Mentor-led, not video-only
Homework with review, regular calls and personal feedback. You move along a clear route from your first Python script to production-level ML.
Learn Data Science
like an engineer.
SenatorovAI is an international Data Science school and an AI/ML outsourcing studio. Every program is taught personally by Ruslan Senatorov, a practicing engineer — through real code, GitHub practice and commercial projects, not slide decks.
10,751+
learners on Stepik
22
courses in the catalog
1000+
personal lessons taught
Why students choose SenatorovAI
Engineering practice from day one
Git, GitHub, code review and Kaggle are part of the curriculum, not an afterthought. Everything you build is public and verifiable.
Depth over buzzwords
We derive machine learning from the math up: loss functions, linear algebra and optimization implemented in Python from scratch before touching libraries.
Transparent pricing. One level of access.
No hidden tiers: the whole school opens with a single subscription. International bank cards are accepted via Boosty.
2 days free
Freesign up on Boosty
- Full access to the school's private Telegram channels
- All courses and materials, same as subscribers
- Meet the school before subscribing
The school for 30 days
$22per month (≈ 1,990 ₽), renews automatically
- Every course and all private Telegram channels
- Homework with review and breakdowns
- Calls and mentoring
- The school's Kaggle and GitHub practice
Personal lessons
By agreementtopic, schedule and price discussed personally
- One-on-one with Ruslan Senatorov
- Topic and level tailored to your goal
- Convenient time, online
For business · B2B
IT, Data Science
IT, Data Science
and Python outsourcing
The school grew out of an IT organization, so we take on commercial projects: data analysis, machine learning, automation, Python development and internal tools — as an external engineering loop for your task.
About the format, in short
Yes. The catalog is deliberately split into free and paid programs. Free courses let you start with Python, math, data analysis and Kaggle with no financial barrier.
Yes. Besides self-paced materials, the school offers mentor-led formats with homework review, group curators, regular calls and accountability.
Paid programs go deeper into solver logic, computational methods, deployment and engineering detail. They emphasize practice, mentorship, personal feedback and portfolio building.
Yes. For teams we assemble a private track covering Python, Data Science, AI workflows, internal tools and the company's applied cases.
Yes. There are from-scratch tracks for Python, math and Data Science, and everything is explained through the solver approach, code, homework and practice — not abstract theory alone.
Yes. The school runs commercial projects where learners earn money and build portfolios, plus freelance cases, code review and pull-request practice that connect study to real industrial work.
See the school from the inside. Two days free.
Sign up for a free 2-day trial on Boosty — the private channels, courses and materials open immediately.