AI/ML Fundamentals for PMs
3-4 weeksSkills You'll Build
Understanding LLMs vs traditional MLAI capabilities and limitationsPrompt engineering basicsAI terminology fluency
Product Manager → AI Product Manager
Product Manager to AI Product Manager
A structured roadmap for product managers looking to specialize in AI products. You don't need to become an engineer, but you do need to understand what AI can (and can't) do, how to evaluate AI systems, and how to communicate effectively with technical teams. This path focuses on building AI product intuition and technical literacy in 3-6 months.
3-6 months
Prerequisites
- Product management experience (2+ years)
- Basic understanding of software development lifecycle
- Experience writing PRDs and managing roadmaps
- Data-driven decision making
- Stakeholder management skills
Your Learning Path
LLM Capabilities & Constraints
2-3 weeksSkills You'll Build
Understanding context windows and tokensHallucination patterns and mitigationModel selection for different use casesCost-quality-latency tradeoffs
AI Product Patterns
3-4 weeksSkills You'll Build
RAG systems understandingAI agent architecturesConversational AI patternsAI-powered feature design
Technical Communication & Evaluation
2-3 weeksSkills You'll Build
Writing AI product requirementsEvaluating AI system qualityUnderstanding AI metrics (latency, accuracy, cost)Communicating with AI engineers
AI Product Strategy & Ethics
2-3 weeksSkills You'll Build
AI product roadmap planningBuild vs buy decisions for AIAI ethics and responsible deploymentRisk assessment for AI products
Portfolio & Positioning
2-3 weeksSkills You'll Build
AI product case studiesPM interview preparation for AI rolesDemonstrating AI product thinkingIndustry networking