Learning Pathway

Two stages, one coherent journey.

Students can begin with AI Fundamentals, progress into AI Professional courses, and branch into competition preparation or a mentor-guided innovation project when they are ready.

Stage 1

AI Fundamentals

For students building their first serious technical base. The focus is Python fluency, computational thinking, data literacy, visualization, and the habits needed for later machine learning.

  • C100 Python for AI
  • C200 Data Science
  • Grades 5-9+ entry options
Stage 2

AI Professional

For students ready to connect mathematics, algorithms, and labs. The track develops deeper AI reasoning across linear algebra, probability, calculus, classical ML, deep learning, CV, NLP, and model tuning.

  • C300 Mathematics for AI
  • C400 Machine Learning
  • C500 Deep Learning
Studio

AI Innovation Project

A research and portfolio studio for high-potential students. Learners build original work using real datasets, engineering prototypes, model evaluation, reports, posters, and GitHub documentation.

  • Science fair and portfolio-ready
  • Mentor-guided project workflow
  • Custom topics across five domains
Competition Focus

Preparation for Canadian AI competition pathways.

Canada AI Olympiad programs include CJAIO for eligible Grade 7-10 students, CAIO for eligible Grade 9-12 students, and CAI²O for Grade 7-12 innovation pathways. One AI Labs designs training that helps students build the technical depth, lab confidence, and communication skills these environments demand.

Concept MasteryAI math, algorithms, data, ethics, and model behavior.
Lab FluencyPython notebooks, experiments, debugging, and reproducible results.
Strategic PracticeProblem reading, time management, written explanation, and presentation.