Foundations of AI Product Management

This unit introduces core concepts that product managers need to guide AI-enabled products, including the distinction between AI and ML, the machine learning lifecycle, and the complementary responsibilities of shaping the AI user experience and managing the AI foundation. Learners will also practice identifying high-value product use cases and linking model performance to business impact to prepare for detailed design and implementation in subsequent units.

Learning Objectives

• Analyze core differences between artificial intelligence and machine learning and classify common model types and development stages applicable to product decisions
• Demonstrate the ability to design an appropriate training, validation, and testing strategy for a given dataset and justify split and evaluation choices based on intended product outcomes
• Apply product management responsibilities by creating a roles-and-responsibilities plan that balances shaping the AI user experience with building and managing the technical AI foundation for a sample product scenario
• Evaluate potential AI use cases within an existing product, prioritize them by feasibility and business impact, and select corresponding model performance and business metrics to measure success