AI in Production Engineering

English
Munich
On Campus
March 2024
3 days in 1 week
1.080 €, Discounts available

Why this program?

The certificate program “Artificial Intelligence in Production Engineering” addresses a central challenge of production engineering in the age of digitalization and globalization.

In the age of digitalization and globalization, knowing how to interpret large amounts of data has become indispensable in industrial manufacturing and production. Decision makers in all manufacturing industries are increasingly required to know how to read and use big data in production engineering to drive strategic decisions that increase innovation in daily workflows and competitiveness of the company in general.

The right balance:

Our certificate program provides participants with the right balance between theoretical input and a practical applied approach on how to use methods of artificial intelligence and machine learning to enhance daily business and production efficiency.

High practical relevance:

Our expert lecturers emphasize the high practical relevance of the topic with the aim that participants can immediately apply the acquired methods and toolbox to create their own real-world manufacturing data sets.

Cutting-edge expertise:

The certificate program was developed in close collaboration with the Institute for Machine Tools and Industrial Management (iwb) at TUM, one of the largest research institutions for production technology in Germany.

Unique insights:

Our experts from the iwb not only teach in the program but also provide participants with unique insights into what Industry 4.0 can look like. An on-site visit including live demonstrations at the state-of-the-art iwb laboratory at the TUM campus in Garching is also part of the program.

A small group – direct support:

The group will consist of a maximum of 15 participants with two lecturers being present at all times. Therefore, participants will be in close exchange with each other and our experts.

Tailored preparation:

For individual preparation for the certificate course, we offer a voluntary 90-minute online tutorial for self-study to refresh one’s own programming skills.

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Details

Certificate: After successful completion of the final exam, participants will receive a certificate from the Technical University of Munich.
Duration (in weeks): ½ Week (3 days)
Modules: 6-8 March 2024, from 9:00-17:00
Access requirements: Participants should have an academic background in STEM subjects or a business degree with a quantitative focus (e.g., econometrics, operations research) and 2-5 years of professional experience. Basic programming experience (Matlab or Python) is recommended. We offer a 90-minute self-paced online tutorial to refresh your programming skills.
Format: On Campus (Garching)

Language: English
Academic Responsibility: Prof. Dr.-Ing. Michael F. Zäh
Chair of Machine Tools and Manufacturing Technology
TUM School of Engineering and Design
Target group: The program is targeted at decision makers working in the manufacturing industry. Are you a production or performance manager? Are you an industrial or mechanical engineer? Do you want to better understand how to use data to tackle problems in production engineering? Then this program is the right one for you!
Program Fee: In 2024: 1.080€* (Regular price 2.365€)
Discounts: 10% discount for TUM Alumni and members or employees of our strategic cooperation partners (see below)

*Based on our experience, the German tax benefits help many of our participants to self-finance their education as these can be worth of up to 50% of tuition fees and program related travel costs. Please, consult your personal tax advisor for more details. For participants of our programs residing outside Germany this might be applicable, please check the situation with the local tax authorities in your country of residence.

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Content

The program is structured along four topics. In all steps, participants will not only learn the theoretical aspects of the topics, but also their practical implementation using the programming language Python.

Module 1: Databases and data cleansing

Introduction
Data sources and data bases
Data cleansing

Module 2: Data transformation

Introduction to the programming tools, jupyter notebooks and Python
Feature extraction and selection techniques

Module 3: Data mining and modelling

Linear regression
Overfitting and regularization
Logistic regression
Neural networks

The data mining and modelling step is the focus of the program. The central foundations of machine learning will be taught and applied to real-world manufacturing data sets.

Module 4: Evaluation and interpretation

Group work
Interpreting outcomes of machine learning models based on real-world production engineering data sets

On the last day of the program, participants get the chance to visit the state-of-the-art laboratory of the iwb at the TUM campus in Garching and see a number of live demonstrations.

OUR LECTURERS

Thomas Mair, Institute for Machine Tools and Industrial Management, TUM School of Engineering and Design
Julian Stang, Institute for Machine Tools and Industrial Management, TUM School of Engineering and Design

TESTIMONIALS

Prof. Dr.-Ing. Michael F. Zäh,
Chair of Machine Tools and Manufacturing Technology, TUM School of Engineering and Design

Digitization is making its way into industrial companies, which opens up great potential for production. In order to be able to harness this potential, both young professionals and experienced engineers need sound knowledge of data-driven methods. This training is an ideal introduction to the world of artificial intelligence. Its focus on use cases ensures that participants can immediately apply what they have learned to relevant data sets and to their companies.