Evaluate AI quality
Define and measure AI feature quality — the metric conversations PMs now own.
What product managers build
Skills you build, not just hear about.
Global, live, role-focused
Online in English, evenings and weekends, built for working PMs anywhere.
Prototype without engineers
Build working AI prototypes with no-/low-code tools to validate before you commit a team.
Scope AI that works
Learn what LLMs can and can't do reliably, so your specs are grounded, not hype.
- an evaluation rubric for AI output quality
- a portfolio piece that proves AI-product judgement
- a spec grounded in what AI can actually do
- a working AI feature prototype to validate an idea
The build-first idea
You'll have receipts, not just notes.
Most courses hand you slides; ONROL hands you a track record. You ship real AI — automations, agents, apps — throughout, and keep every piece. The result is demonstrable capability: things you made that work, not a list of topics you sat through.
Where to take this
Where to take this at ONROL.
AI Architect
The advanced track — AI architecture, agents, RAG and production-grade systems.
Explore program →AI Generalist
The 3-month flagship — build 5+ real AI systems and a portfolio, no coding required.
Explore program →AI Career Accelerator
A 21-day career-focused entry — practical AI skills, real projects and job readiness.
Explore program →Good to know
Straight answers.
Is it theory or hands-on?
Hands-on — you build real AI prototypes, not just read about them.
Can I take it from any country?
Yes — live online in English, cohorts across time zones.
What will I be able to do after?
Scope, prototype and evaluate AI features, and lead AI product conversations with credibility.
I'm non-technical — is that fine?
Yes. It's built for PMs; you prototype with no-code AI tools, not code.
Join the next cohort
Start here. One short form.
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