Programmes / AI, Technology & Entrepreneurship
Programme · AI, Technology & Entrepreneurship
A three-weekend online introduction to quantum computing and quantum machine learning, where scholars code in Python and PennyLane and build a team quantum classifier. A three-weekend online programme for Grades 8 to 12 that takes scholars from qubits and superposition to working quantum machine learning code. Across six live sessions, students write and run quantum circuits in Python and PennyLane through Google Colab, with nothing to install. They study entanglement, quantum gates and how machines learn, then work in small teams to build, train and evaluate their own quantum classifier. The programme closes with a team showcase of the final project and a Certificate of Completion. No prior coding or physics experience is required.
Next cohort starts Sat, 14 Nov 2026 · early-bird USD 499
Cohorts of Small live cohort
Live, mentor-led sessions - worked problems and real output, not lectures.
A three-weekend online introduction to quantum computing and quantum machine learning, where scholars code in Python and PennyLane and build a team quantum classifier. Every session is live and mentor-led, with discussion instead of lecture.
Across 6 days, students produce work rather than notes - cases, drafts, builds or analyses depending on the programme.
Cohorts are kept small so mentors know each student by name and push them at the right level.
A final project or presentation your child can put in front of a university, a school or you.
Named, practised skills - grouped the way universities read them, tied to how each is used in this programme.
How your child breaks a problem down before touching it.
Practised on live problems in every session - never taught as theory.
Mentors make your child justify each step out loud before moving on.
Writing and speaking so an adult expert takes them seriously.
Rehearsed in front of a mentor and peers, then corrected on the spot.
The hands-on craft that turns an idea into a finished artefact.
Used directly on the work your child hands in across 6 days.
Learnt by building the real artefact, not by following a tutorial.
Refined through revision rounds until the output is portfolio-ready.
Deadlines, teams, feedback - the habits universities and employers notice.
Built through real deadlines and written mentor feedback.
Sample briefs from recent cohorts - the actual work that comes out of the programme, not a syllabus.
“Can your child use ai, technology & entrepreneurship thinking on a problem they have never seen?”
What they hand inWorked problems and short write-ups reviewed by the mentor each session.
Early sessions“What is worth building in ai, technology & entrepreneurship in 6 days?”
What they hand inA finished programme project - the piece that goes into the portfolio.
Middle of the programme“Can they explain the work to someone who was not there?”
What they hand inA live presentation plus mentor feedback in writing.
Final sessionBuilder evidence: something that runs, with a repo and a demo behind it. By the end of Quantum Machine Learning Programme, the aim is simple: a working prototype, a public repo and a two-minute demo video.
The point isn't the certificate. It's the line a family can honestly write afterwards - and the artefact sitting behind it.
"My child is interested in ai, technology & entrepreneurship."
Nothing an admissions officer can check.
"My child completed Quantum Machine Learning Programme and finished a short project or presentation to close the programme."
A line with an artefact behind it.
Exploration, cheaply and quickly. Short live programmes let a child test a field over a couple of weekends before committing months to it - and they are the natural first step in Grades 5–8.
Builder evidence: something that runs, with a repo and a demo behind it.
Session times shown in Dubai time (GMT+4) with US Eastern alongside. Fees are correct at time of publishing - confirm on the programme page.
Quantum Machine Learning Programme is taught live by mentors from leading universities and partner organisations - never pre-recorded. Small cohorts mean your child is spoken to by name, not counted in an audience.
It is designed for Grades 8–12. No prior background is assumed - mentors calibrate to the cohort in the first session.
6 days in total, with live sessions live session times confirmed on registration plus light preparation in between. It is built to sit alongside school.
Tell the team in advance and they will share the materials and arrange a catch-up so your child rejoins without falling behind.
Places are confirmed on the Quantum Machine Learning Programme application page. Fees shown here are correct at time of publishing - always confirm on the programme page before paying.
