Most PMs use ChatGPT or Claude as a smarter Google. That is the floor. The ceiling is using AI as a research synthesiser, a PRD co-author, a prioritisation framework partner, a stakeholder-message drafter, and a meeting-debrief tool, all chained together with consistent context. The gap between floor and ceiling is mostly workflow, not tooling.
Course objectives
Target audiencePMs from associate to senior level, across B2B and consumer. APMs and senior APMs welcome.
Prerequisites
Where AI helps a PM and where it does not. The honest version. AI accelerates synthesis, drafting, structured analysis. AI does not replace customer access, judgement, or political context. Workflow map: which weekly tasks AI is good at, which it should never own.
Research synthesis. Interview transcripts, support tickets, sales-call notes, NPS verbatims. The JTBD extraction prompt. The contradiction-finding prompt. The signal-vs-noise prompt. Lab: each participant runs synthesis on a real research artifact from their own work.
PRD drafting with AI. The PRD remains the PM's document. AI co-authors specific sections (background, alternatives considered, edge cases, FAQ) and helps stress-test the rest. The trap: letting AI's plausible-but-shallow framing become your framing. Lab: each participant drafts one section of a real PRD using AI and the room reviews.
Market and competitive research. Perplexity, NotebookLM, ChatGPT Deep Research, Claude with web access. Citation hygiene. Source quality. The hallucination trap when sources are paywalled.
Lab: each participant runs a competitor scan with citations.Module 5. Persistent product context. Claude Projects, ChatGPT Projects, NotebookLM as workspaces that hold context across sessions. The PRD library, the customer-quote library, the metric-definition library. Why a PM with persistent context outperforms a PM who re-explains the product every prompt.
Lab: each participant sets up one persistent workspace for their actual product.
Stakeholder communication. Pre-meeting briefs. Counter-argument generation. Tailored messages for different audiences (engineering, design, exec, sales). The honest tone trap (AI drafts read like AI drafts). Lab: each participant prepares one real upcoming meeting using AI.
Duration: 1 day
Price: 10 900 NOK
Language: English
Format: Classroom, virtual classroom, or in-company
Hva er AI for Product Managers Foundations?
AI for Product Managers Foundations er et introduksjonskurs som gir produktledere en praktisk og strategisk forståelse av hvordan kunstig intelligens påvirker produktutvikling, prioriteringer og arbeidsprosesser.
Hvem passer kurset for?
Kurset passer for produktledere, product owners, prosjektledere og andre som jobber med produktutvikling og ønsker å forstå hvordan AI kan brukes i produktarbeid.
Trenger jeg teknisk bakgrunn for å delta?
Nei, kurset krever ingen teknisk erfaring og er tilpasset produktroller og forretningsorienterte deltakere.
Er kurset praktisk rettet?
Ja, kurset kombinerer strategisk forståelse med praktiske eksempler på hvordan AI brukes i produktutvikling, analyse, prioritering og beslutningsprosesser.
Hva lærer jeg som er nyttig i praksis?
Du lærer hvordan AI kan brukes i produktarbeid, hvordan AI påvirker produktstrategi og arbeidsflyt, og hvordan produktledere kan samarbeide med tekniske team i utvikling av AI-drevne løsninger. AI spiller en stadig større rolle i produktledelse og beslutningsprosesser.
