This three-day course is aimed at administrative and management staff at the Helmholtz Association. Participants will learn about the technology behind language models such as ChatGPT and how to use them safely and efficiently. The course will be held in German.
The incorporation of artificial intelligence (AI) into our daily work routine opens up new possibilities – not only in science, but also in administration and management. Large Language Models (LLMs) such as ChatGPT have the potential to make workflows more efficient, assist with routine tasks and find creative solutions to challenges.
This three-day in-person course is aimed exclusively at employees of the Helmholtz Association who work in administration or management. Participants will learn what is behind the hype surrounding language models like ChatGPT and how to integrate these tools safely and effectively into their daily work. This introductory course thus offers the opportunity to acquire future-relevant skills and to fully exploit the possibilities of modern AI tools.
Participants will primarily use ChatGPT as an example of large language models in the course. However, the skills learned are largely transferable to other tools – for example, Microsoft Copilot, Google Gemini, Claude or the Helmholtz-internal language model service Blablador.
The course language is German.
Course structure & content
The course is designed to be completed in three days, with participants arriving on the first day and leaving on the third day.
Day 1 (2 p.m. - 6 p.m.): Participants receive a low-threshold introduction to the world of artificial intelligence. They learn how large language models work and discuss the risks as well as the legal and ethical framework. The aim is to provide participants with recommendations for action that will enable them to use ChatGPT & Co safely and responsibly.
Day 2 (9 a.m. - 6 p.m.): The focus of the second day is on prompt engineering – the ability to formulate precise instructions so that AI tools deliver optimal results. Through practical exercises using real-life examples from the day-to-day work at the Helmholtz Centers, participants learn how to best use ChatGPT & Co for tasks such as reporting, project planning, analysis, or communication.
Day 3 (9 a.m. - 1 p.m.): Participants deepen their knowledge by learning to create specialized language models (custom GPTs) with ChatGPT. These customized models support you even more efficiently in specific tasks and deliver results tailored precisely to your needs.
Target group
The course is aimed exclusively at employees of the Helmholtz Association who work in administration or management, e.g. in human resources or finance, purchasing & procurement, science management (e.g. advisors, coordinators), finance or communication. The course discusses application examples from different areas of work to reflect the diverse fields of activity of the participants.
Participants do not need any prior knowledge of AI or language models. The course is designed as an introductory course and is therefore aimed at people who have little or no experience in using ChatGPT & CO.
Please click on the course dates to be redirected to the registration pages for the individual course dates.
The trainers
Daniel Walther
Daniel Walther
Short bio:
Daniel Walther is a science manager at the German Cancer Research Center (DKFZ) in the Division of Medical Image Computing, where he specializes in organizing and coordinating projects at the interface of AI and medicine. As co-head of the HIDSS4Health graduate school, he supports the training of young researchers in the fields of data science and life sciences.
In addition to his professional activities, he has completed further training in the areas of data science, analytics and Python in order to deepen his skills in a targeted manner.
Motivation:
In my daily work as a science manager, I have experienced how powerful and versatile language models like ChatGPT are – from creating professional communication to optimizing complex workflows. Especially in administration, they hold enormous potential for increasing efficiency and facilitating routines.
With this course, I would like to share my knowledge and experience to help colleagues in the Helmholtz Association become more proficient in using these tools, thus contributing to an increase in data literacy in our working environment.
Stefan Götze
Stefan Götze
Shortbio:
Dr. Stefan Götze is a research funding officer at the Karlsruhe House of Young Scientists (KHYS) at the Karlsruhe Institute of Technology (KIT).
- 2008 – 2015: Research and teaching, including doctoral studies, at the political science departments of the universities of Oxford, Mannheim, Munich (LMU)
- Since 2015: Advisor at the KIT for the promotion of young researchers, and for a time also for research funding, with responsibilities in the areas of application advice, further training and networking
- Since 2018: Trainer for the topics of (interdisciplinary) collaboration, communication and innovation
- Since 2023: Conducting further training courses on the use of generative AI for researchers and administrative staff
Motivation:
Working with ChatGPT has significantly changed my own work routine: I work more efficiently, with higher quality, and I have gained new freedom for creative projects. I would like to communicate this potential of Generative Artificial Intelligence to colleagues in the Helmholtz Association in a practical way.
Henrik Horst
Henrik Horst
Short bio:
Henrik Horst is an AI software developer at WikiMind GmbH.
- Degree in electrical engineering and medicine from RWTH Aachen and Kiel University
- Research assistant at the University of Lübeck in the field of AI
- Course instructor in machine learning Degree at opencampus.sh
- AI expert at WikiMind GmbH
Motivation:
Just as web search (Google) and word processing (Word, Excel) have become fundamental skills in the workplace, the use of generative AI will soon also become a basic skill. This easily accessible and universally applicable technology is suitable for numerous tasks in almost every field of work, which is what I want to convey in this course. The possibilities are almost endless and will create a whole wave of innovation. That is my motivation and enthusiasm, which I also want to convey in this course.
Venue
HIDA Hub
Anna-Louisa-Karsch-Straße 2
10178 Berlin
Cost
Participation in the course is free of charge for employees of the Helmholtz Association. Travel and accommodation costs must be covered by the participant's own Helmholtz Center.
Questions?
Dr. Anna-Lisa Döring
Training Program Manager
Contact
