This program focuses on deep learning, a powerful set of AI techniques based on neural networks that have significantly improved performance in areas like computer vision, speech recognition, natural language processing, reinforcement learning, and bioinformatics. It covers the fundamentals of supervised and unsupervised learning within deep architectures, with a detailed look at convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The applied part of the program emphasizes computer vision and natural language processing tasks. A strong practical component is integrated through numerous assignments.
The curriculum covers the foundational aspects of neural networks and progresses to advanced topics in deep learning, with a strong emphasis on practical application.
Graduates of the Faculty of Computational Mathematics and Cybernetics are highly competitive in the job market due to their strong theoretical foundation and practical/research experience. They find employment in all areas utilizing computing technology.
The program is open to all skill levels.
The program has a duration of 4 weeks.
The program is delivered online through webinars.
A Higher Education Diploma is required for a qualification certificate, or students can be admitted with a certificate of current enrollment. The program is open to all skill levels.
The curriculum covers the Fundamentals of Neural Networks, Feedforward Networks, Recurrent and Convolutional Neural Networks, and Generative Models, with an emphasis on practical application in computer vision and natural language processing.
You need to submit an application form, personal data processing consent form, main application form, a copy of your passport, and a copy of your higher education diploma or certificate of enrollment via email. You will then receive a contract and payment instructions.
Graduates are competitive in the job market and can find employment in academic and research institutions, government, financial institutions, consulting firms, and Russian and international companies. Many graduates also continue their education in postgraduate programs.