Ages 13–18 · 12 weeks
From first line of code to a working AI project.
A 12-week project pathway where students learn AI methods, build a working demo, write a research report and present their work — with every milestone visible along the way.
Is this your child?
Who it's for
- Students aged 13–18 curious about AI, data and technology
- No prior coding experience required for the foundations track
- Students who want a real project to show, not just a certificate
Not for you if…
- Students who want a certificate without writing code
- Families shopping for guaranteed journal publication
- Under-13s — this pathway starts at 13; begin with Robotics (Ages 10–18) or the Ages 7–12 Exploration stage instead
We would rather turn work away than take it dishonestly — that’s the deal behind every program here.
What it feels like
A typical session.
No mystery: this is how the time is actually spent, week after week.
- 10 minStand-up: what moved since last week, what's blocked
- 25 minConcept teaching for this week's method
- 60 minBuild and experiment time, mentor circulating
- 15 minReview: results on screen, decisions for next sprint
- 10 minRepository and notebook updated before leaving
The plan
The journey, milestone by milestone.
Published before we start. You always know where your child is.
- 01
Week 1
Kickoff
Diagnosis, topic selection and goal setting. Output: confirmed topic and a project plan with milestones.
- 02
Weeks 2–4
Foundations
AI and data fundamentals, methods and literature. Output: literature review and prepared dataset.
- 03
Weeks 5–8
Research
Modelling, experiments and iteration with regular reviews. Output: a working demo and mid-point review.
- 04
Weeks 9–11
Write-up
Research report, presentation deck and GitHub portfolio. Output: report, slides and a public code repository.
- 05
Week 12
Showcase
Final presentation and project archive. Output: showcase presentation and archived project record.
Who teaches this
Standards, not mystery.
Technical mentors with hands-on build experience who insist students write and explain their own code. No ghost-written projects — the demo-day question is always 'walk me through it', and our students can.
Every family meets the mentor before the program starts — named, in person or on a call. No ghost professors, ever.
What your child takes away
- Working AI demo
- Research report
- Presentation deck
- GitHub project portfolio
- Showcase presentation
Pairs with: Pairs with any Create program; a natural lead-in to Research Mentorship
We publish what we practise
Read how we think first.
Free guides from this program's playbook — judge the thinking before you book anything.
What's included
The structure, before you commit.
- Mentor-led cohort sessions on a published schedule
- Lab time at our campuses — or remote participation
- Weekly build reviews and honest critique
- Published milestones — the plan before we start
- Progress updates for parents at every stage
- The deliverables on this page — finished, kept, archived
Every pathway is tailored.
Duration, depth and coaching are shaped around your child’s starting point and goals. We’ll walk you through the structure — and the investment — in your consultation.
Straight answers
Questions parents ask.
Does my child need to know how to code?
No. The first weeks cover foundations. Students with experience start from a more advanced baseline.
My child already codes. What does the advanced track look like?
Placement starts from the student's actual level, not the syllabus. Experienced students skip the foundations and take on a more ambitious question — typical directions include training an image classifier on a self-collected dataset, building a search tool over a personal archive, or a generative system with its own evaluation. The milestones stay the same; the ceiling moves.
Will the project be published in a journal?
Publication is not the goal and we never promise it. The goal is a working project your child can explain, demo and build on.
Is it a class or an individual project?
Both, in sequence: cohort foundations first, then each student's own question with mentor guidance. The demo your child presents at the end is theirs — same milestones, personal project.
What happens after the 12 weeks?
The project becomes part of your child's portfolio and can extend into competitions, further research or university applications.
Often paired with
Where this fits in the pathway.
Pairs with any Create program; a natural lead-in to Research Mentorship
Ready to talk?
Tell us about your child and we'll map out where this program fits.
New here? Every age group can book a free trial class on WhatsApp first.