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

Transform from an AI-curious PM to a confident AI product leader who ships real solutions in 4 weeks

Are you a product manager with basic AI knowledge but struggling to turn concepts into actual products?

Maybe you've wondered...

1. How do I know if my AI product is actually performing well when? How do I measure impact?

2. If I change the model or prompt, how do I ensure I'm not breaking something else?

3. Why do my AI prototypes impress in demos but break with real users?

4. How do I translate AI buzzwords (RAG, MCP) into actual product features my team can build?

5. What separates AI products that ship successfully (i.e. Cursor, Bolt) from those that suck?

6. How do I get my team on board to evaluate AI products when success is subjective and context-dependent?

Does this sound familiar?

- You've got the AI buzzwords down. You've built impressive demos. You've read all the blogs about prompt engineering.

But when it comes to actually shipping AI products that customers love? You hit a wall.

- Your stakeholders want an "AI strategy" but can't articulate what success looks like. Your demos wow executives but break under real-world conditions. You've got no reliable way to measure if your AI is actually performing well or just getting lucky.

- While your peers struggle with the same challenges, the rare PMs who consistently ship successful AI products are becoming the most valuable players in their organizations.

You're not alone. While many PMs understand AI fundamentals, there's a massive gap between knowing buzzwords and successfully shipping AI solutions that solve real problems.

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WHAT TO EXPECT

This course will provide you with hands-on experience. Get ready to build real tools, evaluation frameworks, and develop implementation plans! 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.

1. Transform your role – Evolve from an AI-curious PM to a confident AI product leader who ships real, customer-loved solutions.

2. Bridge the “buzzword → shipping” gap – Move beyond knowing RAG, agents, and LLMs to deploying features that solve actual problems.

3. 4-week live sprint – Eight interactive sessions packed with vibe-coding labs, eval workshops, and peer feedback loops.

4. Built by a practitioner – Learn the playbook I used at Arize AI (supports companies like Uber, Instacart, Discord) and Spotify to help hundreds of engineers launch AI-powered products.

5. Hands-on from day one – You’ll prototype, measure, harden, and ship—not just watch slides.

6. Career-defining skill set – Master the tactics that separate PMs who stall in experimentation from those who deliver measurable business impact.

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.

AFTER THIS COURSE:

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

2. Define Your H1/H2 AI Roadmap. Lead AI product strategy with confidence and credibility

3. Evaluate AI product performance with robust metrics beyond simple accuracy. 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.

4. Take prototypes to production with clear implementation plans

5. Collaborate effectively with AI engineers, executives and stakeholders. Learn how to identify great AI PMs.