Book Review: Generative AI at AWS
-
Gineesh Madapparambath
- Books, Gen ai, Aws, Agentic ai
- July 4, 2026
Authors: Nestor Gandara, Eduardo Ordax, Srikanth Daggumalli, Ashutosh Dubey
Publisher: Packt
I travel a lot, for personal trips and for community events. Before every trip I load up a few books for offline reading, so the flying time and the boring airport waiting time don’t feel so long. Some books turn out to be really good reads. During my last KubeCon trip, I picked up Generative AI at AWS, and this one turned out to be a real good find. No boring filler, just realistic and practical content from start to end.
The book starts with how GenAI came into the picture and why it matters so much right now. The authors go deep into the concepts too, and they explain every AI term along the way, so even if some of these words feel new to you, you won’t feel lost by the time you finish a chapter.
Once the basics are covered, the book gets into the AWS GenAI stack and how it helps you build and manage your own AI solutions. This is where the reading gets a bit more serious, in a good way.
After the stack, the book moves into agentic AI and how to actually deploy it. I really liked how they used a simple hotel reservation agent example to explain things, then built on top of it to cover the full end to end agentic AI deployment. Once you get that example, the book takes you further into product grade agentic and GenAI application scenarios, including scaling options and best practices.
The authors spend a good number of pages on security best practices for agentic and GenAI implementations. For me, this was the key chapter in the whole book. If you are building anything production facing, this is not a section to skip.
The last chapters are packed with useful stuff too, advanced techniques, the business value of using GenAI, and some solid case studies to back it all up.
I would highly recommend this book to anyone who wants to learn more about GenAI and agentic AI, especially if you are implementing it using AWS services.
Thanks to Nimisha and the Packt team for arranging a copy of this book, and kudos to the entire book team for putting this together.
What I liked most: Rich and clear diagrams, solid detail on each AI tech component, and practical, real world scenarios throughout.
Gineesh Madapparambath
Gineesh Madapparambath is the founder of techbeatly. He is the co-author of The Kubernetes Bible, Second Edition and the author of Ansible for Real Life Automation. He has worked as a Systems Engineer, Automation Specialist, and content author. His primary focus is on Ansible Automation, Containerisation (OpenShift & Kubernetes), and Infrastructure as Code (Terraform). (Read more: iamgini.com)
Note
Disclaimer: The views expressed and the content shared in all published articles on this website are solely those of the respective authors, and they do not necessarily reflect the views of the author’s employer or the platform. We strive to ensure the accuracy and validity of the content published on our website. However, we cannot guarantee the absolute correctness or completeness of the information provided. It is the responsibility of the readers and users of this website to verify the accuracy and appropriateness of any information or opinions expressed within the articles. If you come across any content that you believe to be incorrect or invalid, please contact us immediately so that we can address the issue promptly.
