| Title | Time | Room | Teacher |
|---|---|---|---|
| AI & Prompt Engineering | 11.04.2025 09:00 - 16:00 (Fri) | TUM Graduate School: Boltzmannstraße 17, 85748 Garching bei München, Room 101 | Felizia Quetscher & Dr. Christoph Eikemeier |
In this workshop, doctoral candidates will acquire knowledge and tools to simplify their daily work with generative AI applications, automate repetitive tasks, and increase their productivity.
The workshop will provide a basic understanding of how generative AI works and its limitations in everyday work. In particular, we will learn prompting techniques to understand and improve interaction with AI models. We will apply various AI tools (e.g., ChatGPT, Perplexity.ai, etc.) to explore their use in daily work and discuss their applications.
- Understand the basics of generative AI
- Learn prompting techniques
- Explore AI tools and applications
Presentations, Hands-on sessions, Interactive discussions.
At the beginning of the doctorate │ during the doctorate │ at the end of the doctorate
None.
Please bring your laptop.
- Try out tools like ChatGPT, Perplexity.ai, or other similar platforms to get a basic understanding of how they work.
- Reflect on your daily work as a doctoral candidate and identify tasks that are repetitive, time-consuming, or could be optimized.
Felizia Quetscher graduated in Mechatronics and has been working as a Software Consultant for TNG since 2022. Besides her daily work in software development and consulting on various projects, she is engaged in several side projects related to LLM and machine learning, such as teaching about LLM topics and successfully organizing the prompt engineering workshop.
Dr. Christoph Eikemeier holds a strong foundation in mathematics and number theory, which he developed during his studies at the University of Leipzig and the Max Planck Institute (MPI) for Mathematics in the Sciences. Upon completing his Ph.D., he transitioned into industry, taking on the role of software consultant with focus software engineering and AI solutions architecture at TNG Technology Consulting GmbH. Through his work with diverse clients, he acquired hands-on experience in generative AI and its versatile applications, allowing him to stay at the forefront of this rapidly evolving field.