Unit 1: Foundations of AI Product Management
Unit 2: Stakeholders and Success Metrics
Unit 3: Feasibility and Responsible AI
Data Science Lifecycle for AI Product Managers: From Concept to Deployment
Master the end-to-end Data Science Lifecycle from an AI Product Manager's perspective, focusing on strategic oversight, team collaboration, ethical considerations, and successful AI product delivery.
Unit 1: From Business Needs to AI Specs
Unit 2: MLOps: Bringing AI to Life