AI isn’t replacing project managers. It’s raising the bar. The PMs ahead of the curve aren’t reading opinion pieces about the future — they’ve already wired a handful of tools into Monday morning. This day exists for the rest of us.
Status decks, meeting notes, risk write-ups, retro prep — the reporting tax drops from hours to minutes, and the output is, measurably, sharper.
Prompt craft, AI workflow design and Copilot experience are moving from “nice-to-have” to baseline — especially at senior levels.
The AI-PMPO badge, co-issued with the American School of AI, gives hiring managers a concrete signal that you can lead AI-native product work.
Eight hours, live, with artefacts you can use at work the following Monday. No “twelve-week journey” — just signal, not noise.
Live, instructor-led, one day. Every module ends with a prompt pack, a template set and a real artefact you keep. No slides you’ll never open again.
What AI is (and isn’t) for product work. Model landscape, capabilities, limits, and the one-sentence framework for when to reach for AI across discovery, strategy and delivery.
Market sizing and competitor scans in a single sitting with Perplexity and Claude. Opportunity framing and problem statements your team will actually align on.
Eighteen interview transcripts into clustered themes, jobs-to-be-done and opportunity sizing in a single afternoon.
Outcomes over outputs. North-star metrics, Now / Next / Later roadmaps and AI-assisted prioritization that hold up to exec scrutiny.
Problem statement to an INVEST-clean user story with acceptance criteria and edge cases — so engineering can estimate in a single pass.
Backlog refinement, story splitting, AI for scrum ceremonies, and the dual-track model that keeps discovery running alongside delivery.
Positioning briefs, launch plans, A/B test design, and AI-drafted release notes that marketing, sales and support can all work from.
AI governance frameworks, bias and hallucination risk, data-handling rules, and the ethical guardrails that keep AI-native product work defensible.
AI governance, bias and privacy guardrails. Then a live capstone: one end-to-end product case, start to finish, with your prompt cheat-sheet for Monday.
You won’t walk out locked to one vendor. You’ll walk out knowing which tool to pull for which job.
Free tiers of the major models are sufficient for every lab. Paid tiers unlock a richer experience but are never required.
Finish the capstone and your AI-PMPOPO certificate is issued — shareable, verifiable, co-issued by Skillbook Academy and the American School of Artificial Intelligence.
Weekend and weekday batches, multiple time zones. Every module is live, instructor-led, and recorded for your review.
I rebuilt my entire discovery workflow around the prompts from this day. Interview synthesis that took two days now takes two hours.Sarah R.Senior Product Manager · SaaS
The PRD and acceptance-criteria session alone was worth the cost of the program. My engineers stopped bouncing specs back within a week.Marcus T.Product Owner · FinTech
Practical, zero fluff. I walked out with a Productboard and AI workflow that cut our roadmap prep from a day to about thirty minutes.Priya K.Group Product Manager · Consumer
Small cohort, very specific. My badge lives on my LinkedIn — I’ve had three product-role conversations start with it.Amara N.Associate PM · Consumer Apps
Fifty-two thousand professionals have trained with Skillbook Academy. The next cohort is a click away.