Become a GenAI Product Manager: The Transition Guide
Your roadmap has "Add AI" written all over it, but you don't know where to start.
You feel out of your depth in meetings with ML engineers, your AI projects take 3x longer than planned, and you're terrified of launching a feature that hallucinates. This isn't a knowledge gap — it's a playbook gap. This guide is the playbook.
Inside this 86-page guide:
The exact frameworks and templates you need to lead AI product development. The AI Pattern Decision Matrix to choose between RAG, fine-tuning, and agents. The AI Feature Spec Template to write specs engineers can build immediately. The AI Project Scoping Checklist to create realistic timelines.
What you'll master:
- Master the 30 essential AI terms (and ignore the 100+ you don't need) to lead technical discussions
- Decide instantly between RAG, Fine-Tuning, and AI Agents using the AI Pattern Decision Matrix
- Write AI feature specs engineers can actually build using our proven template
- Define "good enough" for your AI features — thresholds for accuracy, latency, and cost
- Design AI experiences users trust with UX patterns for streaming and graceful fallbacks
- Scope AI projects accurately and avoid the "Data Tax" that stalls development
- Navigate trade-off conversations with ML engineers using frameworks that bridge the gap
- Land a high-paying AI PM role in 45 days by reframing your resume and portfolio
Who this is for:
Ambitious Product Managers, Senior PMs, and Product Leads who are tired of seeing "AI experience required" on job descriptions. No PhD or Python coding required.
From a Fortune 500 AI strategist trusted by 113K+ builders on YouTube and 10K+ students on Udemy.
