AI-Enhanced Product Management Certification by AI Product Academy

Learn every stage of the AI lifecycle — from opportunity discovery to launch — and how decisions flow between them.

Use a decision framework to judge where AI genuinely belongs in a roadmap (and where it's theater).

Apply the full lifecycle to a real product example before running it yourself.

Turn Perplexity and NotebookLM into your research team: market scans, competitor teardowns, and user-insight synthesis in hours, not weeks.

Generate and stress-test product ideas with structured AI ideation workflows.

Score opportunities with an AI-assisted prioritization framework you'll reuse forever.

Draft, critique, and iterate PRDs with AI — using templates refined across 20,000+ students.

Build your own reusable prompt library and skills so every future doc starts at 80% done.

Learn the review workflow: how to use AI as a red-team on your own thinking, not just a typist.

Go from PRD to working prototype with Claude Code and Lovable/v0 — no coding background needed.

Connect your prototype to real data and tools so it demos like a product, not a mockup.

Know the handoff line: what PMs should build themselves vs. bring to engineering.

Understand the metrics that matter for AI products and when to use each.

Run your first evals — define success criteria, catch failure modes, and defend quality in a roadmap review.

Use technical checklists to pressure-test model behavior, data needs, and edge cases.

Take one real product idea through the entire AI-native lifecycle — research → PRD → prototype → eval → launch.

Pitch your product live to a panel of VCs at Demo Slam, with pitch-craft coaching beforehand.

Leave with a launched product, the AI-Native PM Certification, and interview frameworks for AI PM roles