AI in Production Engineering

Language:	English
Location:	Garching near Munich
Duration:	3 days in 1 week
Start:	On request
Cost:	On request

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.

This course is only offered for companies with at least 15 participants.

Quick Info

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

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Benefits

01

1

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.

02

2

High Practical Relevance

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

03

3

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.

Learning Objective
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 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:

TBA

Language:

English

Discounts:

10% discount for TUM Alumni and members or employees of our strategic cooperation partners (see below)

Dates:

TBA

Study location:

On Campus (Garching)

Format & Timing:

½ Week (3 days)

Application deadline:

TBA

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.

Minimum number of participants:

This course is only offered for companies with at least 15 participants.

* 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.

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

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

Application: Introduction to use cases in industry
AI Use Cases Workshop featuring industry cases from the Ipai/ appliedAI ecosystem Part I Use Cases in Context
AI Use Cases Workshop featuring industry cases from the Ipai/appliedAI ecosystem Part II Communication
Presentation industry cases workshop results

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.

Testimonials

Partners

Your contact

Joana Westphal

Head of Stakeholder Relations & B2B Programs

Phone: +49 89 289 26741

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