AI Game Designers
Gervigreindarleikjahönnuðir
The game is the lesson. The AI is the opponent.
Book a free trialWhat they'll learn
- AI that plays your game Train a model to control or compete in a game the student designs.
- How game AI decides See the difference between hand-written rules and AI that learns its behaviour.
- Designing fair fun Build challenges that are fair and genuinely fun to play against an AI.
- Test and tune the opponent Playtest, measure and adjust the AI until the difficulty feels just right.
A playable game with an AI opponent or controller they trained, demoed at arcade night.
The 13-week journey
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Sprint 1 — Game AI basics
How classic game enemies 'think' (rules) versus learned behaviour; building a simple game and a rule-based opponent. Ends with a playable prototype.
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Sprint 2 — Train the player
Training a model to control the game (gestures, voice or moves) or to act as an opponent; accuracy tuning as difficulty tuning. Ends with an AI-controlled build.
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Sprint 3 — Fair and fun
Designing challenge that's fair, not frustrating; testing the AI against real players; the 'when does AI make a game better?' discussion. Polishing for showcase.
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Week 13 — Showcase
Arcade night: families play against the trained AIs and vote on the most fun.
What we cover
Every topic, unit by unit — so you know exactly what your child builds and learns.
Game AI basics
- How classic enemies 'think' (rules)
- Rules versus learned behaviour
- Building a simple game
- A rule-based opponent prototype
Train the player
- Training a model to control the game
- Gesture, voice or move-based control
- An AI opponent that reacts
- Accuracy tuning as difficulty tuning
Fair and fun
- Designing fair, non-frustrating challenge
- Testing the AI against real players
- When does AI make a game better?
- Polishing for showcase
Arcade night showcase
- Final tuning and instructions
- Presenting how the AI was trained
- Families play the trained AIs and vote
A playable game where the audience competes against (or plays with) a model the child trained.
For the kids who live in games, the most motivating way into real AI: design a game where the AI is the opponent or the controller — and train that AI yourself. The game is the hook; training, tuning and understanding model behaviour is the curriculum.
The hooks
Kid hook: “I trained the AI that you have to beat in my game.” Parent hook: “The hours they’d spend in games, turned into training and understanding real AI.”
Who it’s for
Gamers ready to switch sides of the screen; no coding required. Thrives: competitive, creative kids who want their AI to do something they can feel.
Outcomes — by the end, students can
Train a model to control or oppose a game; explain rules-based vs learned game behaviour; design fair difficulty; test and tune an AI opponent; judge when AI genuinely improves a game.
Tools & compliance
Block-based game tools plus account-free model training (Teachable Machine / Machine Learning for Kids); school laptops; no personal accounts under 13.
Where this course fits
Pairs with AI Trainers; a fun route toward AI Makers at 13–15.
Parent questions
Isn't this just a game-making class?
No — the game is the vehicle; the real learning is training and tuning an AI and understanding how game AI decides.
Do they need to code?
No prior coding needed — we use block-based tools and trained models; AI Trainers helps but isn't required.
Any chatbots?
No — under-13s train their own account-free models; no chatbot accounts.
The first lesson is a free trial.
Book a no-commitment trial — pay nothing if it's not a fit.
Book a free trial