Signal / Noise

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 regulated industries — 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.

24 units Free, no sign-up 13 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
11 Data Curation: The Unsexy Blocker Published
12 Cost & Latency: The Two Constraints That Kill Roadmaps Published
13 Capstone (CORE checkpoint) — interactive worksheet Checkpoint
Depth · Units 14–24 · pulled in on demand
14 Error Analysis & the Improvement Flywheel Forthcoming
15 Topic forthcoming Forthcoming
16 Topic forthcoming Forthcoming
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