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Let’s Build AI

  • Starting Wednesday 9th September
  • Free
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Overview

Project Lab picks up where the classroom ends. The AI Executive Leadership Programme gives you the strategic foundation. Project Lab helps you actually build the thing.  This isn’t a course. It’s a working lab. Six biweekly evening sessions, hosted at Digital Jersey, where two expert facilitators sit alongside small teams and help them build, debug, and deploy real AI solutions for their organisations.

No slide decks on prompt engineering. No vendor demos. You arrive with a scoped problem and leave with a working prototype.  Every previous AI training programme in Jersey has revealed the same gap: participants leave with enthusiasm and ideas but struggle to turn them into working solutions. Scope creeps, regulatory questions go unanswered, and the build phase quietly stalls. Project Lab is built to close that gap.

Six expert-led build sessions for Jersey businesses ready to ship AI. Apply for Project Lab, the practical extension to Digital Jersey’s AI Executive Leadership Programme.

 

Dates

Wednesday 9th September – 6:00pm – 8:00pm

Wednesday 16th September – 6:00pm – 8:00pm

Wednesday 23rd September – 6:00pm – 8:00pm

Wednesday 30th September – 6:00pm – 8:00pm

Wednesday 7th October – 6:00pm – 8:00pm

Wednesday 21st October – 6:00pm – 8:00pm

Cost

Free to Digital Jersey Members

Course contents

Project Lab is for serious builders. You’ll get the most out of it if you are:

  • A graduate of Digital Jersey’s AI Executive Leadership Programme, or have equivalent experience
  • Sitting on a real, scoped AI use case at work that you have the authority to deliver
  • Comfortable with technical tooling, or paired with someone who is
  • Prepared to spend at least two hours between each session moving your build forward. Each session gives you dedicated time with expert facilitators, but you’ll naturally spend additional time between sessions as your project develops and gains momentum.

Applications are accepted in pairs. We want both the business owner and the technical builder in the room. That’s how prototypes actually ship.

Meet the lecturer

Malcom Mason

    Highly motivated professional with over 20 years of IT experience within the Cloud, Data Science, Software, Managed Services, Global Telecommunications and UK Defence arenas. Passionate about driving the continued evolution of IT to where it becomes a natural extension of the customer. Carries a successful track record in architecting and evolving Cloud, Data, Managed Service and Software products to meet customer business and IT needs. Consistently pushing the boundaries for next generation IT Services including Deep Learning and Narrow AI solutions. Author and co-author of papers for the ITU-T AI for Environmental Efficiency working group. A lifelong learner, devoting the majority of time, outside of work and family life, to advanced Data Science activities.

    Vincent Sider

      Vincent has 19 years experience as a digital strategist and marketing practitioner, helping organisations define and build their digital strategies and improve their digital marketing. He has worked globally with some of the world’s leading organisations developing world-class digital marketing as Head of Strategy for British Telecom then Vice President for Social Media at the BBC and Head of TopGear.com, Adviser at the Royal Foundation and Board Member of its digital steering group. He is an award-winning lecturer and an alumnus of Mines ParisTech.

      Skills Required

      Comfortable at the command prompt, and computer literate. Access to a commercial LLM, such as Anthropic Claude, Google Gemini or ChatGPT. Basic python skills may be beneficial, but not essential.

      Before you apply

      Project Lab works because everyone arrives prepared. Session one is for building, not scoping. By the time the programme starts, each team must have:

      • A scoped “Golden Use Case” — a specific, well-defined AI problem you intend to solve
      • A completed Business Case Executive Summary explaining the value of solving it
      • A clear understanding of what data you’ll use and any access constraints
      • Sign-off from your organisation to commit time across the ten-week programme
      • A commitment to between-session build work, minimum two hours per fortnight

      If you haven’t done the AI Executive Leadership Programme, you can still apply, but we’ll need to talk first.

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