Artificial Intelligence and Machine Learning

Course overview

The training course "Artificial Intelligence and Machine Learning" combines artificial intelligence, machine learning, application cases, and benefit assessment. The focus is on data and quality assurance as well as the practical application of the relevant technical terms and work steps. Artificial Intelligence • Basic concepts and subfields of artificial intelligence illustrated with practical examples • Methods such as machine learning, neural networks, and language models with accompanying exercises • Application areas of AI in companies including documentation of results • Opportunities, limitations, and risks of AI applications in sequential work steps Machine Learning • Fundamentals of machine learning: supervised and unsupervised learning • Training, testing, and evaluation of models • Feature preparation and avoidance of overfitting • Use of machine learning libraries and tools Application Cases and Benefit Assessment • Selection of suitable application cases and areas of use • Assessment of effort, benefits, and prerequisites • Pilot projects and gradual implementation • Measurement and evaluation of results Data and Quality Assurance • Data requirements and data sources for AI applications • Examination of data quality and potential biases • Control and evaluation of AI results • Documentation of assumptions and limitations The training course connects artificial intelligence and machine learning and imparts knowledge in application cases and benefit assessment as well as data and quality assurance. The technical relationships are addressed in the context of artificial intelligence and machine learning.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Aachen · Blended Learning
• 2026-11-08T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Berlin · Blended Learning
• 2026-11-08T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Hannover · Blended Learning
• 2026-11-08T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Duisburg · Blended Learning
• 2026-11-08T23:00:00.000Z · 2026-12-17T23:00:00.000Z · München · Blended Learning

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