Agentic AI Engineering on AWS: Designing and Building Autonomous AI Agents (Paperback) (ISBN-13: 9798189910500)

Artificial Intelligence is evolving from content generation to autonomous systems that can reason, plan, make decisions, and execute complex tasks. Building these enterprise-ready Agentic AI applications requires far more than choosing a large language model-it demands robust architectures, Retrieval-Augmented Generation (RAG), memory systems, workflow orchestration, security, governance, and operational excellence.

Agentic AI Engineering on AWS is a comprehensive, implementation-focused guide that teaches you how to design, build, deploy, secure, monitor, and operate enterprise-grade autonomous AI systems using Amazon Bedrock and AWS. Through practical engineering principles, architectural best practices, and hands-on implementations, you'll learn how to build scalable, secure, and production-ready AI applications for real-world enterprise environments.

Inside this book, you'll learn how to:

• Understand the foundations of Agentic AI and autonomous systems

• Design reasoning, planning, and decision-making architectures

• Build AI agents using Amazon Bedrock foundation models

• Implement Retrieval-Augmented Generation (RAG) using knowledge bases and vector databases

• Engineer scalable short-term and long-term memory architectures

• Integrate enterprise APIs, business systems, and external tools

• Design and implement multi-agent collaboration systems

• Build event-driven and serverless AI applications on AWS

• Secure AI systems using IAM, guardrails, governance, and responsible AI practices

• Monitor, troubleshoot, and optimize production AI workloads

• Deploy enterprise-scale autonomous AI solutions using AWS best practices

• Apply proven architectural patterns for enterprise Agentic AI applications

Learning by building is the fastest path to mastering Agentic AI.

This book includes five complete end-to-end enterprise projects that demonstrate how modern autonomous AI systems are designed and implemented on AWS:

• Enterprise Knowledge Assistant

• AI Operations Engineer

• Autonomous Research Agent

• AI Customer Support Platform

• Intelligent Workflow Automation Platform

These enterprise projects bring together the concepts, architectural patterns, and engineering practices covered throughout the book, showing how to build production-ready autonomous AI solutions for real-world business scenarios.

The future of enterprise software belongs to autonomous AI systems that can reason, collaborate, and take action.

Whether you're an AI engineer, software developer, cloud architect, or AWS professional, this book provides the practical roadmap for designing, building, deploying, and operating enterprise-grade autonomous AI agents using Amazon Bedrock and AWS.

If you're ready to move beyond AI prototypes and learn how to engineer production-ready Agentic AI solutions, this book will help you build the skills needed to create the next generation of intelligent enterprise applications.