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Twelve role courses from the boardroom to the front line, an assessed practitioner tier where judgement is tested rather than assumed, one governance method that runs the same way against every obligation, and a blueprint library for scoping a system before you build it.
PROGRAMME AT A GLANCE
Content modules
Across 12 role cohorts
Narrated runtime
Per cohort timing record v3.55
Role cohorts
Foundation through TRACE Auditor
Applied Blueprints
20 sectors, 4 systems per sector
CALIBRATION
The duty sits with you, not your software vendor. It does not lift when the AI Act's enforcement powers begin on 2 August 2026, and the high-risk obligations that follow in December 2027 and August 2028 raise the bar again.
A board member and a front-line operator answer for very different things, so they need very different training. Train them the same and you over-serve one, under-serve the other, and evidence neither. Calibration is not a nicety here. It is the only way the duty is actually met, and the only way you can show that it was.
Every course is built to leave that proof behind. Learners keep the artefacts they produce, assessments are marked to a published pass standard, and the records map to the obligation they answer.
PATHWAYS
Every pathway starts with AIL 110 Foundation.
PRACTITIONER RIGOUR
An awareness course can be judged on completion. A practitioner course cannot. The person who classifies a system, signs a fundamental-rights impact assessment, or forms a validation opinion has to defend that call later, sometimes to a regulator. So the practitioner tier tests the judgement itself.
Each practitioner course runs on TRACE, the governance method at the centre of the programme, and ends with a capstone in which the learner takes a real system through the method from first triage to evidenced sign-off. Questions sit at application and evaluation, not recall. The pass mark is set at eighty per cent, higher than the rest of the programme, because supported competence and a defensible professional opinion are not the same thing.
A practitioner leaves with more than a certificate. They leave with a set of working templates, a maturity reading of their own function, and the habit of producing evidence as they go.
MATURITY MODEL
Overall maturity is the weakest dimension, not the average. A dimension scores at a level only when the evidence covers the whole population in scope.
| Level | Name | What it means |
|---|---|---|
| 1 | Ad Hoc | No formal AI governance programme exists; activity is reactive, if it happens at all. |
| 2 | Aware | Recognition without structure; governance has begun but is reactive and fragmented, with no single source of truth. |
| 3 | Structured | Defined programme: roles assigned, register reasonably complete, repeatable risk method, controls documented and partly implemented. Defensible in a regulatory conversation. |
| 4 | Managed | Fully operational governance: controls implemented and tested across all applicable systems, evidence generated systematically. The audit-ready state. |
| 5 | Leading | Governance embedded in culture and operating processes; the function generates strategic value and shapes practice ahead of need. |
OUTCOMES
Proof, not just training. Every course leaves evidence mapped to the obligation it answers, so completion is something you can show, not just assert.
The right depth for each role. Twelve calibrated courses mean no one is over-trained or under-trained, and the spend lands where the accountability is.
Judgement where it counts. The practitioner tier tests the very calls a person has to defend later, so the signature on a classification or an opinion is one that holds.
Current with the law. Content reflects the operative position, including the deferred high-risk dates, so you are not teaching last year's rules.
A path, not a one-off. Associates articulate into practitioners, and every practitioner course places your function on a five-level maturity scale, from ad hoc to leading, and shows the next move.
Free EU AI Act readiness assessment. Seven questions. No signup.