AI Product Management: From Fundamentals to Shipping AI Products

A hands-on, project-based course that prepares you to lead AI and LLM-powered products end to end. You'll build AI literacy, master LLM capabilities and limits, craft product strategy and roadmaps, design evaluation frameworks and prompts, manage cross-functional stakeholders, and define metrics that prove impact. By the end, you'll have a portfolio-ready AI product spec, roadmap, eval suite, and launch plan.

16 lessons · 4 modules

Module 1

AI Literacy and LLM Foundations for PMs

01 How Modern AI Works: A No-Math Mental Model for PMs
02 Inside LLMs: Tokens, Context Windows, and How They Generate Text
03 Capabilities vs. Limits: Hallucinations, Bias, and Cost Realities
04 The AI Product Landscape: Models, APIs, RAG, and Fine-Tuning

Module 2

AI Product Strategy and Roadmapping

01 Spotting AI Opportunities: Problem-First Use Case Discovery
02 Writing an AI Product Strategy and One-Page Vision
03 Roadmapping AI Products Under Uncertainty
04 AI PRDs: Specifying Features, Guardrails, and Edge Cases

Module 3

Building, Evaluating, and Prompting AI Features

01 Prompt Design Fundamentals for Product Outcomes
02 Designing Eval Frameworks: From Golden Sets to Rubrics
03 Running Evals and Interpreting Results to Improve Quality
04 Responsible AI: Safety, Privacy, and Human-in-the-Loop Design

Module 4

Stakeholders, Metrics, and Launch Capstone

01 Stakeholder Management: Aligning Eng, Design, Legal, and Leadership
02 Defining AI Product Metrics: Quality, Engagement, and Business Impact
03 Launch, Monitoring, and Iteration for AI Features
04 Capstone: Pitch a Complete AI Product Plan