About us

The Artificial Intelligence Academy for Teens is an international educational project under SberBank`s Charitable Foundation «Investment to the Future» supported by Sber. The AI-Academy aims to educate and guide talents among teens in the field of artificial intelligence.

We believe that, in future, AI based technologies will be presented in all areas. Therefore, it is important to learn how AI works and how it can be used. AI-Academy creates self-study materials for students, educational content and training materials for teachers to use as a part of school programme or extracurricular activities so that school education to keep up with changes in IT.

For those who seeks professional development in the field of artificial intelligence, we are creating new opportunities — competitions with practical challenges and valuable prizes, advantages for university admission to leading universities, internships at the SberBank.

AI-Academy'S activities

Training for students

Competitions are an important part of the project, because they allow participants to apply their knowledge and skills to solve practical problems.

Since 2019, the main competition of the AI-Academy has been held in the format of an All-Russian Contest in partnership with NTI Contest: the annual high school student team tech competition. Best participants can win valuable prizes, certificates for education and get privileged access to the leading universities in Russia.

Competitions

Competitions are an important part of the project, because they allow participants to apply their knowledge and skills to solve practical problems.

Since 2019, the main competition of the AI-Academy has been held in the format of an All-Russian Contest in partnership with NTI Contest: the annual high school student team tech competition. Best participants can win valuable prizes, certificates for education and get privileged access to the leading universities in Russia.

AI Academy for teachers

The main goal of the AI-Academy for teens is to give each student an opportunity to receive relevant knowledge and develop in the field of artificial intelligence.

Academy`s experts work on brand-new educational materials which can be introduced into the curriculum of school lessons as well as on advanced training courses in the field of machine learning.

All materials for teachers can be found in the respective section of our website in Russian.

Our experts

Andrey Chertok

Andrey Chertok

  • Managing Director for Research and Development at SberBank, Head of the Academy of Technology and Data at SberBank Corporate University
  • Graduated the faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University , PhD in physics and mathematics
  • Responsible for applied research in the field of Data Science, Machine Learning and Artificial Intelligence at Sberbank
  • Supervise the development of algorithmic trading models and systems in hedge funds
  • Author of 15 scientific publications in industry-leading global journals
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Alexey Natekin

Alexey Natekin

  • AI Academy expert, Founder of the Open Data Science
  • Graduated the faculty of Mathematics and Mechanics of St Petersburg University, PhD student at TUM
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Tatiana Shavrina

Tatiana Shavrina

  • Head of division at SberBank, team lead of the Research & Development in NLP team, responsible for research and development of experimental text processing technologies
  • Graduated National Research University “Higher School of Economics”, School of linguistics and Faculty of Computer Science, faculty of Philology of Lomonosov Moscow State University
  • Lead the group for the development of an automatic checking for the Unified State Exam for the Russian language
  • Author of 13 scientific publications in ndustry-leading conferences and journals in the field of NLP, the first of which was made when Tatiana was in the 9th grade
  • Exchange student in 3 universities around the world: in Finland, Portugal and the UK
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Sergey Aksenov

Sergey Aksenov

  • Senior Data Scientist at SberBank
  • Graduated of the faculty of Applied Mathematics and Informatics of Moscow Institute of Physics and Technology
  • Lecturer at MIPT and HSE
  • Member of the ACL and ELRA
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Nonna Shakhova

Nonna Shakhova

  • AI Academy expert, Data Engineer
  • Organizer of ODS meetups, project Manager at the Data Souls
  • Graduated St. Petersburg Mining University
  • Supports the Women in Data Science (HSE), IT-Girls (Microsoft) initiatives
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Maria Tikhonova

Maria Tikhonova

  • Leading Data Scientist at SberBank
  • PhD student at the Faculty of Computer Science of Higher School of Economics
  • Graduated the faculty of Mechanics and Mathematics of Lomonosov Moscow State University and the School of Data Analysis
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Dmitry Konyrev

Dmitry Konyrev

  • Master in Applied Mathematics and Informatics, graduated National Research University "Moscow Power Engineering Institute"
  • Product manager of AI products at SberBank
  • Leader of a team that developed the "Robot-Lawyer" project for an automation of legal due diligence in the "Credit in 7 minutes" process
  • Head of the "Digital manager" project, an automated system to help managers in decision-making
  • Member of ACL
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Mark Potanin

Mark Potanin

  • Senior Data Scientist at Sberbank
  • PhD student at MIPT
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Denis Dimitrov

Denis Dimitrov

  • Senior Data Scientist at SberBank
  • PhD student of Mechanics and Mathematics at Lomonosov Moscow State University
  • Participant in working groups for grants of the Russian Science Foundation
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Dmitry Bogdanov

Dmitry Bogdanov

  • AI Academy expert, expert of the Moscow Center for the Technological Modernization of Education and the project competition "TechnoPark"
  • Coordinator and teacher at Yandex.Lyceum and Samsung IT School
  • Computer science teacher at School №1474 in Moscow
  • Russian Unified State Exam expert in Informatics and ICT
  • Graduated the Moscow Aviation Institute, PhD at the Department of Informatics at the Plekhanov Russian University of Economics
  • Winner of the profecctional competition "New teacher of new informatics. Reboot" in 2018 and 2019 years
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Media about us

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