What you'll learn:
- Understand what a PM really does day to day
- See how PM, design & engineering ship products together
- Learn why AI makes PMs more powerful, not obsolete
- Apply first-principles and systems thinking to product decisions
- Beat your own bias and find the real problem to solve
- Build personas that actually drive decisions
- Ship smarter with the MVP mindset
- Prioritize features with the RICE framework
- Write a PRD engineers love to build
- Pick metrics that matter, skip the vanity numbers
- Understand how LLMs really work: tokens, context, memory
- Write prompts that actually get results
- Demystify embeddings, vector databases, and RAG
- Choose the right LLM for your product and budget
- Write your first Python - variables, loops, and functions
- Make real AI calls and control temperature, tokens & output
- Build real products with Claude Code - no engineering team
- Plan before you build with Claude Code's Plan Mode
- Run locally, push to GitHub, and deploy live on Vercel
- Wire up a real stack: Vercel, Neon, and Clerk
- Create custom Skills to automate your PM workflows
- Design polished product screens with Claude Design
- Build a complete AI Audio Tour app, end to end
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 design like a pro. Build custom Claude Code Skills for your repeat PM workflows, apply the software development lifecycle to ship faster, and use Claude Design to turn rough ideas into polished product screens — no designer needed.
Your capstone: a real AI product. Bring it all together to build Guide AI, an AI Audio Tour app — snap a photo of a landmark, and your app generates a narrated audio tour using Vision AI and text-to-speech, end to end.
This isn't a course about AI. It's a course where you do AI.
Product Managers, aspiring PMs, designers, founders — if you've ever nodded along in an AI conversation you didn't fully follow, this closes that gap for good. Most courses leave you with notes. This one leaves you with shipped products, real skills, and a portfolio-ready AI app.
Hit enroll, and let's build your first AI product together - starting in topic one.
