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Curated articles, videos, and courses covering LLMs, evaluation frameworks, agent architectures, AI strategy, and interview prep. No filler. Every resource is selected for practicing AI PMs.
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Tools and patterns used by AI PMs at top companies, not academic theory.
From LLM basics to agent architectures to AI PM interview strategy.
Updated monthly to reflect how fast the AI product landscape moves.
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Understand what makes AI products different from traditional software — from data dependencies to model uncertainty.
How to set up evaluation pipelines, choose metrics, and build rubrics for LLM-powered features.
Move beyond basic prompting. Learn system prompts, few-shot patterns, and how to version and test prompts in production.
What agents are, when to build them, how to scope agent-based features, and the PM pitfalls to avoid.
The decision framework every AI PM needs. 28 lessons covering when to use off-the-shelf models, fine-tune, or build custom — with real cost analysis and case studies.
A commercial briefing for leaders who need to turn Gen AI strategy, investment choices, architecture tradeoffs, governance, and workforce impact into measurable business outcomes.
Bias, fairness, transparency, and safety — practical frameworks for making ethical AI product decisions.
Communication patterns, technical review tips, and how to translate PM requirements into ML-friendly specs.
Master the four types of AI PM interview questions with worked examples, scoring rubrics, and mock walkthroughs. 25 lessons across 6 modules.
A 3-week adventure into Coding Agents. Build 4 real products using Cursor, Claude Code, multi-agent teams, and frontier tools. For all levels.
Master the core skills every Product Manager needs. 55 lessons across 13 modules covering strategy, execution, analytics, stakeholder management, and career growth.
Build three production-grade AI agents in 3 weeks: an autonomous portfolio agent, a voice RAG agent on ElevenLabs and Twilio, and a multi-agent GTM system using MCP, FireCrawl, Tavily, Hunter, and Pipedrive. No application code required.
Build eight production-grade agentic AI systems in six weeks: Career Digital Twin, SDR, Deep Research, CrewAI Stock Picker, Dockerized Engineering Team, LangGraph Browser Sidekick, AutoGen Agent Creator, and a simulated AI Trading Floor capstone with 6 MCP servers and 44 tools.
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