The basics of mechanical engineering with the SkillsMagazine

The course content covers the practical manufacture of the "Stacking Magazine" module using various machines, tools and processes.

The focus is on drilling and forming using semi-finished products provided in the learning kit. In addition, the basics of milling and turning are taught, with practice pieces being produced during the turning sessions.

Another key focus is additive manufacturing: components are designed with CAD and then produced using additive manufacturing.

These parts are then assembled with other components to form a fully functional module. The course concludes with the mechanical and electrical assembly of all manufactured parts and standard components, as well as the full commissioning of the stacking magazine. This ensures that students receive comprehensive vocational training in production methods and in the assembly and commissioning of mechatronic systems.

The fundamentals of automation technology with the SkillsConveyor

The SkillsConveyor provides you with practical training in the fundamentals of commissioning technical systems. You assemble and wire mechanical and electrical components, test signals and troubleshoot malfunctions.

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You will learn how relay controllers work, build and test control circuits using contactors, relays, keys, and limit switches, and practise troubleshooting.

You will deepen your knowledge of AC motors by wiring and operating motor controls using protective and switching devices.

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You will also program simple control tasks using Siemens LOGO!, gain an understanding of Boolean logic, and demonstrate your skills in both theory and practice.

Finally, you will learn PLC programming, create programs for a conveyor belt, and integrate sensors to check your knowledge.

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Machine learning in automation technology with the SkillsConveyor

Together with the SkillsConveyor and the IIoT Machine Learning Kit, you will learn the basics of machine learning and apply them in a practical context.

Using an educational production system, you will learn the basics of AI and ML in image processing, as well as how to use convolutional neural networks (deep learning).

You will use supervised learning methods and learn image classification for computer vision applications.

Finally, you will learn how systems in the IoT can be retrofitted and modernised.