Discounted artificial intelligence courses for small and medium-sized companies

16.10.2023

The European Digital Innovation Hub (EDIH Ostrava), in cooperation with IT4Innovations and the Faculty of Electrical Engineering and Computer Science at VŠB-TU Ostrava, is organising discounted artificial intelligence courses in the next two months fot smalla and medium-size companies The courses are designed for small and medium-sized companies that want to increase their competitiveness using AI. The courses offer a valuable opportunity to learn basic and advanced AI techniques that can be used in various business areas such as predictive maintenance, machine learning, natural language processing and computer vision.

Courses and prices offered:

The EDIH project provides all services of IT4Innovations (national supercomputer centre) and the Faculty of Electrical Engineering and Computer Science (FEE) at a discounted rate. Thus, companies only pay 15% of the calculated costs. The subsidized price for small and medium-sized companies (up to 500 employees) is CZK 1,500 per person/course.

These are hands-on courses from the NVIDIA Deep Learning Institute (DLI). Courses culminate in the prestigious NVIDIA certificate.

8 November 2023

Presentation of Supercomputer Centre services

For the general public

Participants will have the opportunity to see a presentation of the services of the Supercomputer Centre and the Faculty of Electrical Engineering and Computer Science (VŠB). It will also include interactive excursions within the supercomputers and laboratories, as well as the newly created testbeds (laboratories), which are part of the Faculty of Electrical Engineering and Computer Science.

The event is still in preparation. For more information, follow the VŠB events calendar.

26 October 2023

Application of AI in Predictive Maintenance

(Application of artificial intelligence for predictive maintenance)

Course in English

In this course from the NVIDIA Deep Learning Institute (DLI) portfolio, developers will learn how to identify anomalies and failures in time series data, estimate the remaining lifetime of relevant parts, and map anomalies to failure states.

Registration

More information

22 November 2023

Data Parallelism: How to Train Deep Learning Models

(Data parallelism: How to train a deep learning model)

Course in English

In this course, you will learn parallel deep learning training methods on multiple graphics cards to reduce the training time required for data-intensive applications.