Academy / Business & Leaders

Path 5 · Course 2 · For product managers and owners

AI Product Management

Build AI products people trust and use: decide when AI is the right answer, design for uncertainty and errors, specify quality with evaluations, launch safely, and keep improving after release.

📘 6 modules⏱ About 3.5 hours✅ Knowledge check per module🎓 Final assessment & certificate🎯 Basic AI literacy

0 of 6 modules complete

Start Module 1 Final assessment

Modules

  1. 1

    What makes AI products different

    Probabilistic behaviour, the AI PM's extra responsibilities, the quality–cost–latency triangle, and common AI feature patterns.

    25 min
  2. 2

    Discovery: the right problem

    User problems before technology, when AI helps, automate vs augment, problem framing, and fast prototyping with real inputs.

    25 min
  3. 3

    Designing AI experiences

    Mental models and expectations, designing for errors, levels of human in the loop, useful feedback, and choosing the right interface.

    30 min
  4. 4

    Specifying quality with evals

    Evaluation sets as specifications, building and grading them, acceptance criteria with must-nevers, and post-launch success metrics.

    30 min
  5. 5

    Building and launching

    Experimental delivery, the improvement ladder, guardrails, staged launches and A/B tests, and unit economics.

    30 min
  6. 6

    Operating and improving

    Post-launch monitoring, the improvement loop and data flywheel, incident handling, responsible AI as a requirement, and planning amid fast model change.

    30 min