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Let's Build AI: Project Lab

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.

Apply Now

What is it?

Project Lab picks up where the classroom ends.

6 intensive sessions evening sessions, two expert facilitators work alongside teams to help them build and progress their scoped AI projects.

There are no lectures or repeated course content. Each session follows a practical build-and-unblock format, focused on resolving challenges, guiding technical decisions and keeping projects moving.

The programme is designed to address a common challenge identified through Let’s Build AI Season 1 and similar programmes: participants leave with strong ideas but can struggle to turn them into working solutions.

Who it's for

Who it's for

Project Lab is for teams ready to move from planning into building.

It is best suited to applicants who:

  • Have a clearly scoped AI use case
  • Understand the problem they want to solve
  • Can bring together business and technical perspectives
  • Have organisational support to take part
  • Can commit at least two hours between sessions to progressing the project
  • Have completed Digital Jersey’s AI Executive Leadership Programme or have equivalent experience

Teams should apply in pairs, covering both the business and technical sides of the build.

Before you apply

Each team must arrive with:

  • A scoped Golden Use Case
  • A completed Business Case Executive Summary
  • A clear understanding of data availability and access constraints
  • Organisational support to commit time to the programme
  • A commitment to at least two hours of build work per fortnight

Session one will test and refine your scope, rather than develop the use case from scratch.

Before you apply
How it works

How it works

Project Lab includes six two-hour evening sessions, held every two weeks at Digital Jersey.

Each session follows a practical build-and-unblock format. Facilitators work directly with teams to resolve technical issues, challenge assumptions and guide key decisions.

Supported technologies include:

  • Claude Code
  • Cursor
  • VS Code
  • Jupyter
  • GitHub
  • Hugging Face
  • PyTorch
  • Standard Python data and machine learning libraries

Using something else? Speak to us before applying.

The six sessions (suggest cards or numbered blocks):

Session 1: Project Kick-off & Blueprint
Present your Golden Use Case and test its scope, assumptions and feasibility. You leave with a validated project blueprint and agreed tooling.

 

Session 2: Tooling Setup & Hello World
Set up the accounts, APIs, connections and environments needed for your project. You leave with a working development environment, an initial workflow and finalised requirements.

Session 3: Prototype v1.0
Build the core journey of your solution, with facilitators helping to resolve technical issues and guide architecture decisions. You leave with a thin vertical slice working from end to end.

 

Session 4: Production Readiness & Governance
Test your prototype against data policies, human oversight, access controls, security and relevant JFSC and JCRA considerations. You leave with a Risk and Governance Canvas and a practical deployment plan.

Session 5: Agents, Memory & Iteration
Where appropriate, add agentic capabilities, logging, feedback loops, observability and governance guardrails. You leave with an improved Prototype v1.5, including error handling and feedback mechanisms.

 

Session 6: Showcase & Handoff
Present your final prototype to a panel and receive peer feedback. You leave with an adoption plan and a 90-day commitment to continue progressing the project.

Meet the facilitators

Two facilitators in the room at every session. Between them, they cover the full stack: tooling and infrastructure on one side, machine learning and data strategy on the other.

Vincent Sider

GetInference – Vincent focuses on AI tooling, infrastructure, and deployment. He helps teams cut through the noise of the modern AI stack and make pragmatic choices about what to build with, where to host, and how to ship something that actually runs in production.

Malcolm Mason

Jersey AI Forum – Malcolm focuses on ML algorithms, model selection, and data strategy. He helps teams match the right approach to the right problem and avoid the common trap of over-engineering simple cases into multi-year platform builds.

Timeline

1
Applications open:

July 2026

2
Applications close:

19th August 2026

3
Shortlist confirmed:

August 2026

4
Programme begins:

9th September 2026

5
Weekly evening sessions:

9th September to 21st October 2026 Wednesdays, 6pm to 8pm

6
Final showcase:

21st October

What you'll walk away with

What you'll walk away with

  • A working AI prototype
  • An adoption plan
  • A 90-day ownership commitment
  • Practical guidance on tooling, infrastructure, machine learning and data strategy
  • Support with governance and production readiness

Apply Today

Not sure if it's right for you?
If you want to discuss your use case before applying, or you haven’t done Part 1 but think Project Lab might still be a fit, get in touch. A short conversation is often the fastest way to find out.

Contact Sebastian Lawson 

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