Further training programmes on the topic of AI
Here you will find the current range of workshops, webinars and other training courses.
Selected offerings at the University of Graz (for more offerings change the language of the site to German)
With our exchange forum, we are creating a place where everyone can learn more about AI, report on their own experiences, familiarise themselves with various tools and discuss possible applications. At the same time, we offer space to gather ideas for your own work, ask (critical) questions and find solutions to AI-related challenges together.
This #SKILLS workshop is aimed at researchers and teachers at the University of Graz who already have experience and knowledge of AI. It provides practice-orientated instruction on how AI tools can be used effectively in research and teaching.
In this workshop, you will learn how text-generative AI tools work and how to efficiently and thoughtfully use them. The focus is on learning basic prompting strategies that enable you to achieve more precise and targeted results for your teaching through specific questions and contextual information.
In the webinars and "AI spotlights" you will find compact and introductory information on various generative AI systems and their use in university teaching.
External offers
The KI(ck)START webinar series offers insights into the use of AI applications in various industries and application areas.
The e-teaching.org special is about how AI is already being used successfully in university teaching, what findings there are about the conditions for success - and which critical questions should be discussed together.
In this free online course, you will learn about the basic functioning of artificial intelligence, examples of its use in everyday life and its potential impact on society.
The AI Campus is the learning platform for artificial intelligence with free online courses, videos and podcasts to strengthen AI and data skills.
The course demonstrates the practical use of AI in teaching and offers concrete recommendations for action. Five lessons cover the basics, bias, data protection and applications in courses and examinations.