Artificial Intelligence and Machine Learning

Course overview

This training provides a solid foundation in Artificial Intelligence (AI) and Machine Learning (ML). Participants will gain a fundamental understanding of AI, how it works, and its applications in industry, business, and IT. In addition to the theoretical foundations of AI, practical applications of Machine Learning will be taught. The focus is on algorithms, data processing, and AI models that enable machines to learn from data and make independent decisions. Additionally, programming basics with Python and methods for developing and optimizing AI models will be covered. Course Content Introduction to Artificial Intelligence and its application areas Basics of Machine Learning as a subfield of Artificial Intelligence Supervised and unsupervised learning Fundamentals of neural networks in Artificial Intelligence Data preprocessing and data analysis Introduction to Python for Machine Learning and Artificial Intelligence Development and application of Machine Learning models Introduction to algorithms and modeling techniques of Artificial Intelligence Evaluation and optimization of AI and Machine Learning models Practical projects in Artificial Intelligence and Machine Learning The training conveys the essential foundations of Artificial Intelligence and Machine Learning for practical use in IT and data-driven application areas. Participants will learn to prepare data, develop AI models, apply Machine Learning methods, and evaluate results. This lays the groundwork for working with Artificial Intelligence, data-driven decision-making processes, and modern AI applications in companies.

Upcoming dates

• 2026-10-04T22:00:00.000Z · 2026-10-31T23:00:00.000Z · Freiburg im Breisgau · Hybrid Learning
• 2026-10-04T22:00:00.000Z · 2026-10-31T23:00:00.000Z · Essen, Ruhr · Hybrid Learning
• 2026-10-04T22:00:00.000Z · 2026-10-31T23:00:00.000Z · Erfurt · Hybrid Learning
• 2026-10-04T22:00:00.000Z · 2026-10-31T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-10-04T22:00:00.000Z · 2026-10-31T23:00:00.000Z · Berlin · Hybrid Learning