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AI training for product managers

Scope, price, evaluate, and launch AI features — including the parts most PMs get wrong: eval design, failure modes, and unit economics.

AI product work fails on judgement, not on code. This program is built around the decisions a PM actually owns: what to build, how to measure it, what it costs per user, and when a model is good enough to ship.

Where most product managers are today

  • Scoping AI features without a definition of 'good enough'
  • No cost-per-user model before launch
  • Engineering pushback you can't evaluate on technical merit

What you can do after the program

  • Written eval criteria before a single prompt is built
  • Unit economics per AI feature, modelled and defensible
  • Model selection tradeoffs you can argue with your team
  • Launch instrumentation that catches quality drift

Skills covered

Eval designModel selectionAI unit economicsRisk & governanceLaunch instrumentation

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Questions

Is this technical?

It is technically literate, not code-heavy. You will read and reason about systems; you will not be asked to build them alone.

Can my company pay?

Yes. Invoicing, POs, and volume discounts are available from five seats through our teams program.