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Modern State of Artificial Intelligence

This online program aims to introduce students to the contemporary state of Machine Learning and Artificial Intelligence. It provides comprehensive practical experience and builds a thorough theoretical background, which become more and more valuable in the constantly emerging field of Artificial Intelligence.

Online Masters program at MIPT

Apply for 2025 batch

Solve real business or research-oriented problems
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Retrieve meaningful insights from the existing data
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Present data-driven ideas to non-technical audience
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MSAI graduates are ready to
Build stable, efficient and scalable software
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Target audience
IT specialists
Technical Entrepreneurs
Financial experts
Professionals from non-IT domains
Vladislav Goncharenko
Vladislav Goncharenko — founder of the project, course author and lecturer on Machine Learning, Computer Vision and Recommender Systems at MIPT, MADE and HSE; Head of video recommendations at Dzen, ex-head of perception system of self-driving trucks.
Radoslav Neychev
founder of the project, course author and lecturer on Machine Learning at MIPT, MADE and MSU; AI track academic director at Harbour. Space University (Barcelona, Spain), co-author of "Machine Learning" handbook by Yandex, collaborated with CERN.
Authors
We‘ve built one of the acknowledged (2k+ stars on github) Machine Learning course taught at MIPT, YSDA, MSU, MADE (big data academy by vk.com), Harbour. Space University (Spain and Thailand), etc.
Our goal is to provide top-tier education and help as many people as we can to master the field of AI, so our educational materials are are open-sourced.
Curriculum
  • Math basics of AI
The course provides the mathematical foundation necessary for further work in artificial intelligence. It includes the fundamentals of mathematical analysis, linear algebra, optimization methods, and discrete mathematics.

  • Probability Theory and Statistics
The course is intended for masters of mathematics interested in modern discrete mathematics methods and applications of probability in computer science. The course includes all the basic definitions and statements of probability theory: Kolmogorov’s axiomatics, distributions, random variables and vectors, expectation, probability inequalities, laws of large numbers and the central limit theorem.

  • Software Development with Python
This course focuses on the fundamentals of software engineering. Good design is an important part of any project. This course covers the basics of the Python programming language, basic concepts, and language constructs. It also provides tools for using the Python language in complex projects. Students will gain insight into proper code design, code base maintenance, and integration of your applications with others.

  • Algorithms and Data Structures
This course is designed to provide a theoretical foundation in computer science. Unlike courses in mathematical programming, it focuses on concepts and ideas rather than detailed proofs. The main goal is to provide an intuitive understanding of what constitutes an algorithmic problem, which problems can be solved in principle, and which problems can be solved efficiently.
Price
549 000 ~= 6 395$ per year
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FAQ
Graduate students feedback
  • It's great that all lectures remain accessible, and I can return to them even after graduation. This is a completely different level of knowledge transfer compared to when we were studying face-to-face; if you're not in class and you don't write everything down, then it's lost to you forever.

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    Alina Golkina, Graduate of MSAI, 2023
  • The main advice is to make the most of these two years. This is the time you need to dedicate to studying because it gives you the opportunity to grow as a specialist in a new field and acquire knowledge you probably wouldn't get anywhere else.

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    Maria Katyusheva, Graduate of MSAI, 2023
  • The most telling moment, I think, is that I work in my profession using what I know well. I was never told, "Forget everything you learned at university"—instead, I understand that I know everything necessary and feel confident professionally.

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    Dmitry Korshunov, Graduate of MSAI, 2022
  • I was never an alien in the program. Although I don't know Russian, the professors have made sure that they always communicated in English when I was in the webinar room.

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    Bharani Jayakumar, graduate of MSAI, 2023
Prerequisites
Completed higher education
Calculus basic knowledge
English (equivalent to B2)
Linear Algebra basic level
Basic programming skills
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