AI Product Manager 2026: Build Real Generative AI Products

About this course

Most "AI for PMs" content stops at theory. This course doesn't.

Everyone keeps telling Product Managers to "learn AI." Almost nobody tells you what that actually means.

It doesn't mean memorizing buzzwords or sitting through another "future of AI" keynote. It means understanding how AI really works- tokens, prompts, models, RAG - well enough to make real product decisions. And then proving it by building and shipping real products yourself.

That's exactly what you'll do here.

This is a complete, hands-on program. You'll go from product fundamentals all the way to building, shipping, and designing real AI products - with no engineering background required. Everything is taught from zero. Here's the journey:1. Think like a sharp PM. Start with what a product is and what a PM actually does, then master the mental models the best PMs rely on — first-principles and systems thinking, escaping your own bias, inversion, and finding the real problem. Then turn ideas into decisions: personas, the MVP mindset, RICE prioritization, PRDs engineers love, and metrics that matter.2. Understand how AI actually works. Go deep on LLMs in plain English - tokens, context windows, and memory; prompt engineering; embeddings and vector databases; choosing the right model; and RAG, giving an AI your own knowledge.3. Write your first code — and your first AI output. Never programmed? You'll learn Python from scratch - variables, loops, dictionaries, JSON, and functions — then make real calls to an AI model and control its temperature, tokens, and structured output.4. Build and ship real products with Claude Code. Install Claude Code, plan before you build, and create a working app. Then take it live: API keys, running locally, pushing to GitHub, and deploying to production with Vercel, Neon, and Clerk — working alongside the Claude desktop app and Cursor IDE.5. Automate your work and de

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