{"product_id":"developing-generative-ai-solutions-on-aws","title":"Developing Generative AI Applications on AWS","description":"\u003cdiv\u003e\n\u003cp\u003eThis course is designed to introduce generative artificial intelligence (AI) to software developers interested in using large language models (LLMs) without fine-tuning.\u003c\/p\u003e\r\n\u003cp\u003eThe course provides an overview of generative AI, planning a generative AI project, getting started with Amazon Bedrock, the foundations of prompt engineering, and the architecture patterns to build generative AI applications using Amazon Bedrock and LangChain. \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eDeveloping Generative AI Applications on AWS Benefits\u003c\/h3\u003e\n\u003cul\u003e\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\u003cdiv\u003e\n\u003cul\u003e\n\u003cli paraeid=\"{1e9c7215-3c0b-40b3-99c3-ae65fda2cbe4}{243}\" paraid=\"212096346\"\u003e\u003cspan xml:lang=\"EN-US\" data-contrast=\"auto\"\u003eAWS Technical Essentials\u003c\/span\u003e\u003c\/li\u003e\n\u003cli paraeid=\"{1e9c7215-3c0b-40b3-99c3-ae65fda2cbe4}{243}\" paraid=\"212096346\"\u003eIntermediate-level proficiency in Python\u003cspan data-ccp-props='{\"201341983\":0,\"335559685\":360,\"335559739\":0,\"335559740\":240}'\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eGen AI Applications on AWS 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 Generative AI Art of the Possible\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOverview of ML\u003c\/li\u003e\n\u003cli\u003eBasics of generative AI\u003c\/li\u003e\n\u003cli\u003eGenerative AI use cases\u003c\/li\u003e\n\u003cli\u003eGenerative AI in practice\u003c\/li\u003e\n\u003cli\u003eRisks and benefits\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Planning a Generative AI Project\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGenerative AI fundamentals\u003c\/li\u003e\n\u003cli\u003eGenerative AI in practice\u003c\/li\u003e\n\u003cli\u003eGenerative AI context\u003c\/li\u003e\n\u003cli\u003eSteps in planning a generative AI project\u003c\/li\u003e\n\u003cli\u003eRisks and mitigation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Getting Started with Amazon Bedrock\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to Amazon Bedrock\u003c\/li\u003e\n\u003cli\u003eArchitecture and use cases\u003c\/li\u003e\n\u003cli\u003eHow to use Amazon Bedrock\u003c\/li\u003e\n\u003cli\u003eDemonstration Setting up Bedrock access and using playgrounds\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Foundations of Prompt Engineering\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasics of foundation models\u003c\/li\u003e\n\u003cli\u003eFundamentals of Prompt Engineering\u003c\/li\u003e\n\u003cli\u003eBasic prompt techniques\u003c\/li\u003e\n\u003cli\u003eAdvanced prompt techniques\u003c\/li\u003e\n\u003cli\u003eModel-specific prompt techniques\u003c\/li\u003e\n\u003cli\u003eDemonstration Finetuning a basic text prompt\u003c\/li\u003e\n\u003cli\u003eAddressing prompt misuses\u003c\/li\u003e\n\u003cli\u003eMitigating perspective awareness\u003c\/li\u003e\n\u003cli\u003eDemonstration: Image perspective awareness mitigation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Amazon Bedrock Application Components\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOverview of generative AI application components\u003c\/li\u003e\n\u003cli\u003eApplications and use cases\u003c\/li\u003e\n\u003cli\u003eFoundation models and the FM interface\u003c\/li\u003e\n\u003cli\u003eWorking with datasets and embeddings\u003c\/li\u003e\n\u003cli\u003eDemonstration: Word embeddings\u003c\/li\u003e\n\u003cli\u003eAdditional application components\u003c\/li\u003e\n\u003cli\u003eRetrieval Augmented Career Stages RAG\u003c\/li\u003e\n\u003cli\u003eModel fine-tuning\u003c\/li\u003e\n\u003cli\u003eSecuring generative AI applications\u003c\/li\u003e\n\u003cli\u003eGenerative AI application architecture\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: Amazon Bedrock Foundation Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to Amazon Bedrock foundation models\u003c\/li\u003e\n\u003cli\u003eUsing Amazon Bedrock FMs for inference\u003c\/li\u003e\n\u003cli\u003eAmazon Bedrock methods\u003c\/li\u003e\n\u003cli\u003eData protection and auditability\u003c\/li\u003e\n\u003cli\u003eLab: Invoke Amazon Bedrock model for text Career Stages using zero-shot prompt\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 7: LangChain\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOptimizing LLM performance\u003c\/li\u003e\n\u003cli\u003eIntegrating AWS and LangChain\u003c\/li\u003e\n\u003cli\u003eUsing models with LangChain\u003c\/li\u003e\n\u003cli\u003eConstructing prompts\u003c\/li\u003e\n\u003cli\u003eStructuring documents with indexes\u003c\/li\u003e\n\u003cli\u003eStoring and retrieving data with memory\u003c\/li\u003e\n\u003cli\u003eUsing chains to sequence components\u003c\/li\u003e\n\u003cli\u003eManaging external resources with LangChain agents\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 8: Architecture Patterns\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to architecture patterns\u003c\/li\u003e\n\u003cli\u003eText summarization\u003c\/li\u003e\n\u003cli\u003eQuestion answering\u003c\/li\u003e\n\u003cli\u003eDemonstration Using Amazon Bedrock for question-answering\u003c\/li\u003e\n\u003cli\u003eChatbot\u003c\/li\u003e\n\u003cli\u003eLab: Build a chatbot • Code Career Stages\u003c\/li\u003e\n\u003cli\u003eDemonstration Using Amazon Bedrock models for code Career Stages\u003c\/li\u003e\n\u003cli\u003eLangChain and agents for Amazon Bedrock\u003c\/li\u003e\n\u003cli\u003eLab: Building conversational applications with the Converse API\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267A57US \/ 2026-07-13T09:00:00 \/ Herndon, 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