Machine Learning with Block Coding

A hands-on introduction to machine learning where students experience the complete AI learning cycle—from collecting and preparing data to training, testing, and using their own models in interactive coding projects.

Basic Level

Learn how machines learn from examples, collect and label data, train simple models, test predictions, and integrate machine learning into Scratch projects.

Advanced Level

Explore model accuracy, data quality, classification, bias, and model improvement through more challenging projects, while building foundations for machine learning with Python.

Students Learn

Data collection & labeling • Model training • Classification • Testing & predictions • Accuracy • Data quality & bias • Scratch integration • Responsible AI

Class Format

1-hour sessions | Recommended twice per week | Level based on age and previous coding/AI experience.