Data literacy – Interpreting data through data mining
TH Köln
at any time
Record of Achievement
16 hours
Machine Learning
Machine Learning is a central subfield of artificial intelligence. Many digital applications in our daily lives use machine learning: spam filters sort out unwanted emails, streaming services recommend suitable content, and voice assistants respond to spoken requests. In all these cases, the systems use large amounts of data to recognise patterns and derive decisions from them.
Discover now on the AI Campus how different algorithms and learning methods work, what they are suitable for, and how you can use them in a targeted way.
Selected courses
ML explained – Maschinelles Lernen, einfach erklärt
Deutsch
KI-Campus-Original
Machine Learning
Building AI
University of Helsinki
Approximately 50 hours
Confirmation of Participation
English
External
AI Literacy
Machine Learning
Quantum Machine Learning with Qiskit
IBM Quantum
10 hours
English
External
Machine Learning
Experts
Ludwig-Maximilians-Universität München - Institut für Statistik
Munich Center for Machine Learning
Visit Prof. Dr. Bernd Bischl homepage (opens in a new tab)
Universität Stuttgart
Fraunhofer IPA
Visit Prof. Dr. Marco Huber homepage (opens in a new tab)
AutoML - Automated Machine Learning
Universität Hannover
Universität Freiburg
anytime
Confirmation of Participation
112 hours
Robot Learning
TU Darmstadt
anytime
Confirmation of Participation
180 hours
Holistic applied AI in engineering – launch of the micro-degree
TU Dresden
To the degree
Micro Degree
approx. 82 hours
AMALEA – Applied Machine Learning Algorithms
KIT
at any time
Record of Achievement
48 hours
Machine Learning at School
Science on Stage
at any time
12 hours
Data Literacy
Introduction to Machine Learning - Start of the Micro Degree
Munich Center for Machine Learning
To Micro Degree
Micro Degree
about 120 hours
Introduction to Machine Learning
Omar Eladawy
appliedAI
Omar Eladawy is an AI Trainer at appliedAI Initiative GmbH. His prior positions include AI Engineer at VoiceLine GmbH and Visiting Student Researcher at the Designing Education Lab at Stanford University. With this unique blend, Omar’s experiences bridges Tech, Education and Product. He has been trained in Electrical Engineering and Information Technology.