AI training and courses

At UU, we use the term AI Literacy to describe training courses and programmes related to AI.

The two objectives for developing AI training materials for our education are:

  1. on the one hand, to comply with the requirements of the EU AI Act concerning AI literacy requirements (Article 4);
  2. on the other hand, to provide our UU student population with sufficiently high-quality opportunities to learn about AI.

The AI Literacy Steering and working group is engaged with the realisation of both objectives.

The definition of AI Literacy according to the EU AI Act is: "Skills, knowledge and understanding that allow providers, deployers, and affected persons, taking into account their respective rights and obligations in the context of this Regulation, to make an informed deployment of AI systems, as well as to gain awareness about the opportunities and risks of AI and possible harm it can cause."

1. E-module

Having knowledge and understanding of AI systems and tools contributes to developing the right skills and using them responsibly. In line with the requirements of the European AI Regulation, anyone who applies AI (such as ChatGPT. Claude, Perplexity or any other AI tool) needs to follow one or both of the modules below:

  • Dutch:  (intranet, login required)
  • English:  (intranet, login required)

2. Micro modules

At the university, we strive to give all students of all educational programmes the opportunity to experience AI. AI will encourage further innovation within our education

The AI Literacy Steering and working group develops AI-themed micro modules tailored for each target group that are also regularly updated. In the future, you can access these UU trainings and E-modules here.

This training material is based on UNESCO frameworks. The ("tiles") concept of this module approach has been established by the Executive Board and is visualized below. Each target group (students, teachers, education supporters, education administrators, etc.) can follow a study path by completing various "tiles." For example, you can think of:

  • AI-1: Prompt engineering,
  • AI-2: AI and algorithms,
  • AI-3: Ethics of AI,
  • AI-4: AI fraud and examination formats,
  • AI-5: AI Act and AI compliance,
  • AI-6: Misinformation and disinformation, etc.

Currently, the Steering Group AI Literacy is further developing this concept.