Deep Learning with Block Coding

A hands-on introduction to deep learning and computer vision, where students discover how AI learns to recognize and understand images by building, training, and testing their own visual AI models.

Basic Level

Explore how computers see, collect and label images, train simple image-recognition models, test predictions, and use trained models in interactive block-coding projects.

Advanced Level

Explore neural networks, image classification, model accuracy, training data, bias, and model improvement through more advanced projects, while building foundations for future Python-based deep learning.

Students Learn

Computer vision • Image data & labeling • Model training • Image classification • Neural network basics • Testing & accuracy • Bias & fairness • Responsible AI

Class Format

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