Machine Learning with Python – AI and Deep Learning explained in 5 sessions

AI and machine learning have become an integral part of today’s IT world. Their potential is enormous, but unrealistic expectations are often placed on them. Anyone who would like to examine and implement the use of machine learning for their own projects will receive an overview of both the basics and the limits of artificial intelligence in our Introduction to Machine Learning with Python classroom.

Your own programming exercises in Python are supported in a variety of ways with theory, demonstrations and hands-on experiments. Our expert supports all five dates with clear introductions to terms, application examples, exciting episodes and impressive demonstrations, even outside the Python context.

Expert knowledge for the professional use of artificial intelligence

The classroom is aimed at all people from the software sector with initial programming experience (preferably in Python) who want to take their first steps in the field of machine learning and get an overview. After completing all sessions, you will understand different types of machine learning algorithms, know how to use AI solutions realistically and have mastered data preparation, classic statistical methods and artificial neural networks in Python. The dates are:

• August 26, 2025: Python basics and data preparation with NumPy and pandas
• September 2, 2025: Data preparation and visualization with pandas and Matplotlib
• September 16, 2025: Basics and supervised learning with scikit-learn
• September 23, 2025: Decision trees, unsupervised and reinforcement learning in machine learning
• September 30, 2025: Deep Learning – Artificial Neural Networks with Keras and TensorFlow

Practical and expert knowledge – live and for later

The sessions last four hours each and take place from 9 a.m. to 1 p.m. All participants can not only look forward to a lot of practice and interaction, but also have the opportunity to repeat and deepen what they have learned with all the recordings and materials afterwards.

Questions are answered directly in the live chat and participants can also exchange ideas with each other on the topic. Subsequent access to the videos and exercise materials is included. Those interested can find further information and tickets on the classroom website.

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