Crash Course in (Generative) Artificial Intelligence
The "Crash Course in (Generative) Artificial Intelligence" helps learners build fundamental AI skills, and has been designed for all members of the university.
Learn moreArtificial intelligence in education
Generative artificial intelligence (AI) and the proper way to use it are hot topics in society, and a subject of debate in higher education and education discourse. Gen AI is already an integral part of everyday working life and education and is becoming more significant every day.
Despite all the controversy, it is clear that generative AI is here to stay. The aim should be a productive and meaningful integration of generative AI into the everyday learning and working lives of students and teachers. In the context of teaching and learning, the use of generative AI offers a wide range of possibilities that can help relieve the burden on teachers and students, increase accessibility, or help develop new and innovative didactic approaches and formats.
The confident use of AI also requires new skills, for example, the ability to correctly understand and interpret AI output, to work productively with this output and to deal with risks confidently.
On this portal page, you will find information, background context and inspiration on generative artificial intelligence and its possible applications in the context of education, learning and teaching. You will also find references and links to materials to help you further explore individual aspects and topics.
We encourage you to engage constructively with the tools, to try them out, and to experiment and test new approaches to learning and teaching.
Due to the rapidly evolving technical landscape of AI, this portal page only attempts to reflect the most current state of affairs.
KI in der Hochschulbildung
UzK Kompetenztage
Vom 2. bis 4. Februar 2026 fanden die UzK Kompetenztage „KI in der Hochschulbildung“ statt.
(Technical) explanations about how artificial intelligence works
What is generative artificial intelligence (AI)?
AI systems such as ChatGPT are based on generative models, often known as large language models (LLMs), which can generate new content based on the data with which they have been trained. This explains how text-generative AI can be used in a targeted manner.
Framework conditions and ideas on how to further develop learning and teaching approaches
How can I use generative AI productively in the context of teaching and learning?
In the context of teaching and learning, the use of generative AI opens up a whole array of new possibilities, but (legal) framework conditions must also be considered, especially in examination situations.
Confronting the risks and challenges of generative AI with confidence
How can I approach generative AI with confidence?
Generative AI can produce deceptive misinformation that seems incredibly ‘real’, reproduce biases, raise questions about authorship, and require its users to critically reflect on its products, among other things.
Secure and (legally) compliant access to generative AI systems and models
Access to generative AI systems and models
Information and explanations on various commercial and public generative AI systems and models and their possible applications in the context of teaching and learning
Learning how to use generative AI in learning and teaching
Training and further education programmes
Training and further education programmes offered by the UoC and selected external providers
Picture credits
Source header graphic: Adobe Stock | #330513440