Skip to content

AI Curriculums

Material for learning to understand and use AI, for anyone.

Where it started

The first design was four phases, each with its own levels:

  • Phase A, Foundation. For people who are hesitant or skeptical about AI. It takes their concerns seriously and makes the case for why learning AI matters.
  • Phase B, General Capability. Practical skills for any motivated learner: asking better questions, breaking work into pieces an AI can help with, verifying what it produces, and building workflows.
  • Phase C, Engineering Fundamentals. For engineers already committed to AI, built around Steve Yegge’s eight stages of how developers’ use of AI evolves, from occasional help to orchestrating many agents. His article is Welcome to Gas Town.
  • Phase D, Frontier. Systems still taking shape: tools, observability, context, guardrails, and agent infrastructure, along with interview preparation.

That material is in my ai-projects repository.

Where it is now

I’m rebuilding it. A ladder of levels assumes one right order and a tool landscape that has since changed a lot. The new version has no prerequisites, and your own goal decides what you learn. It’s organized as a map of five overlapping areas instead of a staircase:

  • Society and humanity
  • Everyday literacy
  • Tools and agents
  • Building and deploying
  • Agentic systems

You can browse by topic or start from something you want to do. Each lesson comes with a reusable skill you can give your AI.

It’s early. One lesson is written in full and the rest are outlines.