AI PM Crash Course: Prototyping → Observability → Evals + Prompt Engineering vs RAG vs Fine-Tuning
The Growth Podcast
In this podcast episode, Aakash Gupta interviews Aman Khan, an experienced AI product manager, to provide a crash course on essential AI PM skills. They discuss the evolving role of product managers in the age of AI, emphasizing that every PM will need to adopt AI tools and build AI features. The conversation covers five key skills: AI prototyping using tools like Cursor, observability, prompt engineering, and working with AI engineers and researchers. Aman demonstrates AI prototyping using Cursor, builds a trip planner agent, and explains the importance of tracing and evals. They also delve into the differences between fine-tuning, prompt engineering, and RAG, and Aman shares tips for AI PMs to work effectively with AI engineers and researchers, create side projects, and leverage AI as a second brain.
Part 1: Introduction to AI PM Roles
Part 2: AI Prototyping and Development
Part 3: Observability, Prompt Engineering, and Evals
Part 4: AI Tooling and Product Principles
Part 5: Collaboration and Career Advice
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