Master in Computer Vision
offered by HSE University

Master in Computer Vision
at
HSE University
Overview

Implementation of ML in all types of production in industry, retail, medicine, banking, etc

Master in Computer Vision

Table of contents

Earn a master degree and alumni status from HSE University
Project and interactive work for students
Participation in projects of real companies, 16 cases in your portfolio
Ability to work on complex CV tasks
Prepare a role for Computer Vision Software Engineer, Perception Engineer, 3D Perception/Computer Vision Algorithm Engineer

Skills you will learn

Who should do this course?

Recent graduates and other professionals with an interest in artificial intelligence (AI)

What are the course deliverables?

Graduates will demonstrate a comprehensive understanding of fundamental concepts in computer vision, including image formation, feature detection, image segmentation, object recognition, and motion analysis
Graduates will be proficient in developing and implementing advanced algorithms for solving complex computer vision problems, such as deep learning architectures, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)
Graduates will have the skills to apply various image processing techniques, including filtering, edge detection, and morphological operations, to preprocess and enhance images for subsequent analysis
Graduates will be able to leverage machine learning techniques, including supervised, unsupervised, and reinforcement learning, for tasks such as object detection, image classification, and semantic segmentation

More about this course

The Master of Computer Vision at HSE University is a fully online degree programme designed for Coursera
The programme aims to provide an opportunity for a wide range of professionals to become more fully immersed in a modern, dynamic field and to learn from leading experts at companies such as Huawei, Itseez3D, Intel, Harman, and Xperience.ai, as well as from HSE scholars who are involved in advanced research in the field of computer vision