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Article 4 of the EU AI Act makes AI literacy a statutory duty for every provider and deployer, calibrated to the systems a person touches. We meet it with rigour, not a slideshow. A role-based curriculum of university-grade courses, where completion issues a defensible, exportable regulatory attestation.
Article 4 has applied since February 2025. It requires the people who work with AI to understand it well enough to do so safely, and it reaches everyone: the board that carries oversight, the executive who is personally accountable, the operator running a high-risk system, and the compliance, validation, audit, and HR practitioners who own the work. Generic awareness training does not discharge it.
The programme is built as real coursework, lectures, scenario-based assessment, defined pass marks, and it produces attestation: an exportable credential that becomes part of the evidence an organisation holds to show the duty is met at the level of the individual. Courses assume no technical background; the practitioner tiers extend an existing discipline rather than teaching it from scratch.
Every learner passes through the universal floor, then takes the depth their role owns. A short prerequisite bridge closes any missing grounding first.
AI fundamentals for the whole workforce, in language that assumes no technical background: what an AI system is, why its outputs are probabilistic, and how to think alongside it.
AI oversight for the board and personal accountability for executives, pitched at governance depth. The accountability is real and often personal, and the framework is built to support the holder, not expose them.
The shared foundation every operator completes before the system-specific module for the system they will run, so they meet Article 26(2) duties with the reasoning behind them, not just the steps.
Governance depth for line managers and functional specialists, and associate tiers that support a practitioner in compliance, validation, and HR.
Full practitioner depth for the functions that own AI governance, with sector overlays such as the SS1/23 financial-services variant for model validation.
An eight-course professional programme in TRACE, the tiered methodology for multi-regulatory AI governance, from foundations through leadership, platform, and an auditor variant.
Five prerequisite bridges (090) sit in front of the oversight and practitioner courses, taken only by learners who lack the adjacent grounding the destination assumes.
Eighty short blueprints, four per sector, that ground the general method in a specific setting.
Capability is joined to the rest of the platform. Where the Intelligence Centre finds a role-based gap, the right course surfaces against the open obligation; certification status appears against work in Standard Practices; and completion flows back into the system record as evidence the Article 4 duty is met at the level of the individual.