Summer School | Digitalization in Manufacturing

Learn how to leverage AI for image processing in quality inspection, exploring the essential tools and techniques. Discover various AI methods, their advantages, and limitations, while gaining hands-on experience training your own algorithm to recognize defects in images. Real-world applications of AI in quality control will also be explored, showcasing how these innovations are transforming the industry.

Dive into the core concepts behind training and deploying language models. Get practical experience with cloud-based tools, understanding how to run language models at scale. Key topics such as natural language processing, model training, and deployment within cloud computing infrastructures will be covered.

Get an introduction into artificial intelligence techniques for optimizing maintenance operations in the industry. You will learn the principles of predictive maintenance, including data collection, feature engineering, and model development. The session covers algorithms of deep learning and explores their application to predict and prevent equipment failures, optimize maintenance schedules, and reduce downtime. Practical examples and case studies provide you with hands-on experience in implementing predictive maintenance solutions using real-world datasets.

Get an overview of automation and robotics with focus in industrial and collaborative robots. Emphasis will be given to the topic robot-human interaction and their different frameworks in the market according to the restrains and levels of interaction. Additionally, automation examples are shown and exercises are included, which allow to comprehend possible industrial applications.

Bring all the AI topics together and work on a provided case study that requires the application of the knowledge and techniques learned throughout the program. By applying the learned knowledge, you will develop a comprehensive AI-powered solution to address a specific challenge.