The AI Innovation Factory · Ages 12–16
AI for teens (ages 12–16)
6 chapters and 60 levels of comic missions with Nova, each ending in a hands-on CROODI Lab. Parent-managed, safe AI learning with no open chat for kids.
- Build Nova, the AI model for their indie game studio team
- Real technical terms, used correctly: mechanism first, then analogy
- Real cases with dates: deepfakes, scams, bias and AI rules
- Treats teens as capable, never preachy
The full course
Every chapter and level for ages 12–16, and the question each one answers.
Chapter 1 · earns the Trainer rank
What Is AI?
- L1Defining a Moving TargetWhat is AI?
- L2The Invisible StackWhere is AI in my apps?
- L3Rules Hit a WallWhy did machine learning win?
- L4Sensors to SignalsHow does AI perceive the world?
- L5Data Is the FuelWhat does AI actually learn from?
- L6Algorithm vs ModelWhat's the difference?
- L7Trees, Graphs and LogicCan AI reason with explicit knowledge?
- L8Search and PlanningHow does AI plan ahead?
- L9Fluent, Narrow, Not ConsciousHow smart is AI really?
- L10Our Studio's AI PolicyHow will we use AI?
Chapter 2 · earns the Builder rank
How AI Learns
- L1The Supervised PipelineHow does supervised learning work?
- L2Ground Truth Is HumanWho labels the data, and how good are labels?
- L3Features and RepresentationsWhat does the model actually 'see'?
- L4Generalise, Don't MemoriseHow do we know it works on new data?
- L5Neurons, Weights, ActivationsWhat is a neural network mathematically?
- L6Rolling DownhillHow does a network learn?
- L7Why Deep Learning Took OffWhat changed in 2012?
- L8Unsupervised: Clusters and RecommendersHow does AI find structure without labels?
- L9Learning by RewardHow does AI learn to play?
- L10Audit and ShipIs Nova fair and ready to launch?
Chapter 3 · earns the Word Wizard rank
How Chatbots and Generative AI Work
- L1From ELIZA to LLMsWhat makes modern chatbots different?
- L2Tokens and ProbabilitiesHow does an LLM write?
- L3Attention Is the TrickHow does it keep track of meaning?
- L4Pretraining at ScaleWhat does training a frontier model take?
- L5From Predictor to AssistantHow does it become helpful and safe?
- L6Context, Memory, RetrievalWhat does it know right now?
- L7Why Hallucinations HappenWhy do LLMs make things up?
- L8Diffusion and GeneratorsHow are AI images made?
- L9Reasoning Models and AgentsWhat can AI do on its own?
- L10System DiagramCan you explain the whole system?
Chapter 4 · earns the Prompt Pro rank
Prompt Engineering
- L1Prompts as ProgramsWhat is a prompt, technically?
- L2Constraints and CriteriaHow do I get exactly what I want?
- L3System vs User PromptsWho controls the AI's behaviour?
- L4Few-Shot PromptingHow do examples steer outputs?
- L5Evaluate, Then IterateHow do I know a prompt is good?
- L6Reasoning on RequestHow do I get better reasoning?
- L7Tutor, Not GhostwriterHow do I use AI for school with integrity?
- L8Creative WorkflowsHow do creators use AI well?
- L9Prompt InjectionHow do people break AI systems?
- L10Ship the NPCIs the NPC robust?
Chapter 5 · earns the Guardian rank
Smart and Safe with AI
- L1Your Data, Their ModelWhat happens to what I type into AI?
- L2Synthetic MediaHow do I verify a photo or video?
- L3Social Engineering 2.0How does AI supercharge scams?
- L4Parasocial MachinesWhy do AI companions feel so real?
- L5Lateral ReadingHow do professionals fact-check?
- L6Engagement MachinesWhy are feeds so hard to put down?
- L7Rules of the RoadWhat rules apply to teens and AI?
- L8Influence OperationsWho is trying to sway me, and how?
- L9Cognitive OffloadingDoes AI make us smarter or lazier?
- L10The Safety PlaybookWhat's our team's plan?
Chapter 6 · earns the AI Pro rank
AI and Our World
- L1Evidence for ImpactIs AI actually helping?
- L2Fairness Is ContestedWhose fairness?
- L3Work, RemixedWhat happens to jobs?
- L4The FootprintWhat does AI cost the planet?
- L5Training Data and CopyrightIs training on the internet fair?
- L6Governing AIWho should make the rules?
- L7AccountabilityWho is responsible when AI fails?
- L8Safety at the FrontierHow do we keep powerful AI on track?
- L9Open QuestionsWhat don't we know yet?
- L10The PitchWhat would you build?
How every level works
Three comic missions, then they build it for real.
Each level answers one big question, like “How does AI see a picture?” Every mission ends with a quick game and a Boss quiz worth up to three stars.
- 1
Mission 1
Discover
Meet the idea in a comic. Your child makes the call on every page.
- 2
Mission 2
Use
Spot the same idea at school, at home and in the apps they already use.
- 3
Mission 3
Fix
The sidekick gets it wrong. Your child works out why and fixes it.
- 4
Level finale
CROODI Lab
Build and test a tiny AI model by hand. The sidekick earns a new part.
🎮 Quick game⭐ Boss quiz: up to 3 stars⚡ XP for every star📘 One new AI word per page
Start Chapter 1 with Nova.
Try a mission free. No sign-in needed.
