AI Product Manager’s Handbook: Build, integrate, scale, and optimize products to grow as an AI product manager

Price: $49.99
(as of Feb 07, 2025 03:37:04 UTC – Details)

Whether you’re a seasoned professional or a newcomer to the world of AI product management, this is your definitive guide. Embark on a transformative journey into the future of intelligent product management.

Key Features

Chart a successful career path in the AI product management field
Packed with real-world examples, practical insights, and actionable strategies
Navigate the complexities of AI product development and evolve your existing products

Book Description

This book will provide you with a detailed roadmap for successfully building, maintaining, and evolving artificial intelligence (AI)-driven products, serving as an indispensable companion on your journey to becoming an effective AI PM.

We’ll explore the AI landscape, demystify complex terms, and walk you through infrastructure, algorithms, and deployment strategies. You’ll master essential skills to understand the optimal flow of AI processes, learn about the product development life cycle from ideation to deployment, and familiarize yourself with commonly used model development techniques. We’ll discuss the intricacies of building products natively with AI, as well as evolving traditional software product to AI products. Regardless of your use case, we’ll show you how you can craft compelling stories to captivate your audience. We’ll help you find the right balance between foundational product design elements and the unique aspects of managing AI products, so you can prioritize wisely. We’ll also explore career considerations for AI PMs.

By the end of this book, you will understand the importance of AI integration and be able to explore emerging AI/ML models like Generative AI and LLMs. You’ll discover open-source capabilities and best practices for ideating, building, and deploying AI products across verticals.

What you will learn

Plan your AI PM roadmap and navigate your career with clarity and confidence
Gain a foundational understanding of AI/ML capabilities
Align your product strategy, nurture your team, and navigate the ongoing challenges of cost, tech, compliance, and risk management
Identify pitfalls and green flags for optimal commercialization
Separate hype from reality and identify quick wins for AI enablement and GenAI
Understand how to develop and manage both native and evolving AI products
Benchmark product success from a holistic perspective

Who this book is for

This book is for aspiring and experienced product managers, as well as other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected and reinforced. If you are looking to better understand machine learning principles and data science methodologies, you will benefit from this book, particularly if you’re in a role where the application of AI/ML directly influences marketing outcomes and business strategies.

Table of Contents

Understanding the Infrastructure and Tools for Building AI Products
Model Development and Maintenance for AI Products
Deep Learning Deep Dive
Commercializing AI Products
AI Transformation and Its Impact on Product Management
Understanding the AI-Native Product
Productizing the ML Service
Customization for Verticals, Customers, and Peer Groups
Product Design for the AI-Native Product
Benchmarking Performance, Growth Hacking, and Cost
Managing the AI Native Product
Rising Tide of AI
Trends & Insights Across Industry
Evolving products into AI products
The role of design when products evolve to embrace AI

(N.B. Please use the Read Sample option to see further chapters)

From the brand

Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

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Machine Learning

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ASIN ‏ : ‎ B0D6VQX69L
Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (November 29, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 484 pages
ISBN-10 ‏ : ‎ 1835882854
ISBN-13 ‏ : ‎ 978-1835882849
Item Weight ‏ : ‎ 2.26 pounds
Dimensions ‏ : ‎ 0.84 x 7.5 x 9.25 inches