Your students won't just study AI solutions, they'll build the same technology that companies like Google, Amazon, Siemens, and IBM are paying engineers to build right now. Two weeks. Real projects. Real tools. In your classrooms.
School leaders know this conversation is coming; from parents, boards, and students. Most available options fall into the same three traps.
Introductory workshops produce good photos but no real learning outcomes. Students leave having heard about AI — not worked with it.
Academic AI curricula focus on concepts and case studies. Students learn what AI does in the world — but never do what AI engineers actually do.
Most programs require trained teachers, lab infrastructure, or months of onboarding. NODO arrives complete — and runs in your classrooms from day one.
NODO doesn't run a course. It runs an incubator. Students operate as startup teams, receiving real industry project briefs, building working solutions, and iterating through daily build sprints.
The NODO AI Box provides the hardware and software platform. The 6-hour daily structure provides the container. What happens inside is real engineering work.
Projects assigned. Real companies introduced. Problem scope defined. Teams receive their first industry brief.
Supervised development sprints with daily team standups. Students build working AI solutions using the NODO AI Box.
Teams receive their next industry project. The cycle repeats — each new brief at greater complexity, building on skills from the previous sprint.
Students complete their final project, leaving with 3–4 working AI solutions built from real industry templates.
Each day mirrors a real product development cycle: Language → Code → Build. Students spend 2 hours on English technical communication, 2 hours on Python programming, and 2 hours on applied AI project work using the NODO AI Box. All instruction delivered in English by native English-speaking international instructors.
Every project in the NODO curriculum is modelled on a real commercial product, the same technology that funded companies are building and deploying right now. Students don't simulate the work of engineers. They do it.
Projects are assigned by age pathway and scaled in complexity. Each student completes 3–4 projects over the two weeks. Company badges show market cap or funding raised.
Students leave the program having built working AI systems — not completed worksheets. These are portfolio-grade outputs modelled on technology from some of the world's most recognized companies. That's a different story to tell than "my child did an AI course."
Every day mirrors the incubator's rhythm. Students work in the language of the industry, write the code that powers AI, then apply it directly to their current project build — in sequence, by design.
Industry vocabulary, technical communication, and daily briefings — all in English. The same language students will use in their careers.
Real code from day one. Students write the Python that directly drives their project build in block three — no abstract exercises.
Applied engineering on the NODO AI Box platform. Students implement, test, and iterate on their industry project — building something real, every day.
Each pathway receives real-world project types — complexity scales with grade level. A Grade 6 and a Grade 11 student both work on industry-equivalent AI problems, each at the edge of their capability.
Students learn how AI makes decisions — then build systems that make decisions.
Students finish with 3 working AI projects — industry-modelled systems they built, tested, and can explain.
Students build and improve real AI models — the full engineering workflow, not just the output.
Students graduate with 3–4 working AI systems and a foundation for university-level AI coursework.
Students work at the level of junior AI engineers — designing architecture and deploying complete systems.
Students complete 4 end-to-end AI engineering projects — meaningful portfolio work for university applications.
Schools may register for one or both sessions. Each runs the full two-week incubator program across all enrolled pathways simultaneously.
On-site day program. Hosted at your school. All instructors and NODO AI Box units provided by NODO.
On-site day program. Hosted at your school. All instructors and NODO AI Box units provided by NODO.
Schools that move early on AI education don't just prepare their students better — they communicate something important to parents, prospective families, and peer institutions.
This is the inaugural delivery of the NODO program — deliberately small, closely supported, and directly overseen by our team. Every participating school works with us throughout.
First access to the completed NODO AI platform at launch — ahead of general availability.
Cohort schools receive preferential pricing on future programs and long-term AI lab integration.
A direct channel to our team throughout — not a support ticket, a conversation.
A formal record of participation as a founding NODO school, and the institutional positioning that carries.
We are not asking schools to take a risk on an untested idea. The curriculum is built. The projects are defined. The instructors are trained. The equipment is ready. The cohort limit exists because quality delivery requires it — not because the program is unfinished.
Your students could be building the same AI solutions that Google, Amazon, and Siemens are deploying globally. Two weeks. Your classrooms. No financial commitment required to start the conversation.