Demonstrate your deep knowledge of machine learning and neural networks by solving applied tasks from leading companies and research laboratories and stand a chance to win 600,000 rubles.
Olympiad for students who are well versed in AI and Data Analysis
Real cases
Companies and research laboratories create real-world case studies for the Olympiad tasks. All of them are realistic and can easily be encountered in the workplace.
Work in teams of two 
to three people
Bring your own team, or if you don’t have one, we’ll help you find teammates among other participants who also came alone.
Connect with experts
Meet professionals in the field of artificial intelligence, ask questions, and showcase your skills.
Community of like-minded individuals
You won’t meet random people at our Olympiad. Everyone is eager to demonstrate their talents and support each other while sharing ideas and insights.
Foundation for future work
Prove yourself in one of the best AI contests in the country. Participants in our Olympiad are recognized in large IT companies and research centers in Russia.
Examples of tasks
Who should participate
Students from around the world who have a solid understanding of machine learning and are familiar with modern neural network architectures
Required knowledge and skills
  • Mathematical statistics 
and probability theory
  • Programming in Python
  • Working with data: collecting, cleaning, and visualizing data
  • Algorithms and data structures theory
  • Machine learning algorithms
  • Deep learning frameworks
Examples of tasks
  • For the online stage: Predict how changes in the structure of materials affect their properties
  • For the offline stage: Analyze customer behavior to determine which products they are likely to be interested in
What awaits you
Online stage
  • Scientific tasks related to research and data analysis
  • Held on Yandex Contest
  • 2 weeks to complete the taskdata
Offline stage in Moscow at the Yandex office
  • The best 20-30 teams from the online stage will be invited to participate
  • Tasks related to real products and business
  • Educational program that will help you immerse yourself in the context of the task
  • Accommodation and meals will be provided for all participants
  • For participants from foreign universities, we’ll prepare an invitation and assist with visa processing
  • Merch for all participants of the Olympiad
The prize fund is 1,350,000 rubles
600,000 rubles
First place
450,000 rubles
Second place
300,000 rubles
Third place
Team
All tasks are completed in teams of two to three people. If you don’t have a team, just let us know during registration, and we’ll help you find one.
Language
The Olympiad will be conducted in English, and you can use a translator if needed.
Сost
Participation is free of charge.
Registration
Deadline: October 5, 2024

An email with access to the tasks will be sent to the address you provide during registration.
Online stage
From September 30 to October 11, 2024

Teams of two to three people will complete tasks on Yandex Contest. Results will be published on our website and sent via email.
Offline stage
From November 28 to December 2, 2024

This stage will take place in Moscow, where you’ll tackle product and business challenges using AI and data analysis.
Award of prizes
The prize pool
is 1,350,000 rubles.

Winners of the online stage

Winners of the online stage

01 peaRL
02 Macrame club
03 AXAXAXXAXAXA
04 CUDA out of memery
05 Chechnya95
06 ThreeAngryWives
07 Selling Pandas
08 Manifold Hypothesis
09 ИИнфоцыгане
10 DAT
11 We_Use_GPT
12 MINIONS MISIS MIPT ITMO [RASCAR]
13 NFM
14 It's just business
15 NameError
16 PyBye
17 JULEBINO
18 Неtorchябрь
19 Key 34
20 Treponema
21 Boba
22 Cyber Commandos
23 AI Capybara
24 BóbrDecision
25 ощество без б
26 looking for job
27 map_reduce
28 Cognitive Coders
29 Without_shaking
30 Коты-флексеры

Winners of the offline stage

Winners of the offline stage

01 AI Capybara
Ionov Timur
Ledneva Daria 
02 Selling Pandas 
Grinyuk Ilya 
Ugryumov Nikita
Ilyakov Nikita 
03 CUDA out of memery
Nasibullina Kamilla
Malov Roman 
Trofimov Ivan
FAQ
Wed Dec 04 2024 13:23:25 GMT+0300 (Moscow Standard Time)