A live, rigorous 3-week virtual summer program for students in grades 9 through 12. Build real AI projects from home. No experience required. Real results guaranteed.
Each week builds on the last — from visual AI tools with zero code to deploying a fully original AI application live on the internet.
Core AI concepts, hands-on model building, and interactive AI output from day one. No code required. Students train their first image classifier using their own webcam data.
Guided Python sessions introducing ML pipelines, model training, and deployment basics. Pre-built templates with plain-English comments keep every student on track.
Students independently design and deploy a real-world AI application — chatbot, image classifier, text generator, or recommendation app — and present live at the final showcase.
Most youth programs introduce concepts. This program delivers working results every student can point to on a college application, resume, or portfolio.
Presentation-quality project for college applications and resumes
Verified completion credential from a credentialed Director of AI
Lifetime access to a growing network of young AI builders
Director of AI and Advanced Analytics leads every live session
A live, shareable project URL students own and keep forever
Two sessions, identical curriculum. Pick the dates that fit your summer. Founding price of $397 ends May 16 — general admission is $497.
| Dates | June 17 – July 7, 2026 |
| Week 1 | June 17–23 — AI Foundations |
| Week 2 | June 24–30 — Machine Learning |
| Week 3 | July 1–7 — Applied AI Capstone |
| Showcase | Tuesday, July 7 |
| Students | 30 maximum |
| Hours | Mon–Fri, 12:30–3:00 PM EST |
| Dates | July 8 – July 28, 2026 |
| Week 1 | July 8–14 — AI Foundations |
| Week 2 | July 15–21 — Machine Learning |
| Week 3 | July 22–28 — Applied AI Capstone |
| Showcase | Tuesday, July 28 |
| Students | 30 maximum |
| Hours | Mon–Fri, 12:30–3:00 PM EST |
Everything you need to know before enrolling.
No. The program is designed for students with zero prior coding or AI experience. Week 1 uses entirely visual tools with no code. Code is introduced in Week 2 through guided templates with plain-English comments.
A laptop or desktop computer is required. Chromebooks work. Tablets do not — tools require a full browser environment. A stable internet connection of at least 5 Mbps is needed.
A session recording link and that day's materials are automatically sent to any student who misses. The TA notes the absence and the COO reaches out personally to ensure the student stays on track.
The curriculum is designed and delivered by Genixis's Director of AI and Advanced Analytics. A part-time Teaching Assistant provides live technical support throughout all session hours.
On the final Tuesday, each student presents their deployed AI project live in a 4-minute walkthrough — sharing screen, demonstrating the live URL, and explaining their AI technique. Parents are welcome to attend.