AI Product Manager's Handbook: Build, Integrate, Scale, and Optimize Products to grow in your AI Product Management

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 Product Management field
• Packed with real-world examples, practical insights, and actionable strategies
• Navigate the complexities of AI product development, evolve your existing products

Book Description
This book serves as your indispensable companion, providing a detailed roadmap for successfully building, maintaining, and evolving AI-driven products. 
We'll explore the AI landscape, demystify complex terms, and gain insights into infrastructure, algorithms, and deployment strategies. Master the essential skills to understand the optimal flow of AI processes. We'll guide you through the nuances of model development, from linear regression to deep learning neural networks. You'll learn when a model is market-ready, the intricacies of deployment, and crucial testing and troubleshooting strategies. Rely on consistency and MLOps, and nurturing strong customer relationships. Finally, we'll explore the intricacies of retraining, tuning parameters, and establishing a feedback loop. You'll master the art of designing AI-native products as well as getting traditional software products AI ready and craft compelling stories to captivate your audience. We'll help you find the right balance between foundational design elements and the unique aspects of AI-native products, so you can prioritize wisely. 
By the end of this book, you will understand the imperative of integrating AI into existing products. Explore the evolution of Generative AI and LLMs, as well as discover the rise of open-source capabilities that are available to you.
What you will learn

• Plan your AI PM roadmap, and prepare yourself for interviews
• 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, identify quick wins for AI enablement and GenAI
• Fundamentals of building and developing a product with AI natively
• 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. Those looking to better understand machine learning principles and data science methodologies will benefit from this book, particularly if they’re in roles where the application of AI/ML directly influences marketing outcomes and business strategies.
Table of Contents

• What is AI?
• Model Maintenance
• Machine Learning and Deep Learning Deep Dive
• Promising Developments in AI Products
• What's next in AI Products?
• Understanding the AI native product
• Productizing a ML Service
• Customization for Verticals, Customers & Peer Groups
• Macro and Micro AI
• Product Design for the AI Native Product
• Benchmarking Performance, Cost & Growth Hacking
• 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
• Managing the Evolving AI Product
• Starting a career in AI PM
• What does it mean to be a good AI PM?
• The Evergreen Learner: Maturing and growing in AI PM