Beginner's guide to building AI agents on AWS

Navigate the complexities of AI agents on AWS with this practical guide, tailored for beginners and tech enthusiasts alike. The book delves into essential topics such as AWS integration, multi-agent systems, and semantic memory optimization. With hands-on examples and real-world case studies, readers will gain the skills needed to build scalable AI solutions.

What You'll Learn

• Implement AWS integration for AI agents
• Optimize semantic long-term memory (RAG layer)
• Develop multi-agent systems with collaborative protocols
• Build and deploy on Amazon ECS
• Evaluate agent performance with real-world use cases

Who This Book Is For

This book is ideal for aspiring AI developers, cloud engineers, and IT professionals looking to expand their expertise in building AI solutions on AWS. It assumes no prior experience with AWS or AI agents but a basic understanding of cloud concepts is helpful.

What You Need to Know First

A foundational understanding of cloud computing and basic programming concepts will be advantageous. Familiarity with AWS services, although not required, is beneficial for maximizing the book's practical applications.

Why This Book

Unlike other resources, this guide offers a structured approach with a focus on practical implementation. It emphasizes hands-on learning through real-world examples, making complex concepts accessible to beginners.

What's Inside

Authored by Bunny Kaushik and Mona M, this 290-page guide published by Packt Publishing includes detailed chapters on AWS integration and multi-agent system development. It provides code samples and deployment guides to enhance learning.