AI in Production Engineering

In the age of digitalization and globalization, big data has become indispensable in industrial manufacturing and production. Decision-makers in all manufacturing industries increasingly need to know how to read and use big data in production technology in order to make strategic decisions that increase innovation in daily work processes and the competitiveness of the company in general.
With our certificate program “Artificial Intelligence in Production Engineering”, we would like to provide you with the professional prerequisites to optimally master the challenges mentioned.

The program is divided into four subject areas. In each step, you will not only learn the theoretical aspects of the topics, but also their practical implementation using the Python programming language.

Module 1: Databases and data cleansing

• Introduction

• Data sources and databases

• Data cleansing

Module 2: Data transformation

• Introduction to programming tools, Jupyter Notebooks and Python

• Feature extraction and selection techniques

Module 3: Data Mining and modeling

• Linear regression

• Overfitting and regularization

• Logistic regression

• Neural networks

Data mining and modeling form the focus of the program. The central principles of machine learning are taught and applied to real data sets from production technology.

Module 4: Evaluation and interpretation

• Group work

• Interpretation of the results of machine learning models based on real data sets from production technology

On the last day of the program, participants will have the opportunity to visit the iwb’s state-of-the-art laboratory on the TUM campus in Garching and see some live demonstrations.