AI and Data Engineering

Course overview

Goals of the Training The focus of the AI and Data Engineering training is on imparting knowledge in the fields of Artificial Intelligence and data processing. The content includes both the fundamentals of Artificial Intelligence and its societal impacts. Additionally, methods of Data Engineering and Data Science are covered. This training provides a comprehensive introduction to the technologies and techniques required for processing and analyzing large amounts of data. By combining theoretical knowledge with practical applications, a deep understanding of the development and implementation of AI-supported solutions is conveyed. Content of the Training Artificial Intelligence History of AI Applications of AI Expert systems Neurosciences Modern AI systems Seminar: Artificial Intelligence and Society In this seminar, participants will reflect on the current societal and political implications of artificial intelligence. For this purpose, relevant topics will be presented in the form of articles, which participants will critically evaluate in a written essay. Data Engineering Fundamentals of data technology Paradigms for data processing at a 1:1 scale Overview of data governance, security, and data protection Common cloud platforms DataOps approach Data Science Introduction to Data Science Use cases and performance evaluation Data preprocessing Data processing Selected mathematical techniques Selected techniques of artificial intelligence

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2027-01-27T23:00:00.000Z · Karlsruhe, Baden · Blended Learning
• 2026-09-27T22:00:00.000Z · 2027-01-27T23:00:00.000Z · Mannheim · Blended Learning
• 2026-09-27T22:00:00.000Z · 2027-01-27T23:00:00.000Z · München · Blended Learning
• 2026-09-27T22:00:00.000Z · 2027-01-27T23:00:00.000Z · Köln · Blended Learning
• 2026-09-27T22:00:00.000Z · 2027-01-27T23:00:00.000Z · Hannover · Blended Learning