AI/ML Fundamentals for PMs
3-4 weeksSkills You'll Build
AI terminology and conceptsLLM capabilities and limitationsML project lifecycleAI vs traditional softwareCost-quality-latency tradeoffs
Scrum Master → AI Product Manager
Scrum Master to AI Product Manager
Leverage your agile expertise to lead AI product development. Your experience in facilitating teams, managing sprints, and removing blockers translates directly to AI product management. Learn the technical foundations needed to make informed AI product decisions without becoming an engineer.
4-6 months
Prerequisites
- Scrum and agile methodology expertise
- Sprint planning and backlog management
- Stakeholder communication
- Team facilitation skills
- Basic understanding of software development
Your Learning Path
AI Product Patterns and Use Cases
3-4 weeksSkills You'll Build
Common AI application patternsRAG system understandingChatbot and assistant designDocument processing applicationsAI automation opportunities
Technical Communication for AI
2-3 weeksSkills You'll Build
Reading technical documentationWriting AI requirementsUnderstanding AI limitationsHallucination and safety considerationsExplaining AI to stakeholders
AI Project Scoping and Estimation
3-4 weeksSkills You'll Build
AI project timeline estimationRisk assessment for AI projectsPrototype vs production planningAI-specific sprint patternsManaging AI uncertainty
AI Ethics and Product Strategy
3-4 weeksSkills You'll Build
AI ethics fundamentalsBias and fairness considerationsPrivacy and data governanceAI product roadmap planningCompetitive landscape analysis
Portfolio and Career Positioning
2-3 weeksSkills You'll Build
AI PM portfolio buildingInterview preparationSalary negotiationContinuous learning planIndustry networking