AI-First Product Manager Curriculum
10 Modules. One Systematic Approach.
Every module builds on the last. Start with AI mental models, master prompt architecture, compose multi-step chains, add governance, enable self-healing, and graduate by deploying your own AI utility.
AI-Ready PM
Reframe AI from career threat to capacity multiplier. Build your first AI workflow in under 15 minutes. Gain a framework for evaluating any AI tool.
- 01M0-S1: Build Your First AI Workflow
- 02M0-S2: Understand the PM's AI Landscape
- 03M0-S3: Evaluate Any AI Tool in 15 Minutes
Prompt Architecture for PMs
Stop asking AI questions. Start writing MEASURABLE CONSTRAINTS that produce evals-ready output. Build your domain language map so AI output sounds like YOUR company, not generic AI. Score prompts with the Prompt Grader — take a failing prompt (<50) to production-grade (≥85) across 3 targeted iterations. Module 1 delivers the core skill that separates AI system builders from AI users: prompts you can grade, score, and trust — not prompts you hope are good.
- 01M1-S1: Write MEASURABLE CONSTRAINTS
- 02M1-S2: Domain Language Engineering
- 03M1-S3: The Prompt Grader
No-Code AI for PMs
Build working AI tools without writing a single line of code. Turn a form into a document generator. Build a feedback dashboard. Create a tool comparison scorecard.
- 01M2-S1: bolt.new — Build Your Document Generator
- 02M2-S2: Lovable — Build Your Feedback Dashboard
- 03M2-S3: Choose Your Tool — Evaluation Framework
Automated Documentation
Build reusable AI templates with MEASURABLE CONSTRAINTS and persistent product context. Replace hours of weekly documentation with minutes of review.
- 01M3-S1: Build Your Document Generator
- 02M3-S2: Understand MEASURABLE CONSTRAINTS
- 03M3-S3: Apply Templates to Your Work
- 04M3-S4: Systematize Your Documentation Pipeline
AI-Native Workflows
Map your PM workday as a pipeline. Build multi-step automations in n8n without code. Connect Slack, AI, Google Sheets, and Gmail into a cross-tool workflow that recovers hours per week from stakeholder communication.
- 01M4-S1: Context Engineering
- 02M4-S1: Workflow Architecture
- 03M4-S2: The AI-First Workday
- 04M4-S2: Multi-Step Automation
- 05M4-S3: Cross-Tool Integration
- 06M4-S3: Scheduled Agents
Introduction to Pi Harness
Pull back the curtain on the agent architecture that powers AI-first teams. Map the 3-layer AI stack, build a persistent context system in Claude Projects, and design the specification for an AI assistant that would handle your recurring PM tasks — without touching a terminal.
- 01M5-S1: Agent Harness Architecture
- 02M5-S2: Agent Memory and Context
- 03M5-S3: AI Assistant Design
Chain Orchestration for PMs
- 01m6-s1-chain-thinking
- 02m6-s2-building-chains
- 03m6-s3-chain-governance
AI-Powered Business Intelligence
- 01M7-S1: Data Analysis with AI
- 02M7-S2: Dashboard Generation
- 03M7-S3: Competitive Monitoring Agent
Governance: AI You Can Trust
Build your personal AI output checklist — 5 gates every artifact passes before it leaves your laptop. Run domain language validation. Score prompts with evals. Combine everything into one governance pipeline.
- 01M8-S1: The PRODUCTION-CHECKLIST
- 02M8-S2: domain-validate
- 03M8-S3: Evals for PMs
- 04M8-S4: The AI Governance System
Capstone: Build Your AI Utility
Integrate all techniques into a working 4-step capstone pipeline. Plan, build, deploy, test. Present your AI-first workday blueprint with quantified savings to your VP.
- 01M9-S1: Plan Your AI Utility
- 02M9-S2: Build the Pipeline
- 03M9-S3: Deploy and Test
- 04M9-S4: Present Your System