Full curriculum.

The shifting PM role in the agentic era

How AI compresses the product development loop from discovery to ship. The PM as orchestrator of AI agents, not just human teams. What gets automated first, and which skills become more valuable as a result.

Lessons

Topics covered

• AI compressing the product development loop
• Role archetypes: AI PM, Platform PM, Orchestration PM
• The delegation stack — what to hand off vs. own
• What gets automated first in PM workflows

Mastering AI-assisted discovery

Using LLMs to synthesize qualitative datasets at scale. AI for competitive intelligence. Combining AI synthesis with Jobs-to-be-Done frameworks. When AI research summaries mislead.

Lessons

Topics covered

• Synthesizing interviews, tickets, NPS with LLMs
• AI for competitive landscape scans and gap analysis
• JTBD frameworks + AI synthesis
• Building a continuous AI-assisted discovery loop

AI-native roadmapping & prioritization

AI-generated roadmaps: what to trust, what to override, and why. Automated RICE and WSJF scoring. Dynamic roadmaps for fast AI cycles. Communicating AI decisions to skeptical leadership.

Lessons

Topics covered

• Automated RICE, WSJF, opportunity scoring
• Connecting roadmap to unit economics
• Dynamic roadmaps for continuous replanning
• Exec communication for AI-driven decisions

AI technologies every PM must understand

LLMs, RAG, agents, evals, and failure modes — explained without code. Everything you need to make informed AI product decisions and speak credibly with your engineering team.

Lessons

Topics covered

• LLMs: architecture intuition, context windows, temperature
• RAG vs. fine-tuning: when and why
• Agents and multi-agent pipelines
• Evals: defining quality for AI features
• Prompt injection, hallucinations, adversarial failure modes

Prompt engineering for product managers

Chain-of-thought, few-shot, and zero-shot prompting for real PM use cases. Building prompt libraries. System prompts as product decisions. Red-teaming your AI features.

Lessons

Topics covered

• Chain-of-thought, few-shot, zero-shot for PM workflows
• Building and versioning team prompt libraries
• System prompts: persona, scope, constraint design
• Red-teaming: 5 attack types every PM should know

Ethics, trust & responsible AI product design

The PM as ethical backstop. Bias, fairness, and disparate impact in AI features. Transparency, explainability, and disclosure. EU AI Act, CCPA, and emerging US policy.

Lessons

Topics covered

• Bias, fairness, disparate impact in AI features
• Transparency and explainability frameworks
• When disclosure is legally and ethically required
• EU AI Act, CCPA, emerging US federal AI policy

Organizational influence & leading AI transformation

Managing AI skeptics and true believers. Communicating uncertainty at exec level. The politics of AI attribution. Writing your personal AI leadership manifesto.

Lessons

Topics covered

• Managing AI skeptics and uncritical enthusiasts
• Communicating confidence intervals at exec level
• Credit, blame, accountability when AI fails publicly
• Building org-wide AI fluency as a PM

Capstone: Your AI PM Reputation Kit

End-to-end AI feature development from discovery through launch. Three capstone artifacts you submit to earn your ANPL certificate. Built for real work, not for passing an exam.

Lessons

The three artifacts