Building Generative AI on AWS Bedrock Develop LLM Applications with Python, RAG, and Agents [#1016105]

Building Generative AI on AWS Bedrock: Develop LLM Applications with Python, RAG, and Agents
English | 14 Dec. 2025 | ASIN: B0G6X5S7B4 | 414 pages | Epub | 296.06 KB
Stop building "toy" chatbots. Start architecting enterprise-grade Generative AI on AWS. The era of experimental AI is over. Businesses today demand secure, scalable, and intelligent applications that solve real problems. Building Generative AI on AWS Bedrock is your definitive, hands-on guide to mastering the managed service that is redefining how developers build with Large Language Models (LLMs). Written for Python developers and cloud architects, this book bypasses the fluff and dives straight into the code. You won't just learn "what" Generative AI is; you will learn exactly how to implement it using the AWS SDK (Boto3) and the Amazon Bedrock API. From your first API call to deploying autonomous Agents that can execute complex business tasks, this book takes you through the entire engineering lifecycle. What You Will Build and Master: The Bedrock Foundation: Navigate the control plane vs. data plane, manage quotas, and programmatically switch between top-tier models like Anthropic Claude 3 , Meta Llama 3 , and Amazon Titan without rewriting your code. Production-Grade RAG: Move beyond simple tutorials. Build robust Retrieval-Augmented Generation pipelines using Knowledge Bases for Amazon Bedrock. Learn to ingest data from S3, configure vector stores (OpenSearch Serverless), and implement advanced retrieval patterns like Hybrid Search and Cohere Rerank to eliminate hallucinations. Autonomous Agents: Transform passive chatbots into active workers.1 Design Bedrock Agents that can reason, plan, and execute tasks by calling your own Lambda functions. Master the art of writing OpenAPI schemas that teach the AI how to use your internal APIs. Safety & Governance: Deploy with confidence using Guardrails for Amazon Bedrock . Implement PII redaction, content filtering, and denied topic policies to ensure your application adheres to strict enterprise compliance standards. Observability & Operations: Stop flying blind. Set up CloudWatch dashboards to track token usage, latency, and costs.2 Learn to audit every interaction with CloudTrail and optimize your spend using Provisioned Throughput and caching strategies. Why This Book? 100% Python & Boto3: No pseudo-code. Every chapter is packed with executable scripts you can drop directly into your IDE. Architectural Focus: Learn the patterns that matter-state management with DynamoDB, event-driven ingestion, and the "Human-in-the-Loop" workflow. Future-Proof Design: Discover how to build "Model Gateways" that allow you to swap underlying models instantly as new versions are released. Whether you are a backend engineer tasked with adding AI to a legacy app, or a cloud architect designing a new intelligent platform, this book provides the blueprints you need. Master the stack. Control the cost. Deploy the future. Scroll up and grab your copy today to start building on Amazon Bedrock.