The AI Product Manager Course · 60 Days · Free

Become an AI Product Manager in 60 days.

Real code labs. Real LLM APIs. Real PRDs. Built by a working AI PM, not a bootcamp. Every day moves you from concept to shipped AI feature.

Start Day 1 → See curriculum
60
Days
240+
Hands-on tasks
15+
Live APIs
$0
Cost
Outcomes

What you'll be able to do by Day 60.

✓
Write AI PRDs that ship
Write model-backed feature specs covering evals, fallback behavior, cost budgets, latency targets, and safety guardrails.
✓
Build and run evals
Design offline and online evaluation pipelines. Know when to trust a model metric and when to ship a human-label set.
✓
Manage LLM economics
Calculate cost-per-request, model-route for cost/quality tradeoffs, and forecast AI infrastructure spend.
✓
Ship real AI features
You'll have 10+ shipped AI labs in your portfolio — RAG, agents, evals, guardrails, fine-tuning.
✓
Nail AI PM interviews
Walk into any AI PM loop with structured answers for case studies, product thinking, and technical depth.
✓
Build AI PM judgment
Know when to use RAG vs fine-tuning, agents vs workflows, small models vs frontier — with economic reasoning.
60-Day Curriculum

Four phases. Built in public. Zero fluff.

The curriculum mirrors a real AI PM onboarding at a modern AI company — fundamentals first, then hands-on building, then evals and economics, then interview prep.

Phase 1 · Days 1–15
AI Foundations for PMs
LLM fundamentals, prompt engineering, the model landscape, tokenization, context windows, and writing your first AI PRDs.
Phase 2 · Days 16–30
Building AI Features
RAG systems, agents, tool use, function calling, structured outputs, and shipping real user-facing AI labs.
Phase 3 · Days 31–45
Evals & Economics
Eval design, LLM-as-judge, human-label workflows, cost modeling, model routing, and AI infrastructure decisions.
Phase 4 · Days 46–60
Strategy & Interviews
AI product strategy, competitive analysis of frontier labs, AI PM case studies, and end-to-end interview loop prep.

Explore the full curriculum →

Why becomeaipm

Built by a working AI PM.

Most PM courses are written by career coaches. This one is written by someone doing the job. Every framework, code lab, and interview prompt was pressure-tested in real AI PM work at a modern AI company.

You get the patterns that actually show up in Monday standups — not the theory that sounds good on LinkedIn.

About Stavan on LinkedIn →

FAQ

Questions, answered.

Is the course really free?▼
Yes, all 60 days. Sign in is required only to save your progress.
Do I need to be a developer?▼
No. The course teaches enough Python and JavaScript to ship AI features. The focus is on PM thinking, evals, and AI product strategy — not software engineering.
How long does each day take?▼
60–120 minutes. Each day has 4 tasks. You can go faster or slower — progress is saved.
What APIs will I use?▼
OpenAI, Anthropic, Google, and open-source models via hosted providers. Most labs fit within free-tier credits.
Does this help with AI PM interviews?▼
Yes. Every day ends with an interview question, and Phase 4 (Days 46–60) is dedicated to case studies and loop prep.
Can I get certified?▼
No certificates. The goal is real skill and a portfolio of shipped AI labs — which matter more in interviews than any certificate.
How is this different from Reforge, Lenny's Newsletter, or Coursera?▼
Those are discussion-based. becomeaipm is build-based. You'll ship actual AI features, not just analyze case studies.
What if I get stuck?▼
Every lab includes solutions and debugging notes. Community support via the leaderboard and contact form.
Can my company sponsor this for our PM team?▼
Yes — reach out via the contact form for team licensing and custom tracks.
Does it cover AI agents, RAG, and evals?▼
Yes — all three get dedicated days, with code labs you can run immediately.

Start Day 1 today.

Free. 60 days. Real AI product management.

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Last reviewed April 2026 by Stavan Mehta — send feedback