I offer workshops and training eventy for companies and individuals where I share my knowledge and experience in various fields.
I create no-bullshit courses on the technologies that matter. Together we focus on the essentials of emerging tools without getting distracted by buzzwords or marketing noise. My workshops are aimed at practitioners who are open to working with code and people who believe that a better understanding of patterns and principles will improve the quality of their work. I usually do on-site one-day workshops in classroom settings. I emphasize on interactivity and group exchange instead of traditional frontal teaching. In my courses, attendees combine basic theory with practical applications in hands-on ercercises. Open-minded discussions allow for gaining confidence to apply what you have learned in your daily work. I always try to make all learning materials publicly available on github and to share any slides, notes, etc. as widely as possible.
My background in teaching is 10 years in university didactics / higher education paedagogy at Goethe University, Frankfurt at stations such as the Interdisciplinary Center for university teaching and learning, Studiumdigitale and my own institution for medialisation and outreach of natural sciences, called PhysikOnline.
In the following, you will find a few of my current, pre-written workshops. If you need an individual training package to suit your needs or want me to conduct a workshop at your company or event, please get in touch.
Whether you come from a traditional IT administration background or were born in the cloud: The many facets of modern tooling can become challenging the moment the environment evolves. In this course, we will explore the core principles behind transformative technologies such as Kubernetes clusters and reveal their full elegance and power.
Data science is challenging because it combines mastering data, extracting insights through statistical methods, and presenting results in a way that is convincing yet not misleading. All of this requires confident handling of modern tooling. AI techniques such as machine learning are just one part of a much larger toolbox.
In many institutions, eLearning is still treated as little more than a way to distribute PDFs. Yet the tools are designed to transform how traditional learning environments operate. We will explore how ILIAS can support didactic approaches such as the flipped classroom, collaborative knowledge building, or self-regulated learning.