AI Product Manager Path
Product managers and aspiring PMs who want to lead AI products from opportunity to responsible launch.
4 stepsHands-on labsCapstone + portfolioA named role
Assessed work, a capstone and a verified credential
What the path adds
Membership covers foundation reading. A path is where the work is assessed and the credential is earned.
- Marked work
- Your written submissions are assessed against a rubric, not ticked off.
- Cumulative assessment
- One exam across the whole path, not a quiz per course.
- Capstone
- A final piece of real work, reviewed.
- Portfolio artefact
- Something you can put in front of a hiring manager.
- Verified credential
- A Professional Path Credential with a public verification page.
By the end, you can
What this path makes you able to do.
- Spot high-value AI opportunities and judge their feasibility
- Run the AI product lifecycle with data and ML teams and the right metrics
- Set AI product strategy and ship responsibly with ethics and governance
A guided journey, not a pile of courses
The 4-step path.
- 1View course
AI Product Management Foundations
The discipline and opportunity ID
- 2View course
Managing AI Product Development
Lifecycle, metrics, and AI UX
- 3View course
AI Product Strategy & Ethics
Strategy, GTM, responsible AI
Capstone: pitch and plan an AI product
An AI opportunity assessment, a product plan with success metrics and a data strategy, and a responsible-AI and go-to-market plan
Every path is backed by
Hands-on labs. A final exam & capstone. A real role.
You finish with a portfolio you can show, a cumulative exam, and the skills to land the AI Product Manager role.
Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.