Pick your child's age band to start, then choose the course that fits. Every term ends in a live showcase.
Age is where we start. Interest is how you filter from there.
Train their first AI, spot fakes, and make AI art and stories — playful, curious, and half of it away from screens.
ExploreTrain real models, make AI art and music, build chatbots and AI-powered games — the hours in tech, turned into building AI.
ExploreHow AI really works, building AI apps, prompt engineering and machine learning — industry tools, teenage pacing, valgrein credit.
ExploreTrain and evaluate real models, build LLM agents, and present an AI product to Iceland’s tech industry at Demo Day.
ExploreThe full catalogue. Courses not yet running show their status — join the list and we'll tell you when a section opens.
Level 1 of the Explorers path, and the front door to the whole school. Kids train real models, learn how AI learns from examples, and become the family's go-to for spotting AI-made pictures — no chatbots, all hands-on.
Level 2 of the Explorers path. Children become the teacher and the computer becomes the student. By training models on their own examples — and watching them get it gloriously wrong — they learn exactly how AI thinks.
Level 3 of the Explorers path — the creative one. Kids direct AI tools to make illustrated stories, characters and art, and learn the most important habit early: the idea is theirs, and they say when AI helped.
Level 4 of the Explorers path. AI is already in their day — in voice assistants, video feeds and games. This level makes it visible: kids learn where AI is, how it decides, and how to be the boss of it.
The band's front door. Train it, wire it into a project, then break it on purpose. Kids build real machine-learning models and learn exactly how AI works — and where it fails.
Generative AI as a creative instrument. Kids make art, music and short videos by directing AI tools with real intent — and learn, hands-on, where the line between 'theirs' and 'the machine's' sits.
Kids design and build their own chatbots — from simple rule-based bots to smarter ones — and learn precisely how chatbots decide what to say, where they fail, and how to use them safely.
Games as the vehicle for real AI. Kids design games where AI is the opponent or the controller — training a model to play, and learning how game AI makes decisions.
The band's front door and flagship. How AI really works, how to build with it, and how to train your own — including a model trained on real Icelandic data, graded honestly.
The power-user course. Teens learn to get genuinely expert results from AI through structured prompting, verification and tooling — and the honest line between AI as tutor and AI as ghostwriter.
From blank file to a live web app with a real AI feature inside — a study tool, a helper, a generator. The fastest way to turn 'I use AI' into 'I built with it.'
Design, music, video and AI image-making for creative teenagers — with the authorship ethics built in. Ends in a real exhibition, not a screen.
The technical heart of the band. Teens load real data, train and evaluate their own models in Python, and learn to read accuracy honestly — the groundwork for AI Engineer at 16.
Real machine learning for 16–18s: train and evaluate models in Python, build LLM-powered applications, and meet the frontier where it speaks Icelandic.
The frontier course. Teens build LLM applications that go beyond chat — retrieval over real documents, tool use, and simple autonomous agents — with evaluation and safety built in.
The data-science track: deeper machine learning on real, messy data — feature work, model selection, honest evaluation, model cards, and the law and ethics practitioners actually need.
The summit of the AI ladder. One mentored AI project, built for real users and demonstrated live to invited guests from Iceland's tech industry — and the school's biggest night.
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