The podcast explores the nuances of AI product management, distinguishing between traditional PM roles with added AI features and AI-native PM positions where AI is the core product. Jyothi Nookula, an experienced AI PM from Meta, Amazon, and Netflix, outlines a roadmap for aspiring AI PMs, emphasizing the importance of understanding AI fundamentals, data strategies, and probabilistic behaviors of AI products. She highlights the different layers of AI PM roles—application, platform, and infrastructure—and the varying levels of technical expertise required. The discussion covers when to use AI versus heuristics, selecting appropriate AI techniques (ML, deep learning, GenAI), and the critical concepts of AI agents, prompt engineering, context engineering, and RAG systems, providing practical examples and hands-on demonstrations using tools like N8n and Langflow.
Part 1: Defining AI PM Roles and Landscape
Part 2: Core Concepts and Strategic Frameworks
Part 3: AI Agents, Workflows, and Prompting
Part 4: RAG Systems and Technical Implementation
Part 5: Career Development and Industry Insights
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