For institutions

Five days. Something real to present.

A beginner-friendly programme where students learn AI by doing. Over five days, at one to two hours a day, they work with real tools, write their own prompts, build a real project and present it at a student showcase. It runs online, in person or hybrid, and is designed for schools, colleges and universities.

AI is easy to add to a timetable and harder to teach

AI turns up in conversation long before it turns up in coursework, and most of what students meet is passive. This programme takes the opposite approach. Five days, one to two hours a day, spent using real tools, writing structured prompts and building something students can stand up and present at the end. No prior experience is assumed, and the format flexes to your timetable.

What you get

Four things, done properly.

Hands-on grounding in the tools

Students explore what AI is and how prompting works, then get hands-on with Claude, Google AI Studio, Lovable, Stitch and Replit. They leave able to write structured prompts with role, task and context, and with a working sense of responsible, safe AI use.

A working AI solution for a real business

Each student picks a real business, a clinic, a café, a tuition centre, and designs an AI solution end to end. Later in the week they go deeper into AI assistants, no-code app building and simple automations they can apply to the same business.

A complete AI marketing campaign concept

Students use AI for competitor research, hooks, social posts and lead magnets, then assemble the pieces into a full campaign concept rather than a set of one-off outputs.

A final project and student showcase

Every student prepares and presents their AI project with a clear problem, workflow, prompt library and expected outcome. The showcase is the final output of the week.

Process

How the work runs.

  1. 01

    We agree the shape of the programme with you: your students, your timeline, and whether it runs online, in person or hybrid.

  2. 02

    Day 1. Students explore what AI is, how prompting works, and get hands-on with Claude, Google AI Studio, Lovable, Stitch and Replit.

  3. 03

    Day 2. Each student picks a real business, a clinic, a café, a tuition centre, and designs a working AI solution end to end.

  4. 04

    Day 3. Students use AI for competitor research, hooks, social posts and lead magnets, and build a complete campaign concept.

  5. 05

    Day 4. Students go deeper into AI assistants, no-code app building and simple automations they can apply to real businesses.

  6. 06

    Day 5. Students prepare and present their final AI project with a clear problem, workflow, prompt library and expected outcome.

Fit

Worth a conversation when…

  • Universities, colleges, high schools and private schools that want students using AI rather than only hearing about it.
  • Training institutes and bootcamps adding a practical AI module to an existing programme.
  • Career development departments and innovation labs looking for a short, project-based format.
  • Student clubs, youth programmes and community programmes running a focused week.

Not a fit

Probably not us when…

  • You want an advanced engineering or research course. The programme is beginner-friendly by design.
  • You need a full-semester syllabus. This runs across five days at one to two hours per session.
  • You want lectures only. Students spend the week building, and the week ends in a showcase.
  • You want to book without a scoping conversation. The programme is shaped around your students, timeline and delivery format.

Questions

What people ask first.

How long is the programme and how is it delivered?

Five days, at one to two hours per day. It can run online, in person or hybrid, whichever fits your timetable and your students.

Do students need any prior AI experience?

No. The programme is beginner-friendly. Students start with what AI is and how prompting works, then build from there.

What do students actually walk away with?

The ability to explain AI clearly, write structured prompts with role, task and context, use modern AI tools for research, design and content, spot practical AI use cases in real businesses, design simple AI assistant concepts, create AI-generated marketing campaigns, present a final AI project, and understand responsible and safe AI use.

What happens after we get in touch?

Share a few details about your institution and we will come back within 48 hours with a tailored plan built around your students, timeline and delivery format.

This page describes the programme and what students build in it, not measured results: what a cohort gets out of the week depends on the group, their starting point and the time your institution can give the sessions.

Next

Where this connects.