Computer Vision is not just about neural networks—it’s about systematically working with images, video, and spatial data.
In this workshop, we’ll explore how Computer Vision works in practice, where to start, and how to apply these approaches in real projects—from image processing to object tracking and 3D reconstruction.
This workshop will be useful if you are:
- A Software Developer looking to expand your stack and work with visual data
- An Embedded Developer planning to build CV systems for devices and sensors
- A Research / R&D Engineer interested in practical Computer Vision
- Someone with basic programming, Python, and math knowledge who wants to understand how these skills are applied in CV
This is not a “from scratch” workshop, but it’s also not only for specialized CV experts—it’s the optimal entry point into the field.
Our speaker:
Oleksii Pysarchuk — Doctor of Sciences, Professor at Igor Sikorsky Kyiv Polytechnic Institute, and an expert in Data Science, Computer Vision, and AI.
He has over 20 years of teaching experience and has worked on 30+ R&D and commercial projects, implementing Computer Vision and Machine Learning solutions.
He works at the intersection of science and engineering, demonstrating how Computer Vision is applied in real systems and products.
What we’ll cover:
- How CV technologies are applied in projects: from digital image processing to segmentation and object recognition
- Object detection and tracking in video streams, with practical use cases
- 3D scene reconstruction and navigation—how it works and where it is applied
After the workshop, you will:
- Understand the skills needed to work with Computer Vision
- See how CV solutions are integrated into real projects
- Have a clear idea of whether this field is right for you and how to enter it
- Be able to take the first steps toward creating your own CV solutions
Payment in installments without commission and interest is available from PrivatBank
