Lecturer AI in Production WS 23/24

The course “Artificial Intelligence in Production” is an innovative collaboration between myself and my colleagues at KIT. This new addition to our curriculum aims to address the backbone of AI applications: the use, maintenance and effective utilisation of data.

As the main person responsible for the content, I have designed my own lectures and reviewed those of my colleagues. Unlike many available courses that provide an overarching view of AI, our focus is on the central challenge around data. The main challenge in this case is that there is generally not enough of it in production environments. These challenges are addressed using organisational methods, but also approaches such as transfer learning and synthetic data generation using digital twin models. Using these methods, students should be able to tackle advanced AI topics in manufacturing such as predictive maintenance, visual inspection, demand forecasting, and data-driven process modelling and optimisation.