Skip to content
AI Fluency

For people who use AI and want to understand it

You use AI every day.
Now understand it.

Embeddings. Context windows. RAG. Inference costs. MCP. You have nodded along in enough meetings. AI Fluency builds the mental model properly, in short daily sessions, without turning you into an engineer.

Start learning nowStarts instantly. No account required.

Most AI learning is either prompt tips or a machine-learning degree.

Neither helps you evaluate a vendor, brief an engineering team, or work out why a feature that looked cheap in a demo just became your biggest line item. AI Fluency teaches the middle: rigorous practical understanding for people who build, lead, buy, manage, or communicate about AI.

How it works

01

It decides what you learn next

You never have to decide what to study next. Every session mixes new material, concepts you are shaky on, prerequisites worth shoring up, and whatever is due for review, in that order, for reasons you can see.

02

You have to actually use the idea

Recognize it, define it, tell it apart from the usual mix-up, apply it to something ordinary, then to a real situation. Definitions alone will never mark a concept mastered, no matter how many you get right.

03

It brings things back before you forget them

Spaced repetition schedules each concept individually. Get something wrong and it returns sooner, and it returns again in the same session, so you leave having actually fixed it.

04

A tutor that knows where you are stuck

Ask for a simpler explanation, an analogy, another example, a real product to look at, or a comparison with the concept you keep confusing it with. Each answer is a few sentences, drawn from the lesson rather than invented.

The curriculum

10 guided units and 177 concepts, in the order that makes them make sense.

  1. 01AI FoundationsThe vocabulary everything else is built on
  2. 02LLMsWhat is actually happening when it answers you
  3. 03Working With AIEverything the model sees before it answers
  4. 04Software LiteracyEnough of how software works to follow the conversation
  5. 05APIsHow software asks other software for things
  6. 06Git & Building SoftwareHow code gets tracked, reviewed, and shipped, and who is writing it now
  7. 07AI Application ArchitectureThe whole machine, with the model as one part of it
  8. 08RAG & AI KnowledgeHow a model comes to know things it was never trained on
  9. 09Agents & MCPWhen AI stops answering and starts acting
  10. 10AI Product FluencyThe questions to ask before anyone commits

Every concept written by hand, not generated. The roadmap has the question count and the estimated time for each unit.

Stop nodding along.

Start learning now