Responsible AI Platform
Structural learning

AI literacy programme for durable AI adoption

A programme fits when AI literacy should not be a one-off course, but a lasting approach for onboarding, refresh cycles, role development and evidence.

More than one-off training

AI changes quickly. A programme makes AI literacy part of onboarding, role development and periodic refresh cycles.

  • Baseline module for all staff.
  • Role depth for teams with higher risk.
  • Refresh cycles for new AI tools, policy and regulation.

Learning paths per role and risk level

The programme can be built around different audiences, so staff learn what to recognise, do and record in their own context.

  • Users: responsible application and checking.
  • Managers: decisions, guardrails and reporting.
  • Compliance, privacy and IT: risk, policy and evidence.

Learning evidence for Article 4

A structural programme makes it easier to show who reached which level and where knowledge gaps remain.

  • Certificates and assessment results.
  • Training records per role and team.
  • Dashboard for progress and management reporting.
LearnWize

LearnWize as programme layer

LearnWize fits when AI literacy should run as an ongoing programme with assessment, learning paths, certificates, records and reporting.

For teams and organizations

LearnWize as programme layer

LearnWize fits when AI literacy should run as an ongoing programme with assessment, learning paths, certificates, records and reporting.

FAQ

Frequently asked questions

What is the difference between a course, training and programme?

A course or training is often a single intervention. A programme is broader and more structural: onboarding, role modules, assessment, refresh cycles and evidence.

Is a programme mandatory?

Not as a specific format. Article 4 asks for a suitable level of AI literacy; a programme is one way to organise that structurally.

How often should training be refreshed?

There is no fixed legal frequency. Refreshing is logical for new AI tools, changed roles, policy, incidents or new risks.