Theory inside a working loop
Material never exists apart from code, practice, engineering packaging and how knowledge shows up in real tasks.
An engineering
Data Science school.
SenatorovAI is an international school of Data Science, Python and mathematics. Code, data and models are taken apart here so that you understand what is happening instead of repeating examples. Study feels close to real work, because the school grew out of an IT organization and operates as its structural division.
10,751+
learners on Stepik
22
courses in the catalog
1000+
personal lessons taught
GitHub + Kaggle
all practice is public
The school as part of a real IT environment
SenatorovAI operates inside an IT organization: learning is connected to a real engineering environment, projects, code and professional practice.
From foundations to depth
First the fundamentals: Python, data, math, model logic. Then practice and engineering discipline, and only after that the harder ML and solver topics.
Progress control built in
Homework, feedback, calls and mentoring are not decorative: they exist so that learning actually moves you forward.
How the school came to be
Before the school
Ruslan wanted to be a programmer since school: uCoz and UMI.CMS websites, game servers, and a constant urge to understand systems from the inside. Two degrees later (finance and economics, graduating with honors in 2020), the pull toward engineering won.
2019–2021: professional development
In 2019 he joined UMISOFT — PHP, Linux and his first pull request on GitHub. At AlgoritmPRO he grew from intern to full-stack developer, built CI/CD processes, solved DevOps tasks and mentored his first junior developer.
2022: freelance & first lessons
Freelance brought direct, measurable responsibility — and a client so satisfied he asked for programming lessons. That is how teaching Python, JavaScript and discrete math began: from earned trust, not a career plan. The same year Ruslan entered the ITMO University master's program in applied mathematics and computer science.
2023: the school takes shape
After 1,000 lessons taught, the SENATOROVAI GitHub organization was founded in April 2023. The school formed as an ecosystem: courses, a blog, open repositories, practical routes and an outsourcing loop connected to real engineering.
Today
An international school of Data Science, data analysis and programming built around Python, math, ML, engineering thinking and GitHub practice — plus an outsourcing studio where strong learners meet real client work.
The core value
Not just transferring knowledge, but building independent, strong and honest specialists who understand complexity, work systematically and build a lasting professional foundation.
See it for yourself
Two days of full access, free: every course, private channels and materials.