Artificial Intelligence for Industrial Applications

VŠB - Technical University of Ostrava

Dates of the course

Overview:

VŠB - Technical University of Ostrava

Faculty of Electrical Engineering and Computer Science

Field of study:
Electronics and automation
Number of credits:
3
Course length:
40 hours
Assessment type:
Oral examination, Project work, Practical assessment
Teaching language:
Czech

Course description:

The course responds to the growing demand for specialists capable of effectively implementing Artificial Intelligence (AI) and Deep Learning methods directly into industrial practice. The curriculum is designed as an intensive practical guide through the entire AI project lifecycle, from collecting and cleaning real-world data to deploying optimized models on edge devices. Participants will learn to work with multimodal data, from 1D sensor signals for predictive maintenance, through 2D camera footage for visual inspection, to 3D volumetric data. The course does not focus on the theoretical development of new algorithms but on the application of proven state-of-the-art architectures and tools (YOLO, nnU-Net, Local LLMs). Emphasis is placed on a data-centric approach, automation of training pipelines, and solution finalization using containerization and hardware acceleration (e.g., NVIDIA Jetson platform), enabling graduates to immediately transfer acquired skills to a production or development environment.

Course content:

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