If you're a Grade 8–12 student wondering whether this is for you — read on. We tried to write this without the parent-voice most education sites get stuck in.
What you'll actually do
Build, not just talk about
Real AI projects you can show — chatbots, research tools, automations. Your work goes on the public internet. Your friends can open it on their phones.
Get real mentorship
Working AI engineers and senior university faculty — not generic tutors reading off slides. Weekly 1:1s. Direct feedback on real work.
Get paid (eventually)
Top performers get invited into AI Studio. Paid AI work at age 16+. Real clients, real stipend.
Three paths, depending on what you want
Everyone starts the same way: in AI Labs — our foundation program. From there, you pick what fits your goals.
AI Labs
Build small AI projects end-to-end. Learn to think with AI, not just type prompts at it. Multiple courses, multiple formats — find what fits your schedule.
University Track
Aiming at competitive CS, Data, or Health Tech programs? Leave with a real portfolio and a research artifact you can talk about in an admissions interview.
Industry Track
More interested in working — internships, real teams, shipping? We prep you for the interviews and day-one realities of a junior role.
AI Studio — where we pay students to ship real work
Top performers from University Track or Industry Track get invited into AI Studio. Real client engagements from external companies. You get paid (stipend, age 16+, WSIB-covered), you ship under a senior practitioner, and you mentor younger AI Labs students. Learn · Coach · Deliver.
What we won't do
- Tell you AI is magic. It has real limits and real failure modes — you'll learn both.
- Hand you a chatbot and call it learning. You'll build, write, and explain. The chatbot is a tool, not the lesson.
- Promise you'll get into your dream school. We can't. We can give you the work that makes the application a real conversation.
- Filter by whether you're a "coding kid." We care if you'll show up, ship something, and be honest about what you don't know yet.