Karlsruhe Research Factory
for AI-integrated Production
Karlsruhe Research Factory
for AI-integrated Production

Video training in AI-supported process optimization

A crash course for professionals and managers

What is AI? How does it enter production? Learn the basics of Machine Learning and Artificial Intelligence in production – technically sound and based on concrete use cases and demonstrators. The course is free and consists of interactive materials that can be worked through independently.

After the course, you will have an overview of the opportunities and possibilities, have a feeling for the effort involved in corresponding projects, and know the basic tools for tackling ML problems yourself, which will make it easier to collaborate with ML experts in particular.

Flyer Download (in German only)

The modules of the training at a glance

Module 1 / Target group: Decision-makers + specialists

AI in production – the big picture

Our lecture videos provide a compact overview of opportunities and possibilities of AI, use cases and basic definitions of terms.

  • Method: Training videos
  • Speakers from Fraunhofer IOSB, Fraunhofer ICT and wbk Institute of Production Science at Karlsruhe Institute of Technology (KIT)
  • Duration: 1-2 hours

Module 2 / Target group: Decision-makers + specialists

From data to model – the basics

Through additional lectures, you will gain a basic understanding of AI and Machine Learning (ML), learn about different ML techniques, and assess the complexity and effort of using ML in production.

  • Method: Training videos
  • Speakers from Fraunhofer IOSB, Fraunhofer ICT and wbk Institute of Production Science at Karlsruhe Institute of Technology (KIT)
  • Duration: 1-2 hours

Module 3 / Target group: Specialists

ML in production
practice – deep dive

This is where you get active yourself: The module presents realistic application scenarios and specially developed demonstrators that provide visual material and data for programming exercises that you can participate in using our prepared, interactive materials, even without prior knowledge.

  • Method: Training videos and Jupyter notebooks.
  • Duration: 4-6 hours

Demonstrators and application scenarios

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Material sorting during the disassembly of products

What the hardware does

A suction cup lifts platelets made of different materials. The pressure curve is measured.

Task

The pressure curves are to be used to create a material model that enables the suction cup to recognize the material and sort it accordingly.

Theme

Regression analysis

Condition monitoring of production processes

 
 

What the hardware does

A stepper motor turns the disc, a vibration sensor and a microphone monitor the status.

Task

A disturbed condition (e.g. due to manual braking) should be detected as quickly as possible in order to prevent damage by taking suitable countermeasures.

Theme

Anomaly detection

Registration for the video training (training material available in German only!)

Please fill out the form to get access to the training materials for free.

* Required

About the providers

The video training is an offer of the application lab AI-supported process optimization. This is part of a network of regional AI labs that is funded by the Ministry of Economic Affairs, Labor and Housing Baden-Württemberg as part of the “Action Program AI for SMEs” (“Aktionsprogramms KI für den Mittelstand”).

The application lab AI-supported process optimization is located in the context of the Karlsruhe Research Factory® for AI-integrated production, a joint facility of the Fraunhofer Institutes of Optronics, System Technologies and Image Exploitation IOSB and of Chemical Technology ICT with the Institute of Production Science (wbk) of the Karlsruhe Institute of Technology (KIT).