AI Product Management
Product management for AI-native products — PRDs, evals, and roadmapping when the core feature is a model, not a form.
One-time course fee
Who should take this?
Product managers, consultants, operators, founders, and cross-functional leaders shaping AI-enabled products.
Capability developed
Frame AI opportunities, write implementable requirements, define evaluations, and make responsible roadmap trade-offs.
Professional application
AI product discovery, advisory, evaluation planning, or delivery leadership.
What’s inside this track
- 1AI Product Fundamentals
Build: Write a one-page AI feature brief for a real product idea.
Evidence: Can pitch an AI feature without overselling what the model can actually do.
- 2Writing AI PRDs
Build: A full PRD for an LLM-powered feature.
Evidence: Engineering can build from the spec without guessing intent.
- 3Evals & Metrics
Build: Define the eval and success metrics for the Week 2 PRD.
Evidence: Can tell the difference between 'the demo looked good' and 'this is actually working.'
- 4Roadmap, Positioning & Interviews
Build: Capstone: a 2-quarter AI product roadmap with tradeoffs justified.
Evidence: Ready to operate as — or hire and manage — an AI PM in a real organization.
What you get
What you will own
Not a promise — a concrete list of what you personally build and can show a buyer, pulled from this course’s real curriculum.
- A working project: Write a one-page AI feature brief for a real product idea.
- A working project: A full PRD for an LLM-powered feature.
- A working project: Define the eval and success metrics for the Week 2 PRD.
- A working project: Capstone: a 2-quarter AI product roadmap with tradeoffs justified.
- A completed capstone: AI Feature Launch Proposal & Roadmap Defense, scored across multiple dimensions
- A portfolio entry documenting how you built it, not just that you finished
- Verified skill evidence — tied to real work, not a self-rating
What you’ll prove — and own — by the end
Completion isn’t the finish line. This is what turns the course into evidence you can actually use.
Personalised from day one
A short entry diagnostic flags which modules to move through quickly and which to slow down on — the full curriculum stays available either way.
Evidence, not checkmarks
Skills track through a real mastery ladder — module completed, exercise practiced, project shipped — not just “lesson viewed.”
Your Final real-world project, AI-defended
AI Feature Launch Proposal & Roadmap Defense — submit real work, defend your decisions to an AI interviewer, get scored feedback across multiple dimensions.
A portfolio you can use today
Turn a finished project into a case study, resume bullets, and an interview story — drafted from your real work, yours to review before you use it anywhere.
Connect this course to practical work
See how Ropes links a skill to a business problem, portfolio proof, a bounded service, and responsible client delivery. No client or income outcome is guaranteed.
Earnings potential
A simple illustration of how freelancers commonly structure retainer pricing once they’re taking on client work.
Fractional AI PM engagement
Illustrative example — your results will vary based on niche, effort, and client base.
Industry snapshot
Real, sourced research — current tools, market signal, and named case studies, each with a citation. Not marketing copy.