Product guide

AI Product Manager's Handbook, 2nd Edition

AI Product Manager's Handbook is a second-edition guide to planning and building AI products, with coverage of generative AI, responsible AI, product strategy, and commercialization. Its scope spans product discovery and market fit through model development, maintenance, and deployment challenges.

At a glance

Covers product discovery, market fit, strategy, and execution for AI products.
Includes topics on generative AI, ethical AI, bias mitigation, and compliance.
Discusses model development and maintenance, AI infrastructure, commercialization, and productizing ML services.
Listing claims a DRM-free PDF and Packt Reader access with the book, subject to email sign-up and proof of purchase.

Price

$27.99Save 30%

Reference price: ~~$39.99~~

Price checked: Nov 14, 2026

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Often bought together

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Pros and cons

Pros

Wide product-lifecycle coverage connects business goals and product strategy with AI development and commercialization topics.
Responsible AI, bias mitigation, cost, compliance, and risk topics broaden the guide beyond feature planning.
The listing describes the edition as adding generative AI insights and refreshed case studies and frameworks.

Cons

A foundational understanding of AI is expected, so readers seeking a first introduction to AI may need supplementary learning.

Technical specifications

9 specifications

Book details
Publisher	Packt Publishing
Edition	2nd ed.
Publication date	November 29, 2024
Language	English
Print length	484 pages
ISBN-10	1835882854
ISBN-13	978-1835882849

Dimensions and installation
Weight listed	1.83 pounds
Dimensions	7.5 x 1.1 x 9.25 inches

What to know before buying

The claimed free PDF and Packt Reader access requires email sign-up and proof of purchase. The listing does not specify the exact redemption process.

Who is it for?

A good fit for

Aspiring or experienced product managers working on AI or machine-learning products.
AI strategists and business leaders aligning AI capabilities with product and business goals.
Engineers, designers, and executives interested in AI product collaboration and customer needs.

Less suited to

Readers looking for a general product-management primer with no AI background expectation.
Readers seeking a purely hands-on coding manual rather than product strategy, lifecycle, and commercialization coverage.

Customer reviews on Amazon

4.7 / 5 · 33 ratings

5 stars80%80%
4 stars14%14%
3 stars3%3%
2 stars0%0%
1 star3%3%

Aggregate ratings lean positive, with most ratings in the five-star category, but a smaller share are one-, three-, or four-star ratings. Without written feedback, the ratings do not reveal which aspects readers liked or disliked. The book's broad topic coverage may appeal to AI product practitioners, but ratings alone cannot establish how clear, current, or practical its frameworks are for a particular reader.

Frequently asked questions

What does this book cover?

The listing describes coverage of AI product discovery, market fit, strategy, execution, responsible AI, infrastructure, model development and maintenance, and commercialization.

Who is the intended reader?

The listing names aspiring and experienced product managers, AI strategists, business leaders, engineers, designers, and executives. It says a foundational understanding of AI is expected.

Does the listing include a digital version?

It claims a DRM-free PDF and access to Packt's Reader with the book. Email sign-up and proof of purchase are required.

How long is the book?

The listed print length is 484 pages.