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Amazon Bedrock enables you to build powerful generative AI applications on AWS without managing infrastructure. This book, Building Gen AI Applications with Amazon Bedrock, is a practical guide to creating production-grade GenAI systems, from your first model invocation to applications that are secure, observable, and cost-aware. You will learn how foundation models fit into modern software engineering, and how to design solutions such as chatbots, summarization tools, image generation, and personalized experiences—without disrupting your existing stack. As you progress, you will discover how to select and evaluate models, decide when to use prompting, RAG, or agents, and design workflows that perform reliably under real-world conditions. You will also integrate Bedrock into existing architectures, implement guardrails and evaluation loops, and scale confidently without performance or cost surprises. Working with models such as Anthropic Claude and Amazon Titan will enable you to see how disciplined engineering turns generative AI from a demo into dependable business value. Thus, by the end, you will be ready to build and operate GenAI systems on Bedrock with clarity!
Syed Kadar Ansari Syed Ahamed is an engineering leader building data-intensive, AI-enabled platforms at production scale. He focuses on practical generative AI—where models meet governance, security, and reliability. This book guides engineers to use Amazon Bedrock to design, evaluate, and ship real-world AI systems—clearly, safely, and without hype.
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