Online course
AI for Art
Two animated films selected for the AI Youth Spring Festival, hosted by WaytoAGI.
Programmes
Every programme starts from a real problem and ends in real work.
No new cohort is currently open. If you want to talk about a student or a school, write to us.
Our teaching is built on three capacities: thinking, making, explaining. School workshops, community workshops and online project courses are the same method in different rooms.
Our Programmes
Independent school partnership
Plymouth College · Year 9 AI Workshop
One morning, 22 AI prototypes, briefs drawn from real school problems.
In-person workshops
Youth Creator Workshop · Manchester / London
31 projects, ages 8 to 15, from first idea to something you can play with.
Online competition programme
Coolest Projects sprint course
Featured project: Study Compass, by Gloria.
School partnership
Working with schools
One morning in June 2026, around thirty Year 9 pupils at Plymouth College built 22 working AI prototypes in two hours. The brief: design a digital product to help a new Year 7 through their first week.
Pupils wrote down their own memories before touching AI, then compared them with the general answer AI gave. Judgement began in that gap: they corrected AI's colours, cut irrelevant features, questioned answers that were too generic.
Afterwards, the school asked to run it again, and to extend the training to staff.
Formata half-day workshop, two groups in parallel · built around the unit the school is already teaching · school staff present throughout · optional teacher CPD
Discuss a partnershipMethod
Four stages
Four stages run through every format we teach. In a school they compress into one morning; online they unfold across five weeks.
01
Discover the question
Train your child to ask a good question: what do I want to solve, and why is this worth doing.
This is the starting point for the whole project. An insightful question is rarer than any technical skill, and it makes the biggest difference. Rather than rushing to build, we spend time finding a direction that is truly worth pursuing.
- Start from their own life, interests, or learning, and find a real problem
- Turn a vague idea into a clear project direction
- Complete a project proposal explaining what they want to solve and why it's worth doing
02
Build with technology
Understand machine learning principles, then use AI tools to turn an idea into something that actually works.
Two sessions moving from "gets it running" to "going deeper", building confidence first, then adding complexity. Tools are chosen for accessibility so that technology never blocks creativity.
- Understand the basic principles and logic of machine learning
- Choose the right AI tools (no-code / Google AI Studio / vibe coding)
- Complete the first working version of the project
03
Design and refine
Make the work beautiful, usable, and something people genuinely want to use.
This module is easiest to overlook, but has the biggest impact on the final quality of the work. We dedicate two full sessions to it, because a project that real users can engage with is far more convincing than one that is technically complex but hard to use.
- Learn basic UI/UX design and aesthetic principles
- Test with real users and collect feedback
- Iterate based on feedback so the work communicates clearly and holds up to scrutiny
04
Present and publish
Present the work publicly. Stand up and explain the problem, the solution, and the highlights.
The final session is a small showcase modelled on a Silicon Valley product launch. Each student presents their project for a few minutes, witnessed by parents and classmates. This experience transfers directly to future university applications, interviews, and collaborative work.
- Prepare and deliver a mini project showcase presentation
- Compile submission materials for the Coolest Projects online gallery
- Receive a public project page, participation certificate, and reviewer feedback
Online courses
Cohort one · AI for Art
Eight students submitted ten works; two animated films were selected for the AI Youth Spring Festival, hosted by WaytoAGI.
Cohort two · Coolest Projects sprint course
Two students completed the five-week sprint and submitted to the AI category. Study Compass, by Gloria, is exhibited in the public gallery.
See it on Coolest ProjectsWho it's for
Best for students ready to make real work.
This programme creates the most value when students want to turn ideas into showcase-ready projects.
- Students with genuine curiosity who aren't yet sure where to start
- Young people who enjoy writing, design, storytelling, research, or making
- Families who want evidence of growth richer than a participation certificate
- Students aged 8-14, comfortable working in small online groups
No prior coding background is required. Technical depth is adjusted to match each student's starting point.
Practical questions
Frequently Asked Questions (Q&A)
Does my child need coding experience?
No. We adjust the technical depth to match each student's background. Curiosity and willingness to revise matter more than prior programming experience.
What age range is this designed for?
Primarily for students aged 8-14. We adjust pacing and project complexity within that range. Write to us to discuss your child's specific context.
Is this only about learning AI tools?
No. Tools are part of the process. The core focus is creative thinking, project judgment, and the ability to communicate ideas clearly. AI is the medium, not the subject.
How are fees set?
Fees depend on the format and the group. Write to us and we will set them out clearly.
Talk to us about a student, or a school.
The next cohort has no date yet. Write and tell us about the student's interests, or your school's context.
Write to us