Preparing young people for a world being reshaped by artificial intelligence.

A single integrated curriculum from kindergarten to Grade 12, owned by QAITI and built on our own competency framework. Artificial intelligence literacy and ethics, how AI systems actually work, and hands-on computing, coding and robotics are taught as one subject rather than assembled from separate courses.

Children today meet AI everywhere — in their schoolwork, their games, their conversations. That is not going to change, and nor should it. What they need is the judgement to know when to rely on it, when to challenge it, when to build with it, and when to set it aside and think for themselves.

We teach that judgement by requiring students to exercise it. Rather than being told that AI makes mistakes, they are put in situations where they have to find the mistakes themselves — investigating a claim, gathering evidence, testing a machine's answer against what they can verify. They learn to protect their privacy and personal data, to recognise bias, misinformation and deepfakes, to understand plagiarism and academic integrity, and to tell the difference between a machine's prediction and a person's decision.

Just as importantly, they learn where reliance should stop. Young people form habits around these systems quickly: asking first, accepting what comes back, and handing over decisions they could make themselves. We teach students to notice those habits in themselves and to keep their own reasoning in the loop. The aim is confidence, not avoidance: young people who use AI deliberately and stay responsible for their own thinking.

All of it is calibrated to how children at each age actually think and learn, and delivered in Arabic and English to a single shared standard.

Our centre for preparing teachers to teach artificial intelligence well. It works in two stages: the first builds the methodology and pedagogy of teaching AI, independent of any particular curriculum; the second is full preparation to deliver the approved curriculum in the classroom, for schools across the GCC and beyond.

It includes assessment of each teacher against defined standards, safeguarding clearance as a condition of deployment, and continuous development thereafter — not a one-off induction. The Lab prepares QAITI's own teachers. We do not train or manage a school's existing staff.

In that order, deliberately. We build a rigorous assessment protocol on our own framework, in both languages and equal in difficulty across them, with items and marking guides authored to specification rather than adapted. It produces progress evidence a teacher can act on and a parent can understand, and it is designed for integrity in classrooms where learners have access to AI.

Students in upper secondary can earn a recognised technology credential, mapped to the curriculum only after that curriculum has been approved. Certification bodies for the student track are under discussion. Certification is not a revenue line and never leads the design.

A creation studio for upper-secondary students, open outside school hours, where they design, prototype and build — alone or in teams with classmates — turning ideas into real projects. Equipped for serious making, and run by coaches rather than lecturers.

SparkLab exists because capability is proved by what a student can make, not by what they can recall. It is where the curriculum stops being a subject and becomes something a young person does.

Guidance provided to school counsellors, so that students can choose their paths from evidence of what they have actually done and shown in the programme, rather than from guesswork. The counsellor leads the conversation and human judgement leads the decision.

Any extension of this to aggregated, non-identifying workforce insight would follow only on the request and approval of government, and would never involve profiling an individual student.