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Eine Person meldet sich während ein Mann im Hintergrund etwas an einem Whiteboard zeigt. UR/ Julia Dragan

The University of Regensburg provides access to AI systems based on general-purpose AI models, which can therefore be used as highly powerful models for a wide range of tasks.

Below you will find the most important links to the current training courses on this topic.

 

 

Basic AI skills

For anyone who wants to familiarise themselves with the basic principles of AI.

ScopeCourse contentPrerequisites

Artificial Intelligence (AI) (external link, opens in a new window)

85 mins
  • Fundamentals of Artificial Intelligence
  • Overview of the AI Regulation
  • Framework conditions for the practical use of AI
  • Practical exercise in prompting (using generative AI, in particular BayernKI)
  • Current AI trends: An overview of AI technologies and fields of application, both in general and specifically within public administration
None

Introduction to AI (external link, opens in a new window)

8 weeks, 5 hours per week
  • What is AI?
  • Why is it important to engage with this topic?
  • What new opportunities does machine learning offer?
  • How does this potential come about?
  • What is generative AI – and how can you use it?
  • What risks does AI pose?
  • How can we manage these risks?
  • What impact will AI have on our future?
  • How can we prepare?
None

AI for all (external link, opens in a new window)

14 weeks, 3 hours per week
  • Fundamentals of artificial intelligence, with a particular focus on machine learning
  • Data preparation, analysis and visualisation
  • Basic introduction to programming with Python
  • Ethical and legal implications of artificial intelligence
None

AI Essentials: An Introduction to AI (external link, opens in a new window)

4 hours
  • Be able to explain what AI and machine learning are, including how they differ from neural networks and deep learning.
  • Recognise the potential of AI in real-world applications, along with its benefits, risks, limitations and regulatory issues.
  • Identify the different types of machine learning and explain, at a high level, how a machine learns
None
 genAI Licence (external link, opens in a new window) 
1h
  • The basic functions, how generative AI works and its potential
  • Risks, challenges and regulations
  • Sustainability
  • Introduction to various tools for the academic sector
None

AI specialisation – public administration

AI applications specifically for the public sector.

ProviderCourse contentPrerequisites

KIÖV – AI in public administration (external link, opens in a new window)

AI Campus (external link, opens in a new window)
  • Fundamentals of Artificial Intelligence
  • Overview of the AI Regulation
  • Framework conditions for the practical use of AI
  • Practical exercise in prompting (using generative AI, in particular BayernKI)
  • Current AI trends: An overview of AI technologies and fields of application, both in general and specifically within public administration
Basic understanding of the tasks of public administrations

AI specialisation – applications in research

Approaches and tips for the effective use of AI in research.

ProviderCourse contentPrerequisites

Living guidelines on the responsible use of generative AI in research (external link, opens in a new window)

European CommissionThe Commission, Member States and stakeholders in the European Research Area have developed guidelines on the responsible use of generative AI in research. They offer practical recommendations for three target groups: researchers, research institutions and funding organisations.English

 

AI specialisation – application in teaching

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