Fifteen courses. From eight-year-olds to regulated industries. Everything is free, everything is real, nothing's on a corporate calendar.
The catalog— fifteen on the shelf
For young readers · ages 8–18
Two courses — one for 8–14, a deeper one for 14–18
For ages 8–14
AI for Kids
№01
Foundations through stories and a career-game. The kind of book a parent reads alongside.
5 modules · BeginnerOpen →
For ages 14–18
AI for School Students
№02
How LLMs actually work, prompting as a real skill, deepfakes, and where the line sits on schoolwork.
5 modules · BeginnerOpen →
Core literacy
Read in any order — each stands alone
For everyone
AI Essentials
№03
Vocabulary, history, honest limits. What an LLM is — and isn't — without the marketing.
6 modules · BeginnerOpen →
For builders
AI Deep Dive
№04
Transformers, embeddings, fine-tuning, evals. The trade-offs that don't fit on a slide.
4 modules · AdvancedOpen →
The everyday skill
Prompting
№05
The one skill that improves everything else you do with AI. Built on before-and-after examples, not abstract advice.
5 modules · BeginnerOpen →
Build · Test · Secure
Read in order — this is the path from idea to something real people use
① Build it
Vibecoding
№06
Turn an idea into a working prototype using AI — with no coding background, and knowing what you have actually got.
5 modules · BeginnerOpen →
② Engineer it
Agent Engineering
№07
The scaffolding that turns a model into a working system — loops, context, tools, and the failures that only appear in production.
5 modules · AdvancedOpen →
③ Test it
Does Your AI Actually Work?
№08
An eval is a test for AI. Build real test cases, judge quality honestly, and catch problems before your users find them.
4 modules · AdvancedOpen →
④ Secure it
Securing AI Systems
№09
Threat-model, harden and red-team AI and agentic systems. The hands-on counterpart to the sales course.
4 modules · AdvancedOpen →
⑤ Run it
From Prototype to Real Product
№10
The honest second half. Data, accounts, shipping, cost, support and the second year — with the effort counted at every stage.
5 modules · BeginnerOpen →
Industry courses
Vertical, role-specific. More on the way.
For security teams
AI for Cybersecurity
№11
AI in the security stack and the security of AI itself — defence, the adversarial side, and how to evaluate the products.
4 modules · IntermediateOpen →
For clinical & health-tech
AI for Healthcare
№12
Where AI actually sits in care, how to read the evidence, and the regulatory reality. Orientation, not clinical guidance.
4 modules · IntermediateOpen →
For legal practice
AI for Legal
№13
Contracts, discovery, and the citation problem that has already cost lawyers their credibility.
4 modules · IntermediateOpen →
For risk, compliance & credit
AI for Finance
№14
AI inside the model risk duties finance already has — explainability, fair lending, and the failure modes that cost money.
4 modules · IntermediateOpen →
For auditors & assurance teams
AI for Audit
№15
AI on both sides of the engagement — using it without surrendering scepticism, and auditing numbers a model helped produce.
4 modules · IntermediateOpen →
In the kiln
More verticals next quarter
Healthcare, legal, and field-sales drafts are in review. Suggest one →
Run a cohort with us
Bring your team
We co-author industry courses with practitioners. If that's you, get in touch.
Side stuff— not courses, still worth your time
Two rabbit holes · enter at your own risk
Try things · break things
AI Playgrounds
§
A wall of small, runnable toys. Tokenizer in your browser. Embeddings on a 2D plane. Ten minutes teaches you what an hour of reading wouldn't.
Next wordWatch a sentence get predicted, one word at a timeRUN →
Base rateWhy an accurate detector still cries wolfRUN →
Eval confidenceIs that improvement real, or is it noise?RUN →
TokeniserSee how your sentence becomes numbersRUN →
7 toys · all in-browser · no API keysOpen the room →
Field notes · not yet a course
Agentic AI
¶
Tools, memory, the loop. Watch an agent reason, call tools, and act — an interactive anatomy plus three step-by-step investigation scenarios.
I.The agent loop — how agents think and actanatomy
II.Research: when the sources disagreescenario
III.Trip planner: stopped at the payment gatescenario
IV.Bug hunt: the first hypothesis was wrongscenario
1 interactive anatomy · 3 scenariosRead the notes →
Marginalia · Did you know
GPT stands for Generative Pre-trained Transformer.
Each word does real work. Generative: it produces, doesn't classify. Pre-trained: the heavy lifting happened before you arrived. Transformer: the 2017 paper that changed everything.