Amazon Bedrock in Action: Build, Deploy, and Scale Production Generative AI Applications with AgentCore, RAG, Nova 2, and Guardrails on AWS

Most teams get a Bedrock demo working in a day. Getting it production-ready takes months — and most books don't tell you why.AMAZON BEDROCK IN ACTION — 2026 EDITION is the fully updated, hands-on engineering guide for every developer, solutions architect, and ML engineer who needs to build, deploy, and operate generative AI applications that actually work at enterprise scale — not just in a notebook.Rebuilt from the ground up to cover AWS re:Invent announcements, this edition covers every major update to the Bedrock platform: Amazon Bedrock AgentCore (Runtime, Gateway, Memory, Identity, Observability, Policy, Evaluations), the complete Nova 2 model family (Micro, Lite, Pro, Premier), next-generation RAG with Knowledge Bases and Bedrock Data Automation, and Guardrails for Code — so you're never working with outdated patterns.The technology stack you'll master:— Amazon Bedrock AgentCore: build, deploy, and operate production agents with zero infrastructure management— Nova 2 family: choose the right model for speed, cost, and intelligence across every use case— Retrieval-Augmented Generation (RAG): design Knowledge Bases that reduce hallucination and ground responses in your data— Bedrock Guardrails: block harmful content, detect prompt injection, protect sensitive data, and enforce compliance— Reinforcement Fine-Tuning (RFT): improve model accuracy by 66%+ on domain-specific tasks without labelled datasets— Multi-agent orchestration: build agent networks that plan, delegate, and self-correct across complex workflows— GenAIOps: monitoring, evaluation, tracing, and continuous improvement with CloudWatch and OpenTelemetryWhat separates this book from every other Bedrock guide:— Fully updated for 2026: covers AgentCore Policy, AgentCore Evaluations, episodic memory, Nova 2, Guardrails for Code, and Bedrock Data Automation — all announced at re:Invent 2025— Production-first approach: every chapter is built around what breaks in production, not what works in a demo— Real architecture patterns: multi-agent systems, RAG pipelines, cost optimisation, compliance frameworks, and observability stacks — documented from real deployments— Framework-agnostic: works with LangChain, LangGraph, Strands Agents, or raw Bedrock APIs— Security by design: Guardrails, Cedar policy enforcement, IAM, VPC, and data encryption from chapter oneWhether you are building your first Bedrock application or migrating a complex multi-agent system to production, this book gives you the complete, current, and battle-tested playbook for the AWS generative AI platform in 2026.The tools are here. The models are here. The infrastructure is here.This is how you ship. Read more