Academy / Business & Leaders

Path 5 · Course 4 · For product managers ready to go further

Advanced AI Product Management

Go beyond the basics of AI product management: build defensible AI strategy, model costs and price AI features, ship agentic products safely, prove value with the right metrics, manage fast-changing models, and write AI PRDs that hold up in interviews and in production.

📘 6 modules⏱ About 4 hours✅ Knowledge check per module🎓 Final assessment & certificate🎯 AI Product Management (recommended)

0 of 6 modules complete

Start Module 1 Final assessment

Modules

  1. 1

    AI product strategy and defensibility

    Why prompts aren't a moat, the five sources of durable advantage, AI-added vs AI-native, building on a rising capability curve, and a one-page AI strategy.

    30 min
  2. 2

    AI unit economics and pricing

    The anatomy of AI cost, a worked cost model, cost levers, gross margin and heavy users, and pricing models from seat-based to outcome-based.

    35 min
  3. 3

    Agentic AI products

    Workflows vs agents, scoping an agent like a job description, risk-rated tools and autonomy, trust design, agent metrics and MCP.

    35 min
  4. 4

    Metrics and experimentation for AI

    The AI metrics tree, offline vs online evaluation, A/B testing non-deterministic features, proving value honestly, and reporting to leadership.

    30 min
  5. 5

    Models, roadmaps and AI product debt

    Model lifecycles and deprecations, model selection criteria, a migration playbook, three-horizon roadmaps with kill criteria, and AI product debt.

    30 min
  6. 6

    AI product practice: PRDs, teams, governance and career

    The AI PRD, team rituals like output reviews and error analysis, governance checkpoints across the lifecycle, and building an AI PM portfolio.

    35 min
New to AI product management?

Start with AI Product Management — what makes AI products different, discovery, designing for errors, evals and safe launches. This course builds directly on it.