Open Data Science (ods.ai)

Open Data Science (ods.ai)

Open Data Science (ods.ai) is a community platform for data science, machine learning, and AI practitioners, offering courses, competitions, hubs, and events like Data Fest.

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Last Updated Oct 21, 2026

About

Open Data Science, found at ods.ai, is an online community for people who work with or study data science, machine learning, and artificial intelligence. It addresses a common problem in the field: practitioners scattered across companies and cities who need one place to find courses, competitions, talks, and peers with shared interests.

The platform, active since 2015, organizes its content into topic-based tracks, company hubs, and regional community hubs, and it runs seasonal courses such as a Natural Language Processing & LLMs course and a classic machine learning course (OpenMLCourse). Its flagship event, Data Fest, combines online talks with offline days held in cities including Moscow, St. Petersburg, Novosibirsk, Almaty, and Belgrade. Recorded talks from the festival are published as tracks on the site. The site also lists competitions, hackathons, projects, and jobs, making it a hub for both learning and career activity in the Russian-speaking and international data science community.

Key Features

Topic tracks: Dozens of tracks covering areas such as NLP, Computer Vision, MLOps, LLM inference, agentic LLMs, Reliable ML, and ML in Science, where members follow talks and discussions on specific subjects.
Courses: Seasonal courses including the Natural Language Processing & LLMs course (stream 11, autumn 2026) and the OpenMLCourse on classic machine learning models.
Data Fest content: Recorded talks from Data Fest 2026 and Data Fest Siberia 6, organized into section tracks such as GenAI, ML in Advertising, and Code LLM.
Company hubs: Partner companies such as Yandex, SBER, VTB, AvitoTech, X5 Tech, Ozon Tech, and Lemana Tech maintain hub pages with their own content and activities.
Regional and special-interest hubs: Community hubs including ODS Moscow, ODS SPB, ODS Siberia, ODS Germany, ODS Poland, Women in Big Data, AI Talent Hub, and ML & Security.
Competitions, hackathons, and events: A section listing machine learning competitions, hackathons, and online and offline events, including AvitoTech ML CUP 2026.
Jobs board: A dedicated jobs section connecting community members with employers.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans. Community participation appears to be free.
  • Offline events: Data Fest 2026 included offline days in Moscow, St. Petersburg, Novosibirsk, Ufa, Almaty, and Belgrade, plus online talk days.
  • Content availability: Festival talks are published progressively on ods.ai after the event, so members can watch them by track.
  • Video channel: The community publishes video content on its YouTube channel, ODS.AI.

Who It's For

Open Data Science is aimed at practicing data scientists, machine learning engineers, MLOps specialists, students, and researchers who want structured learning and community connection. It suits people preparing for ML competitions, looking for jobs in data science, following specific areas like LLMs or computer vision, or attending industry events. Company teams also use it to publish talks and reach the community through partner hubs.

FAQ

What is ods.ai?ods.ai is the website of the Open Data Science community, a platform offering courses, topic tracks, competitions, company hubs, and events for data science and machine learning practitioners.

Is Open Data Science free to use?The pages reviewed do not list any paid plans, and community participation appears to be free; check the official site for details on specific courses or events.

What courses does ods.ai offer?Active courses include a Natural Language Processing & LLMs course and a classic machine learning course (OpenMLCourse), offered in seasonal streams.

What is Data Fest?Data Fest is the community's annual festival, combining online talks with offline days in cities such as Moscow, St. Petersburg, Novosibirsk, Almaty, and Belgrade, with recorded talks later published in tracks on the site.

How does the site handle personal data?The site uses cookies, including web analytics services, and refers users to its privacy policy for details on personal data processing.