Build Real
Work Like
The Industry
Not a course, Idea incubator.

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.
Reserve your school's place
  • 2WK
    Duration
  • 16
    Real Projects
  • 6H
    Daily
  • 3
    Age Pathways
The Problem
AI Is Reshaping Every Industry. Most Schools Are Still Teaching About It.
School leaders know this conversation is coming; from parents, boards, and students. Most available options fall into the same three traps.
Too Superficial to Be Credible
Introductory workshops produce good photos but no real learning outcomes. Students leave having heard about AI, not worked with it.
Too Theoretical to Matter
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.
Too Dependent on What You Don't Have
Most programs require trained teachers, lab infrastructure, or months of onboarding. NODO arrives complete, and runs in your classrooms from day one.
A Startup Incubator Model. Inside Your School.
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.
"Your students won't just be building school projects, they'll be doing the same work that companies like Google, Amazon, and Siemens are paying engineers to do right now."

Core Program Philosophy
  • Real Project Briefs
  • Daily Build Sprints
  • Team Standups
  • MVP Thinking
  • Industry Vocabulary
  • English-Only
  • Python + AI Hardware
  • Days 1–2
    Team Formation & Industry Briefing
    Projects assigned. Real companies introduced. Problem scope defined. Teams receive their first industry brief.
    1
  • Days 3–7
    Build & Prototype
    Supervised development sprints with daily team standups. Students build working AI solutions using the NODO AI Box.
    2
  • Days 8–9
    New Project Brief
    Teams receive their next industry project. The cycle repeats — each new brief at greater complexity, building on skills from the previous sprint.
    3
  • Day 10
    Final Build & Completion
    Students complete their final project, leaving with 3–4 working AI solutions built from real industry templates.
    4
*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.
Real Projects. Real Industry.

Students Build What the Industry Builds.

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.

Sectors: AI & Computer Vision / AgriTech / HealthTech / TransportSmart / InfrastructureVoice / NLP

  • Total Projects Available

  • 16

  • Projects Per Student

  • 3–4

  • Industry Categories

  • 6

  • Companies Referenced

  • 80+

  • Complexity Scales With

  • Grade Level

*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."
Daily Structure
6 Hours. Language →
Code → Build.
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.
  • 2H
    English Language
    Industry vocabulary, technical communication, and daily briefings — all in English. The same language students will use in their careers.
    1
  • 2H
    Python Programming
    Real code from day one. Students write the Python that directly drives their project build in block three — no abstract exercises.
    2
  • 2H
    AI Box Project Build
    Applied engineering on the NODO AI Box platform. Students implement, test, and iterate on their industry project — building something real, every day.
    3
Age Pathways
Three Pathways.
Same Industry Projects.
Scaled Complexity.
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.
Grades 5–7
Foundation
Max 20 students · 3 projects
Students learn how AI makes decisions — then build systems that make decisions.
  • Train simple ML models (k-NN, Decision Trees)
  • Basic computer vision: color detection and classification
  • Sensor and AI logic integration
  • Speech-to-text fundamentals
  • Python basics
>> Outcome
Students finish with 3 working AI projects — industry-modelled systems they built, tested, and can explain.
Grades 8–10
Applied AI
Max 20 students · 3–4 projects
Students build and improve real AI models — the full engineering workflow, not just the output.
  • Full ML workflow: train/test split and evaluation
  • Transfer learning with CNNs
  • Edge AI deployment
  • Data visualization
  • Applied Generative AI
>> Outcome
Students graduate with 3–4 working AI systems and a foundation for university-level AI coursework.
Grades 11–12
AI Engineering
Max 20 students · 4 projects
Students work at the level of junior AI engineers — designing architecture and deploying complete systems.
  • Neural network architecture
  • Custom model development
  • System design and optimisation
  • Multi-sensor fusion
  • AI ethics and bias detection
>> Outcome
Students complete 4 end-to-end AI engineering projects — meaningful portfolio work for university applications.
Program Dates
Two Sessions.
Summer 2025.
Schools may register for one or both sessions. Each runs the full two-week incubator program across all enrolled pathways simultaneously.
1 June – 12 June
On-site day program. Hosted at your school. All instructors and NODO AI Box units provided by NODO.
15 June – 26 June
On-site day program. Hosted at your school. All instructors and NODO AI Box units provided by NODO.
What Your School Gains
A Credible AI Offering. Without Building It From Scratch.
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.
Student Outcomes
  • 3–4 working AI projects per student, built on real industry templates
  • Hands-on experience with the same problems global companies are solving
  • Real startup vocabulary: MVP, prototyping, iteration, sprints
  • An English-immersive environment led by international instructors
Institutional Positioning
  • A credible, structured AI story for parents, boards, and prospective families
  • Communicable student outputs — not "they did AI," but "they built this"
  • Differentiation from peer institutions is still being evaluated
  • Priority access to the completed NODO platform for ongoing AI programs
School Provides
  • Classroom space
  • Reliable Wi-Fi
  • Student laptops or computers — one per student (school-owned or student-owned)
NODO Provides
  • All instructors and teaching staff
  • All NODO AI Box units and hardware
  • Full curriculum and project briefs
  • Complete end-to-end delivery
Why This Cohort
Limited to 20 Schools. By Design, Not Constraint.
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.
  • Priority Platform Access
    First access to the completed NODO AI platform at launch, ahead of general availability.
  • Preferential Pricing
    Cohort schools receive preferential pricing on future programs and long-term AI lab integration.
  • Direct NODO Team Access
    A direct channel to our team throughout, not a support ticket, a conversation.
  • Founding School Recognition
    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.
Register Now
Become One of the First 20 Schools
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.
Reserve your school's place