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Amazon Bedrock Mastery: Building Enterprise-Scale AI Systems with Agents, RAG, and Multi-Model Workflows Kindle Edition

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Management number 220802793 Release Date 2026/05/03 List Price US$90.00 Model Number 220802793
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Reactive PublishingAmazon Bedrock has transformed how organizations deploy generative AI. But most teams never move beyond simple prototypes. Amazon Bedrock Mastery shows you exactly how to design, build, and scale enterprise-grade systems using agents, Retrieval-Augmented Generation (RAG), and multi-model workflows that deliver real business value.Written for engineering leaders, architects, and ambitious practitioners, this book provides a comprehensive blueprint for moving from experimentation to operational excellence. You will learn how to integrate Bedrock’s model ecosystem, build agentic architectures, orchestrate multi-step reasoning, and deliver secure, governed AI solutions across your organization.Inside you will learn how to:• Deploy Bedrock agents for planning, tool use, and workflow automation• Build robust RAG systems with vector databases, embeddings, and hybrid retrieval• Combine multiple foundation models into orchestrated, multi-model pipelines• Implement secure, governed enterprise AI environments that meet compliance requirements• Integrate Bedrock with AWS services such as Lambda, Step Functions, DynamoDB, API Gateway, and OpenSearch• Optimize cost, performance, and latency at scale• Design production architectures for knowledge automation, customer service, analytics, and internal tooling• Build repeatable blueprints that accelerate organizational AI adoptionWhether you are designing your first enterprise AI platform or modernizing an existing cloud architecture, this book gives you the frameworks, patterns, and practical examples to build systems that scale.If your goal is to lead your organization into the AI-native era, this is the guide you have been waiting for. Read more

XRay Not Enabled
Language English
File size 932 KB
Page Flip Enabled
Publisher Reactive Publishing
Word Wise Not Enabled
Print length 657 pages
Accessibility Learn more
Screen Reader Supported
Publication date December 3, 2025
Enhanced typesetting Enabled

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