For school leavers — not coders

Before they arrive at university, most of their peers will already be using AI. This is the week your child learns to build with it, not just type into it.

Five days, live, online. No coding. No lectures. They arrive on Monday with a laptop. They leave on Friday with a working AI team they built themselves. They keep it.

Summer 2026 — 15 places

2 hours a day 5 days, Mon–Fri Online · laptop only

Days · Mon–Fri

2hr

Each day, live

Max cohort

£799

Less than a week of tutoring

By Friday

What your child will have.

Not a certificate. Not a score. Something they can open on a laptop and show you at the kitchen table.

A working AI team

A set of AI agents they built and named — one that researches, one that writes, one that checks and challenges. Configured for their degree subject or the track they chose.

A five-minute demo

Every student presents their AI team on Friday. By then it works, they understand how it works, and they can explain it to anyone.

An AI team they keep

The agents stay on their machine after Friday. They use them for coursework, research, applications, and personal projects. No subscription. No expiry. Theirs.

Day one

How AI actually works.

Set up their environment, interact with Claude, and understand what is really happening under the surface. Tokens, context windows, why models sometimes get things wrong. By the end of the day, they have run their first agent.

Day two

Thinking with AI.

Frame problems, structure reasoning, build a research workflow. How to get AI to show its working, check its own output, and iterate toward something genuinely good.

Day three

Building your AI team.

Define their first agent: give it a role, a set of instructions, a job. Then a second. Then a third. One researches. One writes. One reviews and challenges.

Day four

Choose your track.

Students pick the project that fits their future — entrepreneur or student track. A real startup toolkit or a personal research assistant tailored to their degree subject.

Day five

Ship something you're proud of.

Every student presents their AI team to the cohort. They leave with it, and with the shape of how to build the next one.

For parents

Your child won't arrive behind.

We are not a tutoring service. The programme is for bright, computer-literate young people heading to university. Most of them have used AI to summarise an article or draft a paragraph. None of them have built a system that does work for them. One week changes that. No coding. No lectures. A practitioner, a small group, and five days of building.

In one sentence:

"It's a one-week, two-hours-a-day online programme. They build a working AI system they will actually use at university. No coding. No theory first. They build from the first hour."

Live and human-led

Every session is delivered by a practitioner on a video call, not a pre-recorded course.

Small cohorts

Fifteen students maximum. Your child will be seen and spoken to, not processed.

No coding required

Students write instructions in plain English, on the machine in front of them. They build from the first hour. The week is the lesson.

Claude access included

Each student is issued an account for the duration of the programme. Billing handled by us.

This is for

The bright student who has never written a line of code.
The one heading to university, a competitive apprenticeship, or a gap year with intent.
The student studying anything but Computer Science — History, Law, Medicine, Economics, Business.
The one who knows AI matters but has no idea where to start.
The student who can commit two focused hours a day for one week.

This is not for

The A-level Computer Scientist who is already building.
The reluctant student. Curiosity is a prerequisite.
Anyone looking for exam tutoring, UCAS support, or grade prep.

No. The course assumes zero coding experience. Students write instructions in plain English. The goal is AI fluency, not software engineering.
Especially. AI is changing how research, writing, and analysis work in every field. A law student or medical student who can build AI agents for their workflow has a genuine advantage. The course is designed for exactly this student.
Students join a video call each day, like a small seminar. Maximum 15 per cohort. The instructor leads, students build on their own laptop. It is interactive, not a lecture.
Claude is an AI platform made by Anthropic, one of the leading AI research companies. It is the tool students use to build their agents throughout the course. Claude access is included in the course fee — there is nothing to set up or pay for separately during the programme.
Students leave with working projects on their machine and all course materials. After the course, Claude requires a paid subscription — plans start from around £18 per month. Students leave knowing exactly what they need and how to use it. What they build next is up to them.
No certificate. What they leave with is better: a working AI project on their laptop that they built themselves, can demonstrate to anyone, and can keep developing. That is a stronger proof of skill than any certificate.
Full refund, no questions asked.
Yes. Email hello@leaving.school and we will set up a two-payment schedule at no extra cost.
Free tutorials teach prompting, which is the equivalent of learning to type a Google search. This course teaches students to build AI agents, connect them into a working team, and use them for real tasks. The self-taught path takes months. This course compresses it into one week with a practitioner who has already done the work.

Choose your week

Fifteen places per cohort. Choose yours.

This is your preferred week. We'll confirm your place once dates are locked.

Before they arrive at university, most of their peers will already be using AI. This is the week your child learns to build with it, not just type into it.

What your child will have.

Students don't study AI theory. They build things.

Your child won't arrive behind.

Before you book.

Fifteen places per cohort. Choose yours.