Go from curious beginner to confident AI explorer in five weeks. You'll discover how machines learn from data, build your own training sets, watch neural networks process information in real-time, master prompt engineering for generative AI, and tackle big ethical questions about bias, accountability, and fairness. Every concept comes alive through interactive simulations where you experiment, break things, and build understanding by doing. No prior AI experience required, designed for ages 10-16.
What Is Artificial Intelligence?
AI or Not AI? Sorting Game
What's the main difference between AI and a regular computer program?
Instead of programming every rule, AI systems learn patterns from data and use t...
A Brief History of AI
AI Timeline Explorer
Which event showed that AI could beat humans at a board game requiring intuition...
What is the Turing Test?
How Machines Learn
Training Data Builder
Why does a machine learning model need lots of training data?
A machine learning model is trained on labeled data, and its performance is meas...
Inside a Neural Network
Neural Network Playground
What do the 'weights' in a neural network control?
The three types of layers in a neural network are the input layer, hidden layer(...
What is a 'model' in machine learning?
When Models Go Wrong: Overfitting & Underfitting
Overfitting Visualizer
A model scores 99% on training data but only 55% on new test data. What's most l...
To detect overfitting, we split our data into a training set (used to teach the ...
Decision Trees: AI You Can See
Decision Tree Builder
Why are decision trees useful compared to neural networks?
A model that is too simple to capture real patterns in the data is called underf...
How Generative AI Works
Prompt Workshop
Which prompt would likely get the best response from an AI?
A good prompt includes specificity (what exactly you want), context (background ...
Prompt Patterns That Work
Which of these are effective prompt engineering techniques? (Select all that app...
How does generative AI 'generate' new content?
Bias In, Bias Out
Bias Detector Lab
An AI trained mostly on photos of light-skinned faces struggles to recognize dar...
If an AI's training data doesn't fairly represent all groups, the model's predic...
Responsible AI: Rules for the Road
AI Ethics Scenario Explorer
Which are key principles of responsible AI? (Select all that apply)
Why is human oversight important for AI systems?
What does 'transparency' mean in the context of AI ethics?
AI Foundations Capstone Conversation
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