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)
Artificial intelligence is transforming higher education teaching – but how exactly?
The online workshop series AI in teaching & learning: International perspectives and best practices brings together teaching staff, teaching support staff, and didactic experts from various European universities and disciplines to address this issue.
This instructor-led bootcamp equips you with foundational knowledge and practical experience in computer vision, natural language processing and generative AI. The bootcamp is designed for all employees of the University of Graz to develop practical AI skills with Azure AI technology.
This Arqus event brings together experts from across Europe to discuss practical AI applications in higher education, as well as key challenges related to ethics, governance, and academic integrity. With keynote talks and thematic panels, the program offers a compact overview of current developments and best practices for the responsible use of AI in academia.
In the webinars and "AI spotlights" you will find compact and introductory information on various generative AI systems and their use in university teaching.
The learning path teaches basic skills for the critically reflective and responsible use of artificial intelligence.
External offers
The KI(ck)START webinar series offers insights into the use of AI applications in various industries and application areas.
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.