The course programme

Learn to make the call.

Work through the decisions an AI product manager owns. Diagnose a failed answer, defend a launch, or decide what an agent may do alone. Then put your reasoning under pressure in an applied project.

Start with the work ahead

Build your foundations, rehearse an interview, or lead an AI product. Choose the course that fits your next decision.

3 courses · 64 lessons

5 public sample lessons

Original practice questions with worked answers and teaching rubrics. Our editorial policy explains the sources, review process and limits.

Choose your course

Read a public lesson first. More samples are free with sign-in; Premium includes the remaining lessons and projects.

Course 01beginner

AI Foundations for Product Managers

Make product decisions with a working understanding of models, retrieval, agents and evaluation. Build a feature brief with test cases, economics and recovery design, then practice explaining your choices. Includes a transition route for engineers and data scientists.

6 modules22 lessons~11.5 hours estimated study
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The work you will practice

  1. Change the question
  2. Understand model behavior
  3. Own the user and the number
  4. Build the evidence
  5. Build and defend a feature
  6. Lead without the keyboard

2 public lessons to try

Course 02intermediate

Cracking the AI Product Manager Interview

Practice product sense, technical discussion, evaluation, economics, system design, execution and stakeholder judgment. Follow worked cases, complete a scored take-home and defend your answers under changing constraints.

7 modules20 lessons~15 hours estimated study
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The work you will practice

  1. Read the loop
  2. Make the product call
  3. Quality and economics
  4. Handle the change
  5. Systems and agents
  6. Defend the proposal
  7. Build and close

1 public lesson to try

Course 03advanced

Building & Scaling Agentic AI Products

Lead an agent product from investment decision to operating service. Design authority and recovery, build an evaluation program, defend pricing and adoption, and present a coherent plan across product, security and finance.

6 modules22 lessons~13 hours estimated study
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The work you will practice

  1. Set direction
  2. Design agent work
  3. Build the operating system
  4. Operate the agent product
  5. Make the organization work
  6. Lead in the loop

2 public lessons to try

Leave with work you can explain.

The cases use fictional companies and explicit assumptions. Write your answer, compare it with the reference reasoning, and revise it. Self-checks and project rubrics help you find the weak parts; they do not certify hiring readiness.

Keep a reference nearby.

Use the concept library for deeper explanations, the question bank for fresh practice, and PDF guides for offline study.