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The goal C Builder

Builder — collect data, train a model and test AI critically

For ages 13–15. Python, statistics, collecting your own data, an image classifier in the browser, and how to test AI tools fairly.

Knowledge nodes
25
From zero
about 12 h
Labs
1
See what you already know — no account

The diagnostic removes what you already know, so your path is usually much shorter.

What you can do afterwards

Labs along the way

You write the code. Tests you cannot see decide whether it holds up.

Project 1: Teach a computer to recognise patternsCin the browser · about 90 min

The whole path

Everything the goal builds on, grouped by level and in the order it builds on itself. Show on the map

AExplorer4 knowledge nodes
  1. Shapes, patterns and repetition
  2. Guess, test, learn
  3. Patterns and categories
  4. Sequences and precise instructions
BInvestigator10 knowledge nodes
  1. Data in everyday life
  2. Charts and tables
  3. A fair experiment
  4. Algorithmic thinking
  5. Rule-based systems and machine learning
  6. Source criticism and responsibility in AI use
  7. Training data, features and labels
  8. Generative AI: how it creates content
  9. Language models and probabilities
  10. AI's invented answers
CBuilder10 knowledge nodes
  1. Spreadsheets: formulas and sorting
  2. The school's rules for AI
  3. Write down what you did
  4. Manual data labelling
  5. Experiment: biased training data and its consequences
  6. Project: train an image classifier in the browser
  7. Project C: collect data and train a model
  8. Asking effective questions to AI
  9. Compare two AI answers
  10. Evaluate AI performance with your own questions
DAI developer1 knowledge nodes
  1. Measure the AI fairly