The course is designed to provide students with an opportunity to study basic models and methods of artificial intelligence based on deep neural networks. The course is oriented to the competencies of problem solving in the field of image processing in computer vision systems and natural language text analysis in human-to-machine interaction systems. Laboratory classes and individual task completion lets the course students master the practical skills of specialized program means of deep neural network development and learning. In addition, the course program includes visiting IT companies
—Nikita V. Andreyanov, academic supervisor
Nikita Andreyanov
Senior Lecturer of the Automated Data Processing and Control Systems Department
Academic program information
Russian
training language
80 000 RUR
participation fee
14 days
course duration
School graduates
Bachelor course undergraduates
Engineering Master degree undergraduates
To pass the training successfully, B2 level of proficiency in Russian language is needed. You do not have to submit a language certificate
Introduction to Artificial Intelligence
Fundamental notions of AI
AI application areas
Machine learning
Program means of machine learning
Python programming language
Deep learning systems
Neural networks
Convolutional neural networks
Neural network image processing
Recurrent neural networks
Transformer networks
Academic supervisor: Nikita V. Andreyanov, Senior Lecturer of the Automated Data Processing and Control Systems Department E-mail: NVAndreyanov@kai.ru
Apply to the course right now! Shift 3 admission deadline: July, 10