🚨 Independent offering. This course is not affiliated with, endorsed by, or related to any of the instructor’s current or past employers.

This course is a practical roadmap for PMs who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success.

This is best suited for PMs who have at least a theoretical grasp on the latest AI concepts (RAG, MCP, Evals) and who have played around with prototyping tools like Replit, Bolt but are looking to bring AI features from prototype to production inside their companies.

At the end of this course, you’ll leave able to: 

- Build and deploy functional AI agents for your personal and team workflows.

- Define Your H1/H2 AI Roadmap, and lead AI product strategy with confidence and credibility.

- Evaluate AI product performance with robust metrics beyond simple accuracy, or toxicity. After years of building AI products, I’ve noticed something surprising: every PM building with generative AI obsesses over crafting better prompts and using the latest LLM, yet almost no one masters the hidden lever behind every exceptional AI product: evaluations.

- Take prototypes to production with clear implementation plans.

- Collaborate effectively with AI engineers, executives and stakeholders. 

- Learn how to identify and hire great AI PMs for your team.

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WHAT TO EXPECT

1. We’ll prototype an AI product (I.e. use code gen with Cursor / Replit + langgraph/crew) to build an agentic application/system, relevant to your work or life. If you don’t have an idea, I’ll provide one/walk through one. We’ll build it together.

2. We’ll breakdown how code gen agents work to understand the inner workings of an AI product/feature (main components).

Evals are the hidden lever behind every exceptional AI product. We’ll explore this in practice by running evals on your prototype and iterating on the prompt.

3. We’ll talk about best practices for getting to production, what to think about when you have real user data, how to work together with an AI team. 

4. We’ll turn your prototype + eval system + learnings into an “AI strategy doc/artifact” that you could use to convey this ai feature to others on your team/stakeholders

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This course will be very hands-on – you’ll build real tools, evaluation frameworks, and develop implementation plans! 

- 4 week live sprint: 8 interactive live sessions packed with vibe-coding labs, eval workshops, and peer feedback loops

All sessions will be recorded and available to students asynchronously.

- Built by and led by a current practitioner – I’m sharing the playbook I use as Head of Product at Arize AI (supports companies like Uber, Instacart, Discord, Reddit) and Spotify to help hundreds of engineers launch AI-powered products.

- I'll also host a dedicated Slack community where you can communicate with me and other participants. 

- All sessions will be recorded and available to students asynchronously.

This is not a theoretical course about AI concepts—it's a practical roadmap for product managers who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success.