Become an AI product manager
Decide what AI product to build, for whom, and how to measure it.
For: Product managers, founders and analysts who guide AI features from idea to launch.
- 10 steps
- stops on the route
- 10 lessons
- you finish in total
- 1 course
- the lessons come from
- ~3.1h reading
- all lessons together
Finish every lesson to earn a certificate of completion that anyone can verify. Jump to the certificate ↓
Honest note: The ten steps follow the AI Product Manager course. Interface design and user research are covered at the level a PM needs, not in full depth. Extra reading from other courses is listed at the end.
How to read this page. A roadmap is a route made of 10 steps. Each step has one lesson. There are 10 lessons in total. Extra reading is listed at the end of the page. It does not count towards your progress.
- AI Product Manager0/10 done
Certificate of completion
Earn your AI product manager certificate
Verified edition
Mark every lesson in this roadmap complete. You have finished 0 of 10. 10 to go.
See a sample certificate. Anyone can check a certificate with its code at /verify. It records course completion. It is not an exam or an accredited qualification.
- 1
Step 1 of 10
Understand the role
Explain what changes when the product is AI, and what the role covers.
Lessons0/1 doneBefore you move on: Use an AI product for an hour, note ten wrong or odd results and how it handled each.
- 2
Step 2 of 10
Find the right problem
Learn the user's job, write the problem down and test ideas cheaply.
Lessons0/1 doneBefore you move on: Interview one person, write a problem statement with numbers and run a prompt prototype.
- 3
Step 3 of 10
Judge if AI is the right tool
Test feasibility in a day and choose the right level of automation.
Lessons0/1 doneBefore you move on: Fill in the feasibility questions for one idea, and choose a launch level with your reason.
- 4
Step 4 of 10
Write requirements and an evaluation plan
Specify behavior with examples, a rubric, a test set and a launch bar.
Lessons0/1 doneBefore you move on: Write ten behavior examples, a rubric and a launch bar with numbers.
- 5
Step 5 of 10
Design the experience
Set expectations, show your work, handle doubt and design the handoff.
Lessons0/1 doneBefore you move on: Describe five states of one feature with the exact words users see.
- 6
Step 6 of 10
Balance quality, cost and speed
Choose the right point in the triangle and do the unit economics.
Lessons0/1 doneBefore you move on: Work out cost per task, value per task and a heavy-user case for one feature.
- 7
Step 7 of 10
Launch safely
Roll out in stages with gates, experiments and a kill switch.
Lessons0/1 doneBefore you move on: Write a five-stage launch plan with a numeric gate for each stage.
- 8
Step 8 of 10
Measure and learn
Track use, quality, trust and value, and turn feedback into the roadmap.
Lessons0/1 doneBefore you move on: Choose two metrics from each group with a guard, and write a weekly review agenda.
- 9
Step 9 of 10
Work with engineers, legal and leaders
Partner well, write decisions down and plan under uncertainty.
Before you move on: Write a one-page decision note and a stakeholder plan.
- 10
Step 10 of 10
Get interview-ready
Answer design and metrics questions with a method, and show real artifacts.
Lessons0/1 doneBefore you move on: Answer the teacher essay assistant question aloud in ten minutes and fix your weakest step.
Hands-on lab · build confidence
Spec an AI essay-feedback feature and plan its launch
Frame the problem, test feasibility, write the PRD with an evaluation plan, and plan metrics and launch.
No code · 5 to 7 hours
Optional
Want to go further?
These lessons come from other courses. They are extra reading. They do not count towards your progress or the certificate.
- ○Structured Prompting: Getting Consistent Output on the First TryCourse: AI Agent User
- ○The Business Case: Costs, Benefits & PaybackCourse: AI Transformation Strategist
- ○Pilots, Scaling & the Operating ModelCourse: AI Transformation Strategist
- ○Scoping, Success Numbers & the One-Page SpecCourse: Forward Deployed Engineer
- ○Cost, Usage & Resource TrackingCourse: Agent Ops & Governance
- ○Production-Readiness ReviewCourse: Agent Ops & Governance
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