Künstliche Intelligenz in der Produktionstechnik

AI in Production Engineering

Language: Englisch
Location: München
Duration: 3 days in 1 week
Start: March 2024
Cost: 1.080 €
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The program teaches you modern methods of artificial intelligence and machine learning (ML) applied to problems in industrial production.

Databases and data cleansing: You will learn about different data sources and how to deal with missing, redundant and noisy data.

Data transformation: Learn how to use different feature extraction and selection techniques to transform raw data into a meaningful data set.

Data Mining and Modeling: Make predictions by applying ML to regression and classification tasks.
Evaluation and interpretation: Learn how to interpret the results of ML models using real-world examples from production engineering.

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Quick Info

Here you will find all the information you need for this course.

Benefits

  • Cutting-Edge Expertise

    Due to our pprogram partner Institute for Machine Tools and Industrial Management, you benefit from the lecturers’ cutting-edge specialist knowledge and gain unique insights into Industry 4.0.

  • High Practical Relevance

    You can immediately apply the new methods and tools you have learned to real data sets from production and production technology.

  • Tailor-Made Preparation

    As individual preparation for the certificate course, we offer you a 90-minute online tutorial for self-study to refresh your programming skills.

Program Overview

You can find all the important information about the certificate program here. Below you can find out the objectives of the program, the exact details of the process, what you will learn and which lecturers will teach you the content.

Aims of the certificate course

Here you will find information on the aims of this course and its content.

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.

Details

Here you will find information on dates, requirements and other general conditions for the certificate program.
Program:Artificial Intelligence in Production Engineering
Graduation:After successful completion of the final exam, participants will receive a certificate from the Technical University of Munich.
Academic responsibility:Prof. Dr.-Ing. Michael F. Zäh, Chair of Machine Tools and Manufacturing Technology, TUM School of Engineering and Design
Target audience: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!
Participation fees:In 2024: 1,080 Euro* (Regular price 2,365 Euro)
Language:English
Discounts:10% discount for TUM Alumni and members or employees of our strategic cooperation partners (see below)
Dates:6-8 March 2024, from 9:00-17:00
Study location:On Campus (Garching)
Format & Timing:½ Week (3 days)
Application deadline:31 January 2024
Admission 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.

* 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.

Lecturers

Get to know our experienced lecturers who will teach you the certificate content and with whom you will work.
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

Structure

Find out here how the course is structured and what the individual modules of the certificate program contain.

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.

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Testimonials

Prof. Dr.-Ing. Michael F. Zäh
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.

Partners

iwb e.V.
EuroTeQ

Supported by

Silvia Hagn

Your contact

Silvia Hagn
Team Lead Certificate & Customized Programs

Phone: +49 (89) 289 – 26755
E-Mail: AI.production.engineering@lll.tum.de

Get in touch

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