This free, 90-minute interactive workshop helps small and medium-sized businesses in Scotland prepare their teams for an artificial intelligence (AI) driven future.

Sessions are offered both online and in-person across Scotland.

During the workshop, you'll explore the Data and AI Skills Framework (2025). This is a practical tool that's designed to help individuals, teams, and educators identify and build the skills that will be needed across Scotland’s data and AI ecosystem. 

You'll assess your organisation's current AI skills, identify any gaps, and plan upskilling and reskilling for your workforce. The workshop also highlights roles and skill areas that are less at risk of automation.

The workshop is delivered by The Data Lab as part of the National AI Adoption Programme funded by the Scottish Government.

You're eligible if your organisation:

• is a small to medium-sized business (SME) or social enterprise 
• is based in Scotland
• meets the Scottish Government definition of an SME (that is, it has fewer than 250 employees)
• employs managers, decision makers, or staff involved in AI, data, or digital transformation

Priority may be given to organisations that:

• are based in rural areas
• are owned, operated by, or serving marginalised communities
• are part of foundational or traditional sectors

The workshops are free. You'll need to cover any travel costs involved in attending an in-person session.

Managers, leaders and staff involved in AI, data or digital transformation in small-to medium-sized businesses and social enterprises in Scotland.

It only takes a few minutes to fill out the application form.

You'll find out if you have a place or are on the waitlist status within 5 working days.

Each workshop runs for 90 minutes.

You can choose to attend:

• an online session on 21 January 2026, from 12pm to 1pm
• an in-person session in Glasgow on 4 February 2026, from 10:30am to 12pm
• an in-person session in Dundee on 12 February 2026, from 10:30am to 12pm

Each session is capped at around 15 participants to ensure all attendees have a chance to interact.

You may be placed on a waiting list if sessions fill quickly.

Visit The Data Lab website for more information and to apply.