Applied GenAI Curriculum for AI PMs

How to make AI products

Over the past few years I've been organizing my learning and experience — shipping machine-learning, generative, and agentic systems in production — into a course. It is free, it asks nothing of you, and it exists to give back to the community. The CORE sequence (01–13) is a complete operating model on its own, capped by a capstone checkpoint; DEPTH units (14–24) go deeper on demand.

The capstone (Unit 13) is also the spec for the first artifact in ai-product-decisions — the course is the theory; the repo is the same material as working code.

24 units Free, no sign-up 24 of 24 published

Core Sequence · Units 01–13

01 What AI Engineering Is (and Isn't) Published

02 Why the Output Is Never the Same Twice Published

03 Should This Even Be an AI Feature? Published

04 Workflows vs. Agents: The Foundational Distinction Published

05 The Four-Way Decision: Prompting vs. RAG vs. Finetuning vs. Agents Published

06 Why Evals Are the Whole Game Published

07 Defining "Good": Evaluation Criteria & Model Selection Published

08 Prompting as an Engineering Discipline Published

09 Designing the Eval Pipeline Published

10 The Production Architecture, Assembled Published