI-powered agents without programming skills.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePractical business use\u003c\/b\u003e: Gain skills directly applicable to Microsoft 365 environments your teams already use.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eStudents should have basic functional experience with Microsoft 365 services.\u003c\/li\u003e\n\u003cli\u003eStudents must have a proficient understanding of general IT practices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eTransform Business with No-Code AI Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Get Started with Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eWhat are agents?\u003c\/li\u003e\n\u003cli\u003eWho can create and use agents?\u003c\/li\u003e\n\u003cli\u003eExplore the benefits of using agents\u003c\/li\u003e\n\u003cli\u003eEnhance collaboration using agents\u003c\/li\u003e\n\u003cli\u003eExamine IT governance controls for agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Explore Prebuilt Microsoft 365 Copilot Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eExamine the Analyst agent\u003c\/li\u003e\n\u003cli\u003eExercise – Use the Analyst agent\u003c\/li\u003e\n\u003cli\u003eExamine the Researcher agent\u003c\/li\u003e\n\u003cli\u003eExercise – Use the Researcher agent\u003c\/li\u003e\n\u003cli\u003eExamine the Visual Creator agent\u003c\/li\u003e\n\u003cli\u003eExamine the Prompt Coach agent\u003c\/li\u003e\n\u003cli\u003eExamine the Idea Coach agent\u003c\/li\u003e\n\u003cli\u003eExamine the Writing Coach agent\u003c\/li\u003e\n\u003cli\u003eExercise – Use an agent of your choice\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Build and Manage an Agent\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eExamine the tools used to create agents\u003c\/li\u003e\n\u003cli\u003eExplore the components of an agent\u003c\/li\u003e\n\u003cli\u003eCreate an agent in Copilot Chat – Part 1\u003c\/li\u003e\n\u003cli\u003eCreate an agent in Copilot Chat – Part 2\u003c\/li\u003e\n\u003cli\u003eExercise – Create a Copilot Chat agent\u003c\/li\u003e\n\u003cli\u003eCreate an agent in SharePoint\u003c\/li\u003e\n\u003cli\u003eExercise – Create a SharePoint agent\u003c\/li\u003e\n\u003cli\u003eTest and edit your agents\u003c\/li\u003e\n\u003cli\u003eManage your agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Share and Use Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eShare an agent with other users\u003c\/li\u003e\n\u003cli\u003eShare an agent in Microsoft Teams\u003c\/li\u003e\n\u003cli\u003eInteract with agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267B88US \/ 2026-07-10T09:00:00 \/ Online","offer_id":47534215200987,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268B44US \/ 2026-08-20T09:00:00 \/ Online","offer_id":47534215233755,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA63US \/ 2026-10-02T09:00:00 \/ Online","offer_id":48216582619355,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA49US \/ 2026-11-20T09:00:00 \/ Online","offer_id":48216582652123,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A59US \/ 2027-01-04T09:00:00 \/ Online","offer_id":48216582684891,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A37US \/ 2027-02-16T09:00:00 \/ Online","offer_id":48266091233499,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A40US \/ 2027-04-02T09:00:00 \/ Online","offer_id":48540671475931,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A42US \/ 2027-05-20T09:00:00 \/ Online","offer_id":48788301512923,"sku":"US-8759-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"the-power-of-ai-with-power-bi","title":"The Power of AI with Power BI","description":"\u003cdiv\u003e\n\u003cp\u003eThis course describes in detail the use of AI within Power BI and ranges from the existing Azure AI capability, current AI visuals, to the new AI functionality included with Copilot. It describes the use of AI in the six stages of visualization: Loading Data; Transforming Data; Working with the Data Model, including DAX; Visualizing your data; and concluding with AI in the Power BI Service. \u003c\/p\u003e\r\n\u003cp\u003eThe course consists of Detailed instruction slides, Instructor demos, Do Now steps for the student, and multiple Exercises to enforce the learning.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eThe Power of AI with Power BI Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cul type=\"disc\"\u003e\n\u003cli\u003eAI is becoming more integrated into society and data visualization tools are no exception. Learning how to use AI within Power BI can be a difficult process which this course breaks down into straight forward topics.\u003c\/li\u003e\n\u003cli\u003eManually exploring large data sets to find insights can be a complex set of steps, with Copilot you can ask natural language questions to generate visuals and summaries automatically.\u003c\/li\u003e\n\u003cli\u003eLearning DAX and writing DAX queries can also be difficult and can be a steep learning curve. Copilot can explain DAX functions and usage, and even write DAX measures based on natural language prompts.\u003c\/li\u003e\n\u003cli\u003eBuilding reports and dashboards can be a very time-consuming task, however, Copilot can suggest visuals, create charts and build entire reports pages based on your questions.\u003c\/li\u003e\n\u003cli\u003eExtracting insights from the data can sometimes be hit or miss, Copilot can proactively discover insights, trends and outliers making data-driven decisions quicker to reach.\u003c\/li\u003e\n\u003cli\u003eVery few people enjoy documenting their reports or measures, but Copilot can explain visuals, metrics, data transformations and measures. A complete Report Page can be explained in seconds.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003ePrerequisites\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to Power BI Training\u003c\/li\u003e\n\u003cli\u003ePrevious AI experience not required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eThe Power of AI with Power BI Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003ePower BI and AI Overview\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ci\u003eHigh level overview of Power BI\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eHigh level overview of AI\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eWhat is Copilot?\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eDescribe the course structure and how it aligns with Course 1360\u003c\/i\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eTransforming Data with Azure AI\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ci\u003eDescribe power Query Ai Capabilities\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eUtilize Azure AI for:\u003c\/i\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ci\u003eText Analysis\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eImage tagging\u003c\/i\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eDiscuss Aure Machine Learning\u003c\/i\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eEnhancing Your Data Model with Copilot\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ci\u003eCopilot and Power BI Semantic Model requirements\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eWorking with DAX Query View and Copilot\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eCreating DAX Measures and Queries using Copilot\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eDocumenting the Semantic Model with Copilot \u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eDetailing Semantic Model best practices\u003c\/i\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eVisualizing Your Data using Copilot\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ci\u003eCreating Reports with Copilot\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eWorking with the existing AI Visuals\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eCreating synonyms for Q\u0026amp;A and Copilot prompts\u003c\/i\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe Power BI Service using Azure AI and Copilot\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ci\u003eExploring Standalone Copilot in the Power BI Service\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eWorking with Integrated Copilot in the Power BI Service\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003e Explore Integrated Copilot and the Semantic Model\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eCreate summaries of data and summarize key insights\u003c\/i\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eCourse Summary\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A25US \/ 2026-07-06T09:00:00 \/ Online","offer_id":47367048626395,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268A16US \/ 2026-08-17T09:00:00 \/ Online","offer_id":47466089545947,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269C65US \/ 2026-09-28T09:00:00 \/ Online","offer_id":48216556896475,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BC21US \/ 2026-11-16T09:00:00 \/ Online","offer_id":48216556994779,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C12US \/ 2027-01-04T09:00:00 \/ Online","offer_id":48216557027547,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272B42US \/ 2027-02-16T09:00:00 \/ Online","offer_id":48266085073115,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273B64US \/ 2027-03-30T09:00:00 \/ Online","offer_id":48523464671451,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275C01US \/ 2027-05-17T09:00:00 \/ Online","offer_id":48778580984027,"sku":"US-1367-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"implement-generative-ai-engineering-with-azure-databricks-dp-3028","title":"Implement Generative AI Engineering with Azure Databricks (DP-3028)","description":"\u003cdiv\u003e\u003cp\u003eThis course covers generative AI engineering on Azure Databricks, using Spark to explore, fine-tune, evaluate, and integrate advanced language models. It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance. Students will also learn about responsible AI practices for deploying AI solutions and how to manage models in production using LLMOps (Large Language Model Operations) on Azure Databricks.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplement Generative AI Engineering with Azure Databricks (DP-3028) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGain hands-on experience implementing Retrieval-Augmented Generation (RAG) and fine-tuning large language models (LLMs).\u003c\/li\u003e\n\u003cli\u003eExplore multi-stage reasoning techniques using LangChain, LlamaIndex, Haystack, and DSPy.\u003c\/li\u003e\n\u003cli\u003eUnderstand and apply LLMOps practices for model deployment, monitoring, and governance with MLflow and Unity Catalog.\u003c\/li\u003e\n\u003cli\u003eIncorporate responsible AI principles, including risk mitigation and ethical considerations.\u003c\/li\u003e\n\u003cli\u003eBuild and operationalize generative AI solutions using Azure Databricks and Apache Spark.\u003c\/li\u003e\n\u003cli\u003eAcquire in-demand generative AI skills in a focused, one-day training format.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBefore starting this module, you should be familiar with fundamental Azure Databricks concepts.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAzure Databricks Generative AI Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eGet started with language models in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand Generative AI\u003c\/li\u003e\n\u003cli\u003eUnderstand Large Language Models (LLMs)\u003c\/li\u003e\n\u003cli\u003eIdentify key components of LLM applications\u003c\/li\u003e\n\u003cli\u003eUse LLMs for Natural Language Processing (NLP) tasks\u003c\/li\u003e\n\u003cli\u003eExercise – Explore language models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eImplement Retrieval Augmented Generation (RAG) with Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore the main concepts of a RAG workflow\u003c\/li\u003e\n\u003cli\u003ePrepare your data for RAG\u003c\/li\u003e\n\u003cli\u003eFind relevant data with vector search\u003c\/li\u003e\n\u003cli\u003eRerank your retrieved results\u003c\/li\u003e\n\u003cli\u003eExercise – Set up RAG\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eImplement multi-stage reasoning in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhat are multi-stage reasoning systems?\u003c\/li\u003e\n\u003cli\u003eExplore LangChain\u003c\/li\u003e\n\u003cli\u003eExplore LlamaIndex\u003c\/li\u003e\n\u003cli\u003eExplore Haystack\u003c\/li\u003e\n\u003cli\u003eExplore the DSPy framework\u003c\/li\u003e\n\u003cli\u003eExercise – Implement multi-stage reasoning with LangChain\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eFine-tune language models with Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhat is fine-tuning?\u003c\/li\u003e\n\u003cli\u003ePrepare your data for fine-tuning\u003c\/li\u003e\n\u003cli\u003eFine-tune an Azure OpenAI model\u003c\/li\u003e\n\u003cli\u003eExercise – Fine-tune an Azure OpenAI model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eEvaluate language models with Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore LLM evaluation\u003c\/li\u003e\n\u003cli\u003eEvaluate LLMs and AI systems\u003c\/li\u003e\n\u003cli\u003eEvaluate LLMs with standard metrics\u003c\/li\u003e\n\u003cli\u003eDescribe LLM-as-a-judge for evaluation\u003c\/li\u003e\n\u003cli\u003eExercise – Evaluate an Azure OpenAI model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eReview responsible AI principles for language models in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhat is responsible AI?\u003c\/li\u003e\n\u003cli\u003eIdentify risks\u003c\/li\u003e\n\u003cli\u003eMitigate issues\u003c\/li\u003e\n\u003cli\u003eUse key security tooling to protect your AI systems\u003c\/li\u003e\n\u003cli\u003eExercise – Implement responsible AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eImplement LLMOps in Azure Databricks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTransition from traditional MLOps to LLMOps\u003c\/li\u003e\n\u003cli\u003eUnderstand model deployments\u003c\/li\u003e\n\u003cli\u003eDescribe MLflow deployment capabilities\u003c\/li\u003e\n\u003cli\u003eUse Unity Catalog to manage models\u003c\/li\u003e\n\u003cli\u003eExercise – Implement LLMOps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"266A26CN \/ 2026-06-22T09:00:00 \/ Online","offer_id":47607559782619,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268C17US \/ 2026-08-10T09:00:00 \/ Online","offer_id":47607559815387,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"269A32CN \/ 2026-09-21T09:00:00 \/ Online","offer_id":47618955182299,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA62US \/ 2026-11-09T09:00:00 \/ Online","offer_id":48216565842139,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26CA12CN \/ 2026-12-14T09:00:00 \/ Online","offer_id":48216565874907,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A43US \/ 2027-02-12T09:00:00 \/ Online","offer_id":48247037952219,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"273A12CN \/ 2027-03-23T09:00:00 \/ Online","offer_id":48500533788891,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A52US \/ 2027-05-10T09:00:00 \/ Online","offer_id":48758119104731,"sku":"US-8761-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"work-smarter-with-copilot-in-microsoft-fabric-dp-3029","title":"Work Smarter with Copilot in Microsoft Fabric (DP-3029)","description":"\u003cdiv\u003e\n\u003cp\u003eUnlock the power of AI in your data workflows with Copilot in Microsoft Fabric. This learning path equips data analysts, engineers, and scientists with the skills to integrate, transform, store, and visualize data more effectively using AI-driven tools. You’ll discover how Copilot accelerates tasks across Fabric components—from Data Factory and Data Engineering to Power BI and Data Warehouse—helping you streamline processes, improve productivity, and deliver insights faster.\u003c\/p\u003e\r\n\u003cp\u003eNo matter if you’re building data pipelines, refining SQL queries, or creating business reports, Copilot acts as your intelligent partner to simplify complexity and amplify results.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eWork Smarter with Copilot in Microsoft Fabric (DP-3029) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBoost productivity by automating repetitive coding, modeling, and reporting tasks with AI assistance.\u003c\/li\u003e\n\u003cli\u003eStreamline workflows across Fabric services such as Data Engineering, Power BI, Data Warehouse, and Real-Time Intelligence.\u003c\/li\u003e\n\u003cli\u003eEnhance decision-making by creating AI-powered reports and insights through natural language interactions.\u003c\/li\u003e\n\u003cli\u003eStrengthen governance with built-in tools for configuring, scaling, and monitoring Copilot usage.\u003c\/li\u003e\n\u003cli\u003eStay future-ready by mastering data agents and secure conversational access to enterprise data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eYou should be familiar with basic data concepts and terminology, including data engineering, data modeling, and analysis.Exam Information\u003c\/li\u003e\n\u003cli\u003eBasic understanding of SQL and dataflows is helpful, but Copilot simplifies many technical tasks, making this course accessible even if you’re not an advanced programmer.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003e Copilot in Fabric Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introduction to Copilot in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore Copilot’s role across Data Factory, Data Engineering, Data Warehouse, Power BI, Real-Time Intelligence, SQL, and data agents.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Get Started with Copilot for Data Engineering\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Copilot in Dataflow Gen2, pipelines, and notebooks.\u003c\/li\u003e\n\u003cli\u003eAnalyze and orchestrate data with AI-assisted Spark code.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Get Started with Copilot for Data Warehouse\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGenerate and refine T-SQL using AI completions and chat.\u003c\/li\u003e\n\u003cli\u003eApply best practices and quick actions for warehouse analytics.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Get Started with Copilot in Power BI\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003ePrepare and model data with Copilot.\u003c\/li\u003e\n\u003cli\u003eBuild interactive reports and leverage natural language queries.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Implement Microsoft Fabric Data Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDesign and configure data agents for conversational data access.\u003c\/li\u003e\n\u003cli\u003eIntegrate with Azure AI Foundry and Power BI for secure Q\u0026amp;A.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Manage Copilot in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLearn Copilot architecture, governance, and consumption models.\u003c\/li\u003e\n\u003cli\u003eConfigure tenant settings and scale rollout cost-effectively.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"267A29CN \/ 2026-07-06T09:00:00 \/ Online","offer_id":47607560044763,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"268C18US \/ 2026-08-24T09:00:00 \/ Online","offer_id":47607560077531,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AA07CN \/ 2026-10-05T09:00:00 \/ Online","offer_id":48216557322459,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26BA63US \/ 2026-11-25T09:00:00 \/ Online","offer_id":48216557355227,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271A13CN \/ 2027-01-05T09:00:00 \/ Online","offer_id":48216557387995,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"272A44US \/ 2027-02-26T09:00:00 \/ Online","offer_id":48301881753819,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274A12CN \/ 2027-04-06T09:00:00 \/ Online","offer_id":48567539892443,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"275A53US \/ 2027-05-26T09:00:00 \/ Online","offer_id":48805410078939,"sku":"US-8765-IL","price":716.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-compliance-eu-ai-act-certification","title":"AI Compliance (EU AI Act) Certification","description":"\u003cdiv\u003e\n\u003cp\u003eThe A4Q AI Compliance certification (Certified Professional for AI Compliance – EU AI Act) validates essential knowledge and practical competencies required to interpret, apply, and evidence compliance with the \u003ca href=\"https:\/\/digital-strategy.ec.europa.eu\/en\/policies\/regulatory-framework-ai\" title=\"AI Act | Shaping Europe’s digital future | European Commission\" rel=\"nofollow noopener\" target=\"_blank\"\u003eEU AI Act\u003c\/a\u003e across the full AI system lifecycle. The certification confirms a comprehensive understanding of the Act’s core requirements, including risk-based classification, governance, documentation, transparency, and audit readiness - key capabilities for responsible and compliant AI deployment.\u003c\/p\u003e\r\n\u003cp\u003eCertificate holders demonstrate their ability to classify AI systems by risk level, apply high-risk obligations, support FRIA processes, contribute to post-market monitoring, and align AI governance with ISO\/IEC 42001, ISO\/IEC 23894, and relevant international frameworks. The certification also reflects an understanding of the global regulatory context influencing AI deployment in international environments.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI Compliance (EU AI Act) Certification Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eFor Individuals:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGain an internationally recognized certification in AI compliance\u003c\/li\u003e\n\u003cli\u003eDemonstrate understanding of AI compliance principles applicable across industries\u003c\/li\u003e\n\u003cli\u003eLearn how to interpret and apply AI regulatory frameworks and standards\u003c\/li\u003e\n\u003cli\u003eBuild awareness of organizational processes and technology relevant to AI governance\u003c\/li\u003e\n\u003cli\u003ePrepare to contribute to AI compliance initiatives within your team or organization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eFor Organizations:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eEquip teams with a shared understanding of AI compliance requirements\u003c\/li\u003e\n\u003cli\u003eSupport adherence to regulatory frameworks, including AI-specific compliance guidelines\u003c\/li\u003e\n\u003cli\u003eFacilitate responsible adoption of AI technologies in line with organizational policies\u003c\/li\u003e\n\u003cli\u003eStrengthen internal capabilities to manage AI governance and compliance without sole reliance on external consultants\u003c\/li\u003e\n\u003cli\u003ePrepare staff to participate in AI risk management, audits, and policy implementation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThere are no prerequisites. The certification is accessible to both technical and non-technical professionals. A general interest in AI, governance, regulation, or digital transformation is helpful but not required.\u003c\/p\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eEU AI Act Compliance Certification Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: Introduction to AI Compliance \u0026amp; the EU AI Act\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat Is Artificial Intelligence in the Regulatory Context\u003c\/li\u003e\n\u003cli\u003eOverview of the EU AI Act\u003c\/li\u003e\n\u003cli\u003eImplementation Timeline (2024 – 2027)\u003c\/li\u003e\n\u003cli\u003eKey Statement\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Risk-Based Approach \u0026amp; Classification\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFundamental Principle of the Risk-Based Approach\u003c\/li\u003e\n\u003cli\u003eAnnex III – Automatically High-Risk AI Systems\u003c\/li\u003e\n\u003cli\u003eCriteria for Risk Classification\u003c\/li\u003e\n\u003cli\u003eObligations and Measures by Risk Level\u003c\/li\u003e\n\u003cli\u003eRisk Dynamics and Re-Assessments\u003c\/li\u003e\n\u003cli\u003eRisk-Based Prioritization of Measures\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModel 3: Global and Sectoral Regulatory Landscape\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGlobal AI Regulation: Status and Trends\u003c\/li\u003e\n\u003cli\u003eComparison: EU AI Act ↔ International Regulations\u003c\/li\u003e\n\u003cli\u003eSectoral AI Regulation and Interfaces\u003c\/li\u003e\n\u003cli\u003eHarmonization and Strategies for Global AI Projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModel 4: Prohibited AI Practices (Art. 5 EU AI Act)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOverview of Prohibited Practices\u003c\/li\u003e\n\u003cli\u003eLegal and Fundamental Rights Basis\u003c\/li\u003e\n\u003cli\u003eExceptions under Article 5(2)–(3)\u003c\/li\u003e\n\u003cli\u003ePractical Awareness Measures\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModel 5: High-Risk AI Systems and Obligations (Arts. 6–51 EU AI Act)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentification of High-Risk AI Systems\u003c\/li\u003e\n\u003cli\u003eCore Obligations for High-Risk AI Systems\u003c\/li\u003e\n\u003cli\u003eImplementation within Organizations\u003c\/li\u003e\n\u003cli\u003eDocumentation and Evidence Obligations (Audit Readiness)\u003c\/li\u003e\n\u003cli\u003eExample – Applying High-Risk AI Obligations in Practice\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 12: Risk Management and Quality Management Systems\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCore Principles of AI Risk Management\u003c\/li\u003e\n\u003cli\u003eThe Risk Management Cycle According to ISO\/IEC 23894 and the EU AI Act\u003c\/li\u003e\n\u003cli\u003eIntegration into Existing Management Systems\u003c\/li\u003e\n\u003cli\u003eDocumentation and Evidence Obligations\u003c\/li\u003e\n\u003cli\u003eGovernance, Roles, and Responsibilities\u003c\/li\u003e\n\u003cli\u003eImportance of Integration for Compliance and Quality\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 13: Conformity Assessment and CE Marking\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFundamentals of Conformity Assessment (Art. 43 EU AI Act)\u003c\/li\u003e\n\u003cli\u003eContents of the Technical Documentation (Articles 11 \u0026amp; Annex IV)\u003c\/li\u003e\n\u003cli\u003eCE Marking Procedure (Article 49 EU AI Act)\u003c\/li\u003e\n\u003cli\u003eRole of Notified Bodies\u003c\/li\u003e\n\u003cli\u003eRegistration in the EU Database for High-Risk AI Systems (Article 71)\u003c\/li\u003e\n\u003cli\u003eHandling of Substantial Modifications (Article 43(4))\u003c\/li\u003e\n\u003cli\u003eLink to Quality and Management Systems\u003c\/li\u003e\n\u003cli\u003ePractical Example: Conformity Route of an HR Screening Tool\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 14: Transparency Obligations for Limited-Risk Systems (Art. 52 EU AI Act)\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eArticle 52 EU AI Act – Transparency Obligations\u003c\/li\u003e\n\u003cli\u003eApplication Areas and Labeling Obligations\u003c\/li\u003e\n\u003cli\u003eDesign Recommendations for Interfaces and Labeling\u003c\/li\u003e\n\u003cli\u003eOrganizational Implementation in Companies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267C91US \/ 2026-07-29T09:00:00 \/ Herndon, VA","offer_id":48101401428187,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269C04US \/ 2026-09-16T09:00:00 \/ Herndon, VA","offer_id":48101401460955,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26AA33US \/ 2026-10-28T09:00:00 \/ Herndon, VA","offer_id":48101401493723,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26CA25US \/ 2026-12-16T09:00:00 \/ Herndon, VA","offer_id":48101401526491,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"271A22US \/ 2027-01-27T09:00:00 \/ Herndon, VA","offer_id":48190721163483,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273A17US \/ 2027-03-17T09:00:00 \/ Herndon, VA","offer_id":48377300091099,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"274A14US \/ 2027-04-28T09:00:00 \/ Herndon, VA","offer_id":48696390418651,"sku":"US-1289-IL","price":2228.0,"currency_code":"USD","in_stock":true}]},{"product_id":"ai-driven-business-analysis","title":"AI-Driven Business Analysis","description":"\u003cdiv\u003e\u003cp\u003eThis 3-day interactive course equips Business Analysts with the practical skills, tools, and frameworks needed to integrate Artificial Intelligence into every stage of the BA lifecycle. Designed for real-world application, the course blends strategy, hands-on Business Analysis practice, case studies, and tool-based demonstrations. Participants learn how AI enhances requirements, analysis, stakeholder engagement, business cases, automation, and solution evaluation — enabling BAs to operate at a higher, more strategic level. By the end of the program, attendees will be able to confidently leverage AI to improve productivity, quality, insight, and decision-making in their organizations. This is the way forward.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI-Driven Business Analysis Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplain where AI fits within the BA lifecycle\u003c\/li\u003e\n\u003cli\u003eUnderstand common AI tools used across industries\u003c\/li\u003e\n\u003cli\u003eIdentify opportunities for AI-driven optimisation in BA workflows Practical Skills\u003c\/li\u003e\n\u003cli\u003eUse AI to support elicitation, documentation, analysis, and modelling\u003c\/li\u003e\n\u003cli\u003eApply AI tools (ChatGPT, Miro AI, Power BI Copilot, Jira AI, etc.)\u003c\/li\u003e\n\u003cli\u003eInterpret AI-generated insights (predictive analytics, sentiment analysis) Analytical \u0026amp; Strategic Outcomes\u003c\/li\u003e\n\u003cli\u003eBuild stronger business cases using data \u0026amp; AI-driven insights\u003c\/li\u003e\n\u003cli\u003eEvaluate solutions with AI-enhanced modelling and forecasting\u003c\/li\u003e\n\u003cli\u003ePrioritize automation opportunities using AI recommendations Professional \u0026amp; Soft Skills\u003c\/li\u003e\n\u003cli\u003eImprove stakeholder communication using AI-assisted outputs\u003c\/li\u003e\n\u003cli\u003ePresent AI-enhanced process maps, requirements, dashboards, and UX scenarios\u003c\/li\u003e\n\u003cli\u003eMaintain ethical, safe, and responsible use of AI in BA practice\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA good working knowledge of Business Analysis is required\u003c\/li\u003e\n\u003cli\u003eNo AI background is required.\u003c\/li\u003e\n\u003cli\u003eNo programming experience required.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI-Driven Business Analysis Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: The New BA Landscape \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhy AI changes the BA role\u003c\/li\u003e\n\u003cli\u003eTypes of AI relevant to BA (GenAI, Predictive AI, NLP, Process AI)\u003c\/li\u003e\n\u003cli\u003eIndustry trends and future BA competencies\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: AI in Requirements Elicitation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing AI to prepare interview questions\u003c\/li\u003e\n\u003cli\u003eTurning meeting transcripts into themes, user stories, and acceptance criteria\u003c\/li\u003e\n\u003cli\u003eAI for stakeholder sentiment analysis Tools: ChatGPT, Fireflies, Otter, Jira AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: AI in Requirements Documentation \u0026amp; Analysis \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI for clarity checks, ambiguity detection, and requirements quality (Requirements Engineering)\u003c\/li\u003e\n\u003cli\u003eAuto-generating BA artifacts\n\u003cul style=\"list-style-type: circle;\"\u003e\n\u003cli\u003eProblem statements\u003c\/li\u003e\n\u003cli\u003eAS-IS \u0026amp; TO-BE summaries \u003c\/li\u003e\n\u003cli\u003eBusiness rules\u003c\/li\u003e\n\u003cli\u003eConverting requirements for tech, business, and execs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: AI for Process Mapping \u0026amp; Improvement \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing AI to design workflows\u003c\/li\u003e\n\u003cli\u003eAI-driven process mining\u003c\/li\u003e\n\u003cli\u003eIdentifying automation opportunities\u003c\/li\u003e\n\u003cli\u003eDrafting Power Automate \/ UiPath workflows Tools: Celonis, Miro AI, Power Automate Copilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: AI for Data Analysis \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI-assisted quantitative analysis\u003c\/li\u003e\n\u003cli\u003eAsking natural-language questions to data\u003c\/li\u003e\n\u003cli\u003eForecasting and predictive modeling for business cases Tools: Power BI Copilot, Tableau GPT, Excel Copilot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: AI in Testing \u0026amp; Quality Assurance \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI-generated test cases\u003c\/li\u003e\n\u003cli\u003eChecking requirement completeness\u003c\/li\u003e\n\u003cli\u003eValidating business logic\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 7: Stakeholder Engagement Using AI \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing AI to adapt communication for different stakeholders\u003c\/li\u003e\n\u003cli\u003eAI for persona development\u003c\/li\u003e\n\u003cli\u003eImproving conflict resolution with AI reflection tools\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 8: AI in Business Case Development \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUsing AI for benefits modeling\u003c\/li\u003e\n\u003cli\u003eAI-generated risk assessments\u003c\/li\u003e\n\u003cli\u003ePredictive ROI analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 9: AI in Solution Evaluation \u0026amp; TOM Design (Business Architecture) \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSimulating future-state scenarios\u003c\/li\u003e\n\u003cli\u003eAI-supported TOM diagrams (Business Capability Map viewpoints)\u003c\/li\u003e\n\u003cli\u003eAI-enabled gap analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 10: Ethics, Governance \u0026amp; Responsible AI for BAs \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBias, transparency, data privacy\u003c\/li\u003e\n\u003cli\u003eHuman oversight\u003c\/li\u003e\n\u003cli\u003eSafe use of AI in corporate environments\u003c\/li\u003e\n\u003cli\u003eAI governance and compliance\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 11: Building Your AI-Enabled BA Toolkit \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTool selection guide for BAs\u003c\/li\u003e\n\u003cli\u003eHow to embed AI in your BA workflow\u003c\/li\u003e\n\u003cli\u003eSkills roadmap for becoming an AI-enabled BA\u003c\/li\u003e\n\u003cli\u003eSample templates (provided as downloadable assets\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eFinal Activity: AI-Enhanced BA Capstone Participants work in teams to produce a full artifact pack for a simulated project using AI\u003c\/b\u003e:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eStakeholder map\u003c\/li\u003e\n\u003cli\u003eUser stories\u003c\/li\u003e\n\u003cli\u003eProcess maps\u003c\/li\u003e\n\u003cli\u003eBusiness case\u003c\/li\u003e\n\u003cli\u003eTest cases Executive summary Presentations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268C62US \/ 2026-08-05T09:00:00 \/ Herndon, VA","offer_id":48108787302619,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"269C07US \/ 2026-09-23T09:00:00 \/ Herndon, VA","offer_id":48108787335387,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA26US \/ 2026-11-04T09:00:00 \/ Herndon, VA","offer_id":48108787368155,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26CA28US \/ 2026-12-16T09:00:00 \/ Herndon, VA","offer_id":48108787400923,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A16US \/ 2027-02-03T09:00:00 \/ Herndon, VA","offer_id":48214950510811,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"273A21US \/ 2027-03-23T09:00:00 \/ Herndon, VA","offer_id":48500533821659,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A20US \/ 2027-05-05T09:00:00 \/ Herndon, VA","offer_id":48741621334235,"sku":"US-1928-IL","price":2228.0,"currency_code":"USD","in_stock":true}]}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0691\/4143\/0491\/collections\/FVkqWkadTmKVd4J1LWdg_10b1cd46-c51c-4190-a7cd-cb99ada72824.webp?v=1780655674","url":"https:\/\/learningtreeinternational-dirinfosec-hhs.myshopify.com\/collections\/artificial-intelligence.oembed","provider":"Learning Tree International","version":"1.0","type":"link"}