Can you put an AI qualification on your CV?

You have completed an online course, worked through some modules, maybe earned a digital badge. Now you are updating your CV and you want to show employers that you have genuine, demonstrable AI skills. The question is: what do you actually write, and will it hold up when a recruiter or hiring manager checks it?

This article explains exactly how to list an AI qualification on your CV so that it is verifiable, credible and says something meaningful about your capability. It also explains why a regulated qualification gives you something that a course completion certificate simply cannot.

The problem with "familiar with AI tools"

Open any job board and search for roles that mention artificial intelligence. You will find that the majority of applicants claim some version of the same thing: experience with AI tools, knowledge of machine learning concepts, familiarity with ChatGPT or similar platforms. These phrases have become almost meaningless because they cannot be checked. No recruiter can verify what "familiar with" actually means, and no employer can look up a self-described skill on any register.

That matters more than it used to. As AI becomes embedded in professional roles across sectors, from HR and administration to data analysis and digital support, employers are starting to distinguish between candidates who can demonstrate structured learning and those who cannot. A verifiable qualification line on your CV is one of the clearest ways to make that distinction.

If you are wondering whether a formal qualification in this area even exists, the short answer is yes. You can read more about what is available and how the regulated landscape has developed in our post on whether you can get a qualification in using AI at work, which covers the options clearly.

What makes a qualification verifiable?

In England, Wales and Northern Ireland, regulated qualifications sit on the Regulated Qualifications Framework (RQF). They are approved by Ofqual and assigned a unique qualification number, sometimes called a QAN or qualification accreditation number. That number appears on the Ofqual register of regulated qualifications, which is publicly searchable. Any employer, recruiter or background screening company can enter the number and confirm that the qualification exists, what level it sits at, which awarding organisation issued it, and what it covers.

This is the fundamental difference between a regulated qualification and a private course certificate. A course completion certificate tells the reader that you finished a course. A regulated qualification tells the reader that an independent awarding organisation assessed your competence against a published standard, that a regulator approved that standard, and that the evidence is on a public register.

For the line on your CV to be verifiable, it needs three things:

• The full regulated title of the qualification, exactly as it appears on the Ofqual register.
• The name of the awarding organisation.
• The qualification number.

It should also include the level, the year you completed it, and, where relevant, the name of the approved centre where you studied.

How to write a regulated qualification on your CV

The format is straightforward. Here is the structure to follow:

Key insight: A single well-formatted qualification line contains more verifiable information than a full paragraph of self-described AI skills. Write the full title, the awarding organisation, the qualification number, the RQF level, and the year. That is a line any recruiter can check in under two minutes.

An example of a correctly written line might look like this:

NCFE Level 1 Functional Skills Qualification in Mathematics, Qualification Number:, Awarding Organisation: NCFE, RQF Level 1, 2024, The Data and AI School of London.

Apply the same structure to any regulated qualification you hold:

1. Full regulated title, word for word.
2. Qualification number from the Ofqual register.
3. Awarding organisation.
4. RQF level.
5. Year of completion.
6. Approved centre name, if space allows.

You do not need to explain what the qualification covers in the line itself. If you want to add context, a brief bullet point beneath the entry is the right place for it. Keep that bullet factual: what you can now do, not what you felt you learned.

Which level should appear on your CV?

The RQF runs from Entry Level through to Level 8. Each level indicates the complexity and independence of the learning, not simply the subject matter. For working professionals updating their CVs, the level signals something specific to an employer who understands the framework.

Level 1 is broadly equivalent to GCSE grades 1 to 3. It demonstrates foundational competence. Level 2 is equivalent to GCSE grades 4 to 9, indicating solid working knowledge. Level 3 sits alongside A Levels, and Levels 4 and 5 are higher education territory, comparable to the first and second years of a degree respectively.

At DAIS, our provision runs from Entry Level 3 through to Level 5. For someone building a digital foundation before moving into data or AI-related work, an entry point such as the NCFE Level 1 Digital Functional Skills Qualification provides a regulated credential that sits clearly on the framework and reads unambiguously to any employer familiar with the RQF.

Where AI skills fit within the Digital Functional Skills framework

It is worth being precise about this, because it affects how you represent your learning accurately. Digital Functional Skills qualifications cover the practical digital competencies that underpin workplace effectiveness: using devices and handling information, creating and communicating content, transacting online, and applying problem-solving approaches in digital environments. As workplaces integrate AI tools into everyday workflows, those competencies increasingly overlap with AI literacy.

Completing a Digital Functional Skills qualification demonstrates to an employer that you have been assessed against a published, regulated standard. When you combine that with continued learning in applied AI contexts, you are building a portfolio of verified credentials rather than a list of self-reported skills.

For professionals who are not in technical roles but who are working with AI tools daily, whether in HR, marketing, finance or administration, this kind of structured foundation is often more relevant than attempting to position yourself as a data scientist. Our blog post on AI at work without a technical job explores exactly this territory and is worth reading alongside this article.

Comparing how qualifications and course certificates appear to employers

Feature	Regulated Qualification (RQF)	Private Course Certificate
Publicly searchable on Ofqual register	Yes	No
Unique qualification number	Yes	No
Independently assessed	Yes, by an Ofqual-approved awarding organisation	Varies; often self-assessed or automated
Recognised level within UK framework	Yes, RQF level stated	No equivalent
Recognised by UCAS, employers and DfE	Yes	Not universally
Verifiable by background screening companies	Yes	Rarely
Can be listed with a qualification number on a CV	Yes	No

Building toward higher technical qualifications

Digital Functional Skills and similar foundational qualifications are valuable in their own right, but they are also a starting point. The UK government has invested significantly in Higher Technical Qualifications (HTQs), which sit at Levels 4 and 5 and are designed to meet specific employer-identified skills needs, including in data, AI and cyber security. If you are thinking beyond the immediate CV update and planning a longer arc of professional development, understanding how these qualifications connect is important. Our detailed explanation of Higher Technical Qualifications and the UK's approach to AI and tech careers sets out how the framework operates and where HTQs sit relative to degrees and apprenticeships.

For those considering more senior or specialist directions, it is also useful to know that AI governance and ethics has emerged as a distinct career pathway with its own qualification landscape. The AI ethics and governance career path in the UK is developing rapidly and often requires professionals who can demonstrate both technical literacy and regulated, verifiable credentials.

The Functional Skills route for professionals who need to build foundations

Not every professional starting out with AI tools has a strong existing foundation in English or mathematics. That matters because many data, AI and digital roles require clear written communication and numerical reasoning as a baseline. Functional Skills qualifications address this directly.

The NCFE Level 1 Functional Skills Qualification in Mathematics, Qualification Number, provides a regulated credential in mathematical reasoning that is recognised across further and higher education and by employers. It also creates a progression pathway toward Level 2, which is the standard that many employers and further education providers require as a condition of entry.

Similarly, the NCFE Level 1 Functional Skills Qualification in English supports professionals who want to demonstrate their communication skills in a verifiable, regulated format rather than relying on informal claims. Both sit clearly on the RQF and both appear on the Ofqual register.

Practical guidance: the CV section for qualifications

If you are restructuring your CV to include regulated qualifications, here is a practical approach:

• Create a dedicated section titled "Qualifications" or "Regulated Qualifications" rather than bundling everything under "Training and Development".
• List qualifications in reverse chronological order, most recent first.
• Write each entry using the full regulated title, qualification number, awarding organisation, level, and year.
• Do not abbreviate the title. "NCFE L1 Digital" is not a verifiable entry. "NCFE Level 1 Digital Functional Skills Qualification" is.
• Where you have non-regulated course certificates that are genuinely relevant, list them separately under a heading such as "Professional Development" so that the distinction between regulated and non-regulated learning is clear.
• If you have completed learning that is directly relevant to a role, add one factual bullet beneath the qualification entry describing what you can do as a result.

Recruiters and hiring managers can read CVs quickly. A clearly structured, verifiable qualification entry takes seconds to process and seconds to check. That readability is part of what makes it effective.

Why this matters more now

The UK government's AI Opportunities Action Plan signals a sustained national commitment to building AI capability across the workforce. That creates both opportunity and increased scrutiny. As more professionals claim AI skills on their CVs, the ones who can point to a regulated qualification number on a public register will occupy a different category from those who cannot. Our analysis of what the UK Government AI Opportunities Action Plan means for your career provides useful context on where that policy direction is heading and what it means for working professionals making decisions about upskilling now.

The short version is this: the direction of travel is toward verified, structured AI capability. Getting a regulated qualification on your CV now, and knowing how to present it correctly, is a straightforward way to position yourself ahead of that curve.