LEVEL ONE  ·  START HERE

The Basics

What AI is really doing when it answers you, where it goes wrong, and how to use it well without getting burned. No technical background needed.

Modules Lessons Self-paced
By the end you will be able to
  • Tell when an AI is reasoning from real material and when it is filling in a plausible-looking blank
  • Decide how hard to check an answer based on what it costs to be wrong
  • Judge what is safe to paste into an AI tool, and through which channel
  • Write a prompt that gets a usable answer the first time
  • Recognize AI-assisted phishing, cloned voices and hidden instructions aimed at your assistant
  • Explain to a colleague what a given AI feature will actually cost
Start The Basics
LEVEL TWO  ·  GOES TECHNICAL

Beyond the Basics

How the machinery actually works underneath. Tokens, transformers, embeddings and retrieval, plus how AI systems get attacked and defended. A real step up.

Modules Lessons Self-paced
By the end you will be able to
  • Follow what happens to your words from tokenization through to a generated answer
  • Explain why models hallucinate at the level of the mechanism, not the metaphor
  • Describe how a retrieval pipeline finds a document, and the points where it quietly fails
  • Reason about why prompt injection has no clean fix, and what actually contains it
  • Size a deployment: what runs locally, what needs the frontier, and what it costs
  • Review an AI system's architecture and say where its blast radius is too wide
Start Beyond the Basics

Before you start

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Feedback

Genuinely the thing I would most like from you. Was it worth your time? What landed, what did not, what was missing. If you spot an error, that especially, because I would rather fix it than leave it sitting there.

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