Learning Python: Machine Learning and AI

Course overview

The efficient handling of data is a central foundation for Machine Learning and Artificial Intelligence. In this course, participants will learn to use SQL effectively to retrieve, process, and prepare large amounts of data from relational databases for analysis. Practical exercises will teach the combination of SQL and Python for data-related tasks. Another focus is on object-oriented programming. Participants will learn how to use classes and objects to develop reusable and scalable code structures for Machine Learning models. Additionally, the course covers key concepts of Machine Learning. Participants will learn how to train algorithms, optimize models, and make predictions. Through practical applications with Python, data-driven analyses and modeling processes will be tested. This course combines solid theory with practical exercises. Skills Acquired Basic skills in data processing Object-oriented modeling Practical application of Machine Learning with Python

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning