Fundamentals of Machine Learning and Neural Networks, University of Ljubljiana, Slovenia (3 days Summer School), August 2022

Deep Learning meets (astro)-physics, ETH University, One-day technical workshop for the astrophysics department at the university ETH in Zürich in collaboration with Prof. S. Quanz, January 2020, [GitHub LINK]

Machine Learning & Astrophysics Hack Days,  (4 Master and Phd Seminars), November 2020 – March 2021, [GitHub Link] [Webpage Link]

Computer Vision with Deep Learning, University of Applied Science Lucerne, (Master of Science) (Course), February 2023

Fundamentals of Computer Vision with Nueral Networks, University of Applied Science Lucerne, (Master of Science), (2 lectures), November 2022

Emerging Topics for / Innovative Topics in Information Systems, University of Applied Sciences and Arts Northwestern Switzerland,  (Master of Science), (1 day Workshop), 2021

Emerging Topics for / Innovative Topics in Information Systems, University of Applied Sciences and Arts Northwestern Switzerland,  (Master of Science), (1 day Workshop), 2020

Series of 4 Lectures in the Bachelor of Data Science, 2022, [GitHub Link] [Webpage Link]

Lecture in the CAS BDAI – 1. Module “Creating Value from Data”, University of St. Gallen (Continuing education), June 2022 / June 2021, [Webpage Link]

Applied Deep Learning with autoencoders, University of ETH and Google Student Developer Group, May 2022, [Webpage Link]

Develop your own Generative Adversarial Network – An introduction to GANs with TensorFlow Keras, January 2022, [Webpage Link]

Introduction to TensorFlow, University of ETH and Google Student Developer Group, November 2020 [Webpage Link]

Deep Learning with Tensorflow 1.X, 2018 / 2019, [GitHub Link 2018] [GitHub Link 2019]

Big Data Analysis, Semster Course, 2019

Big Data Analysis, Semester Course, 2018