Learn AI by proving it

A skill tree for AI, where every branch is earned.

Short modules you finish at your own pace. Each one ends with a task on your own work. Pass it, unlock the next. Finish the trunk and earn a badge an employer can verify.

Start the trunkSee the tree

How it works

  1. Learn

    A module takes under 30 minutes and uses tools you already have. No installs, no API keys.

  2. Prove

    Finish with a task on your own material, so the result only makes sense as yours.

  3. Unlock

    A grader marks it pass or not yet, with one sentence of feedback. Retries are free.

The trunk

Four modules everyone completes before branching.

  1. 1. What you are actually talking toF1 · F2 · F3 · F6 · ~35 min
  2. 2. Sharing safelyF5 · F4 · ~25 min
  3. 3. Writing a prompt that worksP1 · P2 · ~30 min
  4. 4. Deciding what to trustV1 · V3 · ~30 min

Two branches at launch

Knowledge worker

You write, analyze, plan, or manage. You'll use AI through chat and document tools and need to know what to trust.

Branch modules coming after the pilot

Builder

You'll wire AI into a tool, script, or workflow. You need APIs, evaluation, and cost, on top of the fundamentals.

Branch modules coming after the pilot

The skill tree

Green markers are trunk skills. Each skill is a thing you can do, and each badge lists exactly which ones it certifies.

Trunk (everyone)Branch skills
FoundationsPromptingVerificationToolsCommunicationFoundations — Explain in plain words what a language model does (predicts text from context) and name two things it is NOT (a database, a search engine).
F1Foundations — Describe what can and cannot be shared with an AI tool (personal, confidential, credentials) and apply it to a real scenario.
F5Foundations — Identify a hallucination in a model response and explain why it happened.
F2Foundations — Explain what context is, what fits in it, and why the model "forgets".
F3Foundations — Say in plain words what a typical AI conversation costs and why experimenting is expected, not wasteful.
F6Foundations — Recognize which tasks a model is good at, bad at, and unsafe for, given a list of real tasks.
F4Prompting — Write a prompt with role, context, constraints, and an output format, and show the result improves over a bare question.
P1Prompting — Iterate on a prompt: diagnose a bad output, change one thing, and explain what the change fixed.
P2Prompting — Provide examples in a prompt (few-shot) to steer format or tone.
P3Prompting — Break a task the model fails at into steps it can do, and chain them.
P4Verification & judgment — Check a model's factual claims against a source and mark which held up.
V1Verification & judgment — Write a short rubric for a task and use it to compare two model outputs.
V2Verification & judgment — Decide when to trust, verify, or reject a model output based on stakes and reversibility.
V3Tools & workflow — Pick an appropriate tool for a task (chat, document upload, code assistant, image) and justify the choice.
T1Tools & workflow — Use a model on their own material (a document, a dataset, notes) and produce a usable result.
T2Tools & workflow — Turn a repeated manual task into a reusable prompt or template.
T3Tools & workflow — Choose a model tier for a task, weighing cost, speed, and quality.
T4Communication — Explain to a non-technical person what they did with AI and what they checked.
C1Communication — Document a prompt or workflow so someone else can reuse it.
C2