Application of AI in production

In this course, you will learn about various practical applications of artificial intelligence in industrial production. The focus is on hands-on exercises for concrete use cases with Jupyter notebooks. Each exercise is complemented by an introductory section, which provides subject knowledge on the use cases covered as well as relevant concepts and approaches.

• Overview of applications of AI in industrial production
• Quality inspection, predictive maintenance, cognitive robotics and safety-critical applications
• Hands-on exercises on specific use cases with Jupyter Notebooks

After completing the course, I will be able to...

• Identify AI use cases in industrial environments.
• Describe the machine learning pipeline.
• Select suitable ML algorithms for use cases.
• Implement the solution concretely in Python.

• Basic knowledge of mathematics and engineering
• Basic programming skills, preferably in Python
• Basic knowledge of machine learning and deep learning is an advantage