Understand AI, then put it to work
From how machine learning actually works to giving a real robot the ability to see, recognize, and decide — AI taught as something you build, not just something you use.
Inside the AI track
AI & ML fundamentals
What machine learning is, how a model learns from data, and where it succeeds or fails.
Computer vision
Teaching a system to recognize objects, track motion, and interpret a camera feed in real time.
Programming for AI
Python and the core tools used to build, train, and test AI projects from scratch.
AI on real robots
Deploying a trained model onto a robot built in the Robotics track, so it can see and react.
Edge & embedded AI
Making AI work within the memory and power limits of small boards and microcontrollers.
Applied final projects
Students choose a real problem — vision, prediction, or automation — and build a working solution.
How the track progresses
Foundations
Programming basics and an intuitive introduction to how AI and machine learning work.
Computer vision
Build projects that detect, track, and classify what a camera sees.
Applied & embedded AI
Take a model beyond a laptop — optimize and deploy it to real, resource-limited hardware.
Capstone project
Combine everything into one applied AI project, often paired with a robot from the Robotics track.
Curious about AI?
Tell us the student's background — programming experience helps, but isn't required to start.