AI Product Management Specialization
by Duke University
Duke University's AI Product Management Specialization teaches you how to manage, evaluate, and lead AI projects without needing to write the code yourself. It covers how to define AI product requirements, evaluate model performance, understand the machine learning lifecycle, and make ethical decisions about AI deployment. This is the course for managers, product managers, and business leaders who need to work effectively alongside AI engineers and make sound AI strategy decisions.
What you will learn
- How to define and scope AI products: what makes a good AI use case versus a bad one
- How to evaluate machine learning model performance without being a technical expert
- The machine learning lifecycle from data collection through deployment and monitoring
- How to manage AI teams and communicate across technical and business stakeholders
- Ethical AI product decisions: fairness, accountability, and responsible deployment
Who is this for
- Product managers whose products use or will use AI in some form
- Business managers who need to work effectively with AI engineering teams
- Team leaders responsible for AI adoption decisions in their department
- Consultants and strategists advising clients on AI strategy and implementation
Why we recommend it
- 1From Duke University — academic rigour with real business decision-making focus
- 2No coding required — designed for managers and strategists, not engineers
- 3Covers the full AI lifecycle: from business case to deployment to ongoing monitoring
- 4Directly applicable to anyone managing AI projects or AI-powered products
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