If you only have 2 hrs, this is how to become an AI PM
AI Summary
The video is a detailed crash course on AI Product Management (AIPM) skills, focusing on practical steps for product managers to adapt to AI-driven workflows and build AI-powered products. Key takeaways include: 1) Anyone can become an AI PM by adopting AI tools in daily workflows or integrating AI into products. 2) The core skillset includes AI prototyping using tools like Cursor, observability with tracing and visual debugging, and understanding AI model management techniques such as retrieval augmented generation (RAG), fine-tuning, and prompt engineering. 3) The video demonstrates how to build an agent-based trip planner using Cursor, handling dependencies, debugging, and iterating prompts to improve outputs. 4) Emphasizes the importance of evaluation (eval) metrics for continuous improvement and A/B testing of AI prompts and models. 5) Discusses working effectively with AI engineers and researchers by knowing engineering concepts and communicating product needs. 6) Advice for aspiring AIPMs includes having side projects, building AI intuition, and applying learnings consistently. The video also compares prototyping tools like Cursor, Bolt, and Lovable, highlighting their respective strengths and use cases. It concludes with career advice, noting AI PM roles are growing and often command higher salaries than traditional product management roles. The speaker offers further resources and encourages continuous learning and experimentation.