AI Product Manager's Handbook
The ultimate playbook to unlock AI product success with real-world insights and strategies
Created by Irene Bratsis
Explore how to bridge the gap between AI technology and business needs in product management. Gain practical strategies for building AI-driven products and learn how to navigate ethical and technical challenges. Discover actionable insights to help you lead successful AI product initiatives.
Packt | Nov 2024 | 488 min
What You Will Learn
You will start by exploring core AI concepts and terminology, then move into practical strategies for integrating AI into new or existing products. Real-world examples and case studies help you connect theory with practice. Along the way, you will gain tools for managing teams, aligning strategy, and ensuring responsible AI development.
Key Features
- Apply structured frameworks to discover, validate, and execute AI product ideas
- Translate AI capabilities into business value and real-world product solutions
- Build responsible AI products by understanding ethics, bias, and compliance
Target Audience
Designed for product managers, AI strategists, and business leaders with a basic understanding of AI. If you want to connect AI capabilities with business goals, optimize AI/ML applications, or make data-driven decisions, you will find practical value here. Engineers, designers, and executives looking to scale AI products will also benefit from these insights.
