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One course versus a route per person
The honest case for a generic course: it is cheap, fast to roll out, and everyone sees the same thing. The honest case against it starts the moment two people with the same job title sit at different distances from an AI decision, because from that moment one of them is undertrained and the other is bored.
None of this needs to be taken on faith: the intake is public, so the fastest way to judge the difference is to run it for your own organisation.
Try the intakeA very small team with uniform, low-risk AI use, or a first awareness wave before a proper rollout. A generic course is a fine start; the mistake is filing it as the finish.
Since 27 July 2026, Article 4 asks providers and deployers to take measures that support the development of AI literacy, taking into account context, and explicitly not to guarantee a fixed individual level. Context is the operative word: the measure has to fit the people and the AI use it covers. A route built from your systems and roles is that fit made visible, and the record it leaves behind is how you show it.
See what changed in the lawAI Act evidence routes
Focused pages per question: from mandatory Article 4 literacy and training records to sector evidence and an audit-ready dossier.
A standalone AI course is not Article 4 evidence. See the difference with a role-based program that links training to role, risk, and demonstrable evidence.
View routeAn AI Act evidence dossier shows per role that your people are AI literate. LearnWize is the evidence layer for people, Praxikon explains the duty, Embed AI runs the scan and Readiness Sprint.
View routeIs a free AI course enough for Article 4 of the EU AI Act? An honest look at when free training suffices and when you need role-based, verifiable evidence.
View routeClassroom AI training or e-learning for Article 4? Compare reach, evidence and depth, and see why a hybrid model usually works best for AI literacy.
View route