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— Careers —

Your first AI job is
closer than it reads.

The hard part of a first AI role is not the technology. It is convincing someone to take you seriously before you have the job that would have proved you. The Institute of AI, the UK's professional body for AI, closes that gap with free learning and an assessed credential anyone can verify, and while you are looking for work your accreditation pathway can be fully or partially funded.

— The route —

Four stages, and three
of them are free.

This is the whole path. Each stage produces something an employer can see, which is what stops the effort disappearing into your own head.

Stage oneFree

Get the language

You are not behind on AI. You are behind on its vocabulary, which is a much smaller problem. Work through Learn AI until job adverts stop containing words you skip over.

What it leaves you

Your Learn AI progress, tracked from the day you join.

Stage twoFree

Do one real thing

Apply AI to a task you genuinely understand, at work, for a charity, or for yourself. Small and finished teaches you more than large and abandoned, and it gives you something to describe in an interview.

What it leaves you

A worked example you can talk through without notes.

Stage threeOne-off fees

Get assessed

Sit the assessment at the level your practice supports, for a one-off £29.99. It is evidence-based and measured against a published competency framework, so a pass says something specific rather than something flattering.

What it leaves you

Post-nominals, a badge, and a public verification page.

Stage fourFree

Apply wider than you think

Most first AI jobs are not called AI jobs. They are existing roles with AI scope attached, in sectors you already know. That is the door, and it is wide open.

What it leaves you

A credential that travels across every one of them.

Stage three, funded

The only paid stage,paid once.

While you are out of work and looking, the Institute of AI offers fully or partially funded accreditation pathways, covering some or all of the one-off assessment and accreditation fees. You carry the credential through every application in your search.

— What is stopping you —

Four beliefs that are
quietly holding you back.

You need a computer science degree.

You need to demonstrate a standard. The competency framework says what that standard is, and it is not a degree.

You need to be able to train models.

Most AI roles in UK organisations are about applying, governing and evaluating AI, not building it from scratch.

You need years of AI experience first.

Student is the entry level of the ladder and exists for exactly this point in a career.

You need to pay for an expensive course.

Learn AI is free with no sign-up wall, and while you are job seeking your accreditation pathway can be fully or partially funded.

— Common questions —

Getting the first one, asked and answered.

What counts as a first AI job?+
More than the titles suggest. Analyst roles with model outputs in the pipeline, governance and assurance work, enablement and training, product roles deciding what an AI feature should refuse to do. Several of these want domain judgement more than code.
How long does this realistically take?+
Stage one starts today and stage three is available as soon as the framework language feels familiar, which for most people looking for work is weeks rather than months. Stage four runs alongside everything else.
Which level should I be assessed at?+
The one your practice supports. Student is the entry grade, Associate expects AI applied in real work with results you can describe. Read the competency framework and choose honestly, because a credential is only useful if it holds up under questioning.
Does the Institute of AI list jobs?+
Yes. Roles are posted on the careers pages, and members can see them alongside the pathways that lead into each kind of work.

Three free stages,
and one that pays for itself.

Join the Institute of AI free, work through the learning between applications, and arrive at the assessment ready. The fees for what follows can be fully or partially funded while you are looking.