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AI Product Management

A ~36-minute playbook for AI PMs, heads of product, engineering leaders. 5 capabilities (JTBD · eval harnesses · telemetry · guardrails · honest communication). 3 anti-patterns. 12-month roadmap.

8

Chapters

~36 min

Duration

Intermediate

Level

No

Certification

Who this is for

For product managers, heads of product, and engineering leaders building AI features into products customers actually use.

How this course works

  • 8 audio-narrated slide chapters · ~36 min of focused content
  • Capstone with interactive Markdown builder you take to your team
  • Trust trip-wires on every play — what not to cross
  • Free verifiable certificate on completion

What you'll walk out with

Specific outcomes from this course — no fluff.

  • AI products are evaluated like products — not like models. Users care about their job, not your benchmarks
  • 5 capabilities for AI PMs — JTBD framing · eval harnesses · telemetry · guardrails · honest communication
  • 3 anti-patterns to avoid — chasing benchmarks, shipping without eval + telemetry, adding AI to features that worked fine without it
  • Frame each AI feature with the 3-part frame — user job · success criterion · failure modes — in 3 sentences
  • Build eval harnesses across 3 categories — task-specific, quality + safety, production telemetry — refreshed monthly
  • Use the acceptance rate metric as your primary AI product signal, with privacy-reviewed telemetry
  • Refusal as feature — narrow products that do their job well beat broad products that do many jobs poorly
  • Model unit economics before launch (inference is not free) and adopt an honest communication posture (Air Canada cross-domain)

Want this delivered inside your organisation?

The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.