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PM roadmap
You do not need a CS degree. This hub maps what to learn first, what to defer, and how Verlin Labs PMs go from tool demos to shipped MVPs in 16 days.
Answers: What is the AI learning roadmap for non-technical product managers?
Learn how LLMs behave: tokens, context limits, hallucinations, and when pattern-matching fluency is not factual accuracy. Mental models turn every vendor announcement into a familiar trade-off.
Build a scorecard: privacy, integration, verifiability, latency, cost at your volume, and failure modes. Ask what happens when retrieval is empty and who owns prompt versioning after model updates.
PMs prototype faster with AI-assisted builders. The skill is constraints: user flow, edge cases, and acceptance criteria - not writing every line of production code.
The live program is 16 days with capstone demo day. Many PMs start with the free 2-hour session to experience pacing before enrolling.
Familiarity with product workflows helps, but we teach AI-specific evaluation and prototyping - including when to pair with engineering and when to stop at a learning prototype.
About the instructors
Live instruction, curriculum design, and corporate workshops - one educator across every track.
Loading image: Professional headshot of Aman Munjal, Founder and Lead Trainer at Verlin Labs…Aman Munjal
Founder & Lead Trainer
I started Verlin Labs because I was tired of watching smart people nod along to AI explanations they did not actually follow. I have spent over a decade as a PM working on AI and fintech products, and I kept seeing the same gap: people who could use the tools but could not reason about them. Every program here is built around mental models first, so what you learn still holds up after the session ends and the tool has changed.