AI-Native Learning · Phase 1 of 3
The AI-Native PM
Mastercourse
A three-phase mastercourse for product managers who want to operate at the frontier of modern product practice. This is Phase 1 — Foundations: 12 modules, hands-on labs, and real AI workflows to take you from beginner to confident AI-native PM.
3Phases
13Modules (Phase 1)
12AI Labs
150+Quiz Questions
The AI-Native PM Mastercourse — 3 Phases
This is a complete learning journey across three progressive phases. You are currently in Phase 1.
①
Phase 1 — Foundations You are here
Introductory · Available now
The full AI-native PM toolkit: discovery, strategy, requirements, prioritisation, roadmapping, analytics, your PM OS, and a capstone project. No prior AI experience required.
②
Phase 2 — Practitioner
Intermediate · Coming soon
Advanced AI product architecture, multi-agent system design, AI feature strategy, growth and experimentation at scale, and leading AI-native product teams.
③
Phase 3 — Expert
Advanced · Coming soon
AI product leadership, building AI platforms, organisational transformation, responsible AI at scale, and the future of the PM role in an AI-native world.
What is AI-Native Product Management?
This course teaches more than how to use AI tools. It teaches you to build systems.
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AI-Assisted vs AI-Native
AI-assisted means using AI as a tool. AI-native means building systems where AI operates inside persistent context, reusable workflows, and quality gates — consistently, not ad-hoc.
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Simulation-Based Learning
All exercises run inside FlowScale, a fictional B2B workflow automation platform (Series B, mid-market). You operate as a PM inside this company from Module 1 onward.
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Practical, Measurable Output
Every module produces a real deliverable: triage tables, discovery reports, PRDs, roadmaps, support systems. Nothing theoretical-only.
Who This Course Is For
- Aspiring PMs — building their first PM toolkit with AI from day one
- Junior & Mid PMs — looking to move from ad-hoc AI usage to systematic AI-native workflows
- Senior PMs and Leaders — wanting to understand how AI changes team operations and product delivery
- Builders and Operators — anyone who works alongside product teams and wants to understand AI-native PM practice
Prerequisites
- Basic computer literacy — no coding required
- Willingness to use command-line tools and text editors
- Access to an AI model (Claude, GPT-4, or equivalent)
- VS Code or any text editor
- Git/GitHub account (free)
How to Use This Course
| Format | Detail |
|---|
| Self-paced | Work through modules at your own speed, one per week recommended |
| Cohort | 1 workshop (60 min) + 1 AI lab (90 min) + 1 deliverable per week |
| Cohort size | 10–20 PMs (for cohort format) |
| Tools needed | AI model · VS Code · Git · Markdown editor |
| Duration | ~12 weeks, ~3–4 hours per week |
Phase 1 — Foundations: Course Modules
Start with the Introduction, then progress module by module through the FlowScale simulation.
Course Evaluation
How your work is assessed across the 12 modules.
| Component | Weight | Description |
|---|
| Weekly AI Lab | 30% | Completed lab with measured output quality |
| Weekly Deliverable | 30% | FlowScale exercise output |
| Peer Review | 10% | Review 2 peers' work each week |
| Capstone Project | 30% | Full AI-native PM system with evaluation metrics |