{"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; 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