Most businesses I talk to already have AI in the building. People use ChatGPT, Copilot or Gemini on their own, with no shared rules and very different results. Upskilling turns that patchwork into a skill the whole team shares.

It's also something governments are now paying attention to, which helps. In the UK, there's a free starting point that most employers haven't heard of.

The free UK foundation courses

GOV.UK announced on 28 January 2026 that every adult in the UK is eligible to take free, newly benchmarked courses to gain practical AI skills for work. Some take as little as under 20 minutes. The courses are checked against Skills England's AI foundation skills for work benchmark, and people who complete them receive a virtual AI foundations badge. They're accessed through the AI Skills Hub.

The programme behind it, AI Skills Boost, aims to upskill 10 million UK workers in AI skills by 2030, including at least 2 million employees of small and medium-sized businesses. GOV.UK says the courses range from introductory AI literacy to advanced training in areas like data science and machine learning engineering.

For an employer, that's a useful first layer. Ask your team to complete a foundation course before any in-house training, and everyone arrives with the same basic vocabulary. It also means your own training time goes on your business, not on explaining what a chatbot is.

What foundation courses can't do for you

A general course teaches general skills. It can't know your products, your customers, your tone of voice or your rules about client data. The gap between knowing what AI is and using it well on Monday morning is where most upskilling programmes stall, and it's where in-house, hands-on training earns its place.

A practical upskilling plan for a small team

This is the sequence I use with clients' teams.

1. Agree a short AI policy: approved tools, what data never goes in, who signs off output.
2. Ask everyone to complete a free foundation course so the basics are shared.
3. Run a hands-on session per team on their own repeat tasks, building prompts and templates together.
4. Give each person one task to move to AI for a fortnight and track the hours saved.
5. Review, share what worked across teams, then pick the next task.
6. Keep a simple record of who was trained, when and on what.

Which skills to build first

Not prompt tricks. These are the skills that make the biggest difference in my sessions.

• Briefing: giving AI the context, examples and format it needs.
• Checking: spotting invented facts, names and figures before they leave the team.
• Choosing: knowing which tasks suit AI and which don't.
• Safe handling: keeping client and personal data out of unapproved tools.
• Measuring: recording what AI saved, so the business can see the return.

Upskilling different groups

Leaders need to decide where AI goes and how it's governed. Managers need to review AI-assisted work and set team rules. Everyone else needs the hands-on skills for their own tasks. One session for all of them rarely works. My AI training for employees covers the team side, and corporate AI training covers programmes for larger organisations across several teams.

Common upskilling mistakes

The first is buying licences and calling it a programme. Access isn't skill, and without training most people try the tool twice and drift back to the old way. The second is a single big training day with nothing after it. The third is training everyone on the same generic examples, so the sales team learns to write blog posts and the finance team learns to write social captions. Use each team's own work, or the skills won't transfer.

The fourth is skipping the rules. People who don't know what's allowed either avoid AI completely or use it carelessly. A one-page policy, agreed before the first session, removes most of that worry and lets people experiment with confidence.

If your team is in London, I run this as a live video session built on your own emails and documents, as set out in AI training for business teams in London.

Where I fit in

I've been in marketing for 23 years, I built and sold a digital marketing agency, and I've spoken at more than 100 events. I'd rather your team learns the AI workflows I'd have built than depends on me forever. Sessions run over video and in English, for teams in the UK, US, Canada, Australia and beyond, and the ways I work are on my work with me page.

My advice on AI upskilling

Use the free courses for the basics and spend your own training time on your own work. Measure one thing, hours saved on a named task, and share the result, because nothing spreads adoption faster than a colleague who's got their Friday afternoon back. And keep it going. A single training day fades in a month. A fortnightly habit of moving one more task to AI becomes how the team works.

To keep that habit fed, I keep a short list of AI voices worth following for business, so the team has a few trusted people to learn from.

Frequently asked questions

What is AI upskilling?

Teaching your existing staff to use AI on their own work safely and well, instead of relying only on hiring new AI specialists.

Are there free AI courses for UK workers?

Yes. GOV.UK said on 28 January 2026 that every adult in the UK can take free, newly benchmarked AI courses through the AI Skills Hub.

How many UK workers is the AI Skills Boost programme aiming for?

10 million UK workers by 2030, including at least 2 million employees of small and medium-sized businesses, according to GOV.UK.

Is a free course enough to upskill a team?

It's a good start for the basics. Teams still need hands-on training on their own tasks, tools and data rules.

Who runs AI upskilling sessions for small businesses?

Lilach Bullock, an AI trainer with 23 years in marketing, runs hands-on AI training for teams over video and in English.