The academic program Artificial Intelligence is aimed at training specialists with advanced knowledge and skills in the development and application of intelligent systems. The program covers key areas such as machine learning, neural networks, natural language processing, computer vision, data mining, and robotics.

— Deep Learning I, II

— Image Processing and Computer Vision I, II

— Artificial Intelligence in Industry and Research

— NLP and Operational Management

— Reinforcement Learning

— Ethics of Artificial Intelligence

— Robotics

— Intelligent Systems

— Multi-Agent Artificial Intelligence Systems.

— Development and implementation of machine learning algorithms and models for various tasks

— Optimization and improvement of machine learning model performance

— Working with large datasets and optimizing data processing workflows

— Ability to apply knowledge in project management

— Development and application of AI models for specific tasks connected with artifitial intelligence, for example, pattern recognition, natural language processing, anomaly detection, and others.

— Comprehensive AI training: The program covers key AI trends: Machine learning, neural networks, computer vision, natural language processing and data mining

— Strong mathematical and algorithmic foundation: The training is focused on in-depth study of mathematics, statistics, probability theory, and optimization methods necessary for the development of intelligent systems

— Practice- and project-oriented approach: Students acquire practical experience in developing and implementation of AI solutions, working with big data, and participating in real projects and internships

— Flexible individual learning path: The possibility to select additional disciplines (minors) from various fields allows for the development of interdisciplinary competencies for individual professional goals;

— Focus on the current needs of the digital economy: The program develops in-demand AI competencies including ethical, entrepreneurial, and managerial skills ensuring high competitiveness of graduates in the labor market.

— Software Designer

— Machine Learning Specialist

— NLP Engineer (Computational Linguistics Specialist)

— Computer Vision Programmer

— Neural Networks Specialist

— Application Developer

— AI Engineer

— Artificial Intelligence Specialist.