Product guide

AI Agents on AWS: Beginner’s Guide to Building AI Agents on AWS

Building: AI Agents on AWS is a beginner-focused guide to designing and deploying AI agents with AWS services and related frameworks. It moves from single-agent tools and memory through multi-agent workflows to deployment, evaluation, observability, and governance, with Python examples and project notebooks described in the listing.

At a glance

Covers agent foundations, tool and function calling, memory, and workflow orchestration.
Discusses Amazon Bedrock, SageMaker AI, LangGraph, Strands, MCP, and A2A.
Includes production deployment topics plus evaluation, tracing, monitoring, and governance.
Listing describes Python scripts, notebooks, dependency files, and setup instructions for examples.

Price

$31.49Save 30%

Reference price: ~~$44.99~~

Price checked: Nov 14, 2026

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Pros and cons

Pros

Connects introductory agent concepts to AWS-specific development and production topics.
Includes both single-agent and multi-agent design patterns, with deployment examples across AWS services.
Examples span memory, communication protocols, evaluation, and governance rather than focusing only on agent construction.

Cons

The examples require Python and AWS access, and some deployment walkthroughs additionally require Docker.
The coverage is specifically oriented around AWS and may be less suitable as a provider-neutral guide.

Technical specifications

11 specifications

Book details
Publisher	Packt Publishing
Publication date	April 29, 2026
Language	English
Print length	290 pages
ISBN-10	1806387212
ISBN-13	978-1806387212

Dimensions and installation
Weight listed	1.12 pounds
Dimensions	7.5 x 0.67 x 9.25 inches

Technical requirements
Python	Python 3.10 or later
AWS access	An AWS account with Amazon Bedrock access
Docker	Docker is required for the ECS and Lambda deployment examples.

What to know before buying

The book description recommends familiarity with Python, APIs, and basic AI/ML concepts. The listing says it is also designed to be accessible to readers still building that foundation.

Who is it for?

A good fit for

AI, machine-learning, and software engineers developing agents on AWS.
Cloud architects planning agent systems and production workflows.
Students and developers who want an introduction to agentic AI and can work with Python and AWS.

Less suited to

Readers seeking a platform-neutral guide or a book focused only on general AI concepts without implementation.

Customer reviews on Amazon

4.9 / 5 · 11 ratings

5 stars87%87%
4 stars13%13%
3 stars0%0%
2 stars0%0%
1 star0%0%

Aggregate ratings are strongly positive, with most ratings in the five-star category, but the sample is small and no customer-comment evidence is supplied. The ratings alone do not establish which topics readers valued or how useful the AWS examples are in practice.

Frequently asked questions

What topics does this book cover?

The listing describes coverage of agent foundations, tools, memory, orchestration, multi-agent communication, deployment, evaluation, observability, and governance on AWS.

What background or setup is recommended?

Python, APIs, and basic AI/ML concepts are recommended. The listing specifies Python 3.10 or later and an AWS account with Amazon Bedrock access. Docker is required for the ECS and Lambda deployment examples.

Does the purchase include a digital copy?

The listing claims that purchase of the print or Kindle book includes a free PDF eBook. Confirm the applicable format and availability with the selected listing.