Can you get a qualification in using AI at work?

Almost everyone is now expected to use AI at work, and almost nobody can prove they can. Job adverts ask for AI skills without defining them. Employers run a training afternoon and hope. Meanwhile the people who are genuinely good at this learned it by trial and error and have nothing on paper to show for it.

Can you get a qualification in using AI at work?

Yes, and this is recent. Until fairly lately, qualifications involving AI were aimed at people building it: data science, machine learning, degree level computing. What has appeared now are qualifications for people who need to use AI competently in an ordinary job. NCFE approved Level 2 qualifications in artificial intelligence for the workplace in September 2026, covering what AI is, how to use the tools and write prompts that work, how data sits underneath these systems, and how to use them ethically and responsibly.

What is the difference between a qualification and a certificate of completion?

A regulated qualification is recognised by Ofqual, sits at a defined level, and has a qualification number you can look up on a public register. A certificate of completion is issued by whoever ran the course and means only that you attended it. Both may teach you something useful. Only one of them is evidence an employer or a university can weigh. If you are unsure which you are being sold, our guide to checking a qualification is real covers it.

What would a Level 2 AI qualification actually teach you?

Less tool training than people expect, and more judgement. Choosing the right tool for a task. Writing a prompt that produces something usable rather than something that merely sounds confident. Understanding where the data behind a system comes from and what that means for the answers it gives. Knowing what you may and may not put into a tool at work. Recognising when an output is wrong, and knowing that checking it is your job rather than the tool's.

Who is it for?

People whose work already involves AI whether they chose it or not: administrators, marketers, customer service teams, teachers, people in small businesses who are automating a process or two and want to do it properly. It is not aimed at developers, and it does not require you to write code.

Do you need a technical background?

No. Level 2 qualifications of this kind have no formal entry requirements and assume no programming. Being reasonably comfortable with everyday office software is enough of a starting point. If your interest is in a technical career in the field rather than using these tools in your current job, our guide to breaking into AI in the UK without a computer science degree is the better place to start.

How are they assessed?

By portfolio of evidence rather than examination, marked internally and quality assured externally by the awarding organisation. In a subject moving this fast, that is the more honest form of assessment: you are showing what you can do with these tools rather than recalling facts about them in an exam hall. We have written more on what portfolio assessment involves.

Is it worth doing when the tools keep changing?

This is the objection we hear most, and it has the answer backwards. The specific tool you use this year will be replaced. The judgement will not: knowing how to evaluate an output, what to keep confidential, where bias creeps in, and when a human has to make the decision. Those transfer to whatever arrives next, which is precisely why they are worth certifying.