karpov.courses

Name

karpov.courses

Legal name

OOO «Карпов Курсы»

Website

https://to.karpov.courses

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

101–250 employees

Ownership category

akta.pro rank

Product category

Online IT Education

NAICS

Business Schools and Computer and Management Training (6114), Computer Training (61142), Professional and Management Development Training (611430)

SIC

Services-Educational Services (8200), Services-Prepackaged Software (7372)

akta.pro industry

PRIMARYEDAFACAA

Core Digital Curriculum & Courseware (Full Programs & Units)

Education/Education Technology (EdTech) & Digital Learning/Digital Curriculum, Courseware & Interactive Learning Content

SECONDARYBPAMAJAL

Online Learning Content & Course Publishing Platforms

Business & Public Services/Web, Mobile & Digital Platforms/Media Streaming, Publishing & Content Platforms

SECONDARYMPAJABAH

Educational Digital Courseware & Learning Platforms (LMS-Integrated)

Media, Entertainment & Sports/Publishing (Books, News, Magazines)/Educational & Academic Publishing (Textbooks, Scholarly, STM)

SECONDARYEDAGAKAB

Higher Education Course Design & Online Program Development

Education/Educational Publishing & Learning Content/Instructional Design & Content Development Services

SECONDARYMPACALAJ

Course Authoring, Hosting & Delivery Tools (LMS for Creators)

Media, Entertainment & Sports/Digital Media & Content Platforms (Online Video, Podcasts, Creators)/Online Learning Content Platforms (Creator-Led Courses)

Keywords

• Online IT education
• Data science training
• Machine learning courses
• Corporate training
• Data analytics programs

Headquarters

HQ city

Moscow

HQ country

Russia

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B and B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Individual Course Sales: Direct sale of online courses to individual consumers. Students pay upfront or in installments. Includes specialized courses (Data Analyst, ML Engineer, Data Engineer, Deep Learning, System Design), simulators (subscription-based 3/6/9 months), and skill-specific courses (SQL, Python, Docker, Excel, Superset, ClickHouse). Revenue model is primarily one-time course purchase or recurring subscription for simulators.
2. Corporate / B2B Training: B2B corporate training programs with volume-based discounts. Companies purchase courses for employee upskilling. Offers three-party payment contracts (company + employee split), group discounts scaling with employee count, and bespoke curriculum development.
3. University Partnership Programs: Joint degree/certificate programs with universities (НИУ ВШЭ, ИТМО) that award official state-recognised diplomas. Programs include 'Аналитика больших данных' (HSE), 'Машинное обучение: от технической базы до создания ИИ-продукта' (ITMO), 'Финансовая аналитика 2.0' (HSE), 'ИИ-автоматизация' (ITMO).
4. Referral and Affiliate Revenue: Referral program where partners and students earn 10% commission on referred course purchases. Affiliate program via Advcake for third-party traffic referral.
5. Installment Payment Processing: Revenue from installment payment processing through Tinkoff Bank (Tinkoff Credit, up to 24 months) and Yandex Split. Company earns as a merchant on these platforms.

Pricing tiers

Go-to-market motion5 records

Distribution channels5 records

Marketing channels9 records

Core offering

Karpov.courses operates an online school delivering paid IT and data science education programs, simulators, and skill-specific courses to individual learners and corporate clients. Course delivery runs on a proprietary LMS platform registered in the Russian Software Registry, with content covering data analytics, machine learning, data engineering, deep learning, and system design, plus joint diploma programs with НИУ ВШЭ and ИТМО universities.

Product overview

Karpov.courses is an online IT education school offering a portfolio of 14 paid comprehensive programs and 8 free courses focused on data science and analytics. The platform operates through its proprietary 'Образовательная платформа LMS' (Educational Platform LMS) and includes interactive simulators (Симулятор аналитика, Симулятор DS, Симулятор А/В-тестов, Cимулятор SQL) for hands-on practice. Programs range from beginner courses (Аналитик данных, Инженер машинного обучения, Инженер данных с нуля) to advanced specializations (Продвинутое машинное обучение, Deep Learning Engineer, Системный дизайн). The company also offers university joint programs with НИУ ВШЭ and ИТМО leading to recognized diplomas, corporate B2B training, and a career center for job placement support. AI features include an integrated chatbot for instant learning assistance.

Differentiator

Problem solved

Functional benefit

Products and services

• Аналитик данных (Data Analyst) Six-month comprehensive program teaching data analysis from scratch, covering Python, SQL, statistics, and product analytics, designed for beginners with no prior IT background.
• Продвинутая аналитика данных (Advanced Data Analytics / HardDA) Advanced analytics program targeting experienced analysts, covering complex analytical techniques and tools used in real industry tasks.
• Инженер машинного обучения (Machine Learning Engineer - StartML) Seven-month program for beginners covering machine learning fundamentals and practical engineering applications to become ML engineers.
• Продвинутое машинное обучение (Advanced Machine Learning / HardML) Advanced machine learning program for professionals covering sophisticated ML algorithms and production-grade techniques.
• Инженер данных (Data Engineer) Five-month program teaching data engineering skills for building and maintaining data pipelines and infrastructure.
• Инженер данных с нуля (Data Engineer from Scratch) Six-month beginner program covering data engineering from fundamentals, aimed at learners without prior IT background.
• Системный дизайн (System Design) Five-week program teaching system design principles for data-intensive applications and architecture.
• Deep Learning Engineer (Инженер глубокого обучения) Four-to-five-month program focused on deep learning, neural networks, and natural language processing applications.
• Системный аналитик (System Analyst) Program for beginners to become system analysts, covering requirements analysis and business process modeling.
• Симулятор аналитика (Analyst Simulator / SimDA) Interactive subscription simulator for practicing analyst tasks in a sandbox environment with real-world scenarios; available in 3/6/9-month plans.
• Симулятор DS: тренажёр по анализу данных и машинному обучению (SimDS) Comprehensive subscription simulator for data science practice covering data analysis and machine learning tasks on real industry scenarios.
• Симулятор А/В-тестов (A/B Testing Simulator / SimAB) Three-month subscription simulator focused on A/B testing methodology and statistical analysis.
• Симулятор SQL (SQL Simulator) Free SQL practice simulator for learning and mastering SQL queries.
• Аналитика больших данных ВШЭ (Big Data Analytics with HSE) Two-year online master's program with НИУ ВШЭ providing in-depth big data analytics education and awarding an established state-recognized diploma.
• Машинное обучение: от технической базы до создания ИИ-продукта (ML Engineering with ITMO) Nine-month program with ИТМО covering ML engineering from fundamentals to production AI product creation; awards a recognized diploma.
• Финансовая аналитика 2.0: от Excel к BI-системам (Financial Analytics 2.0 with HSE) Three-month program with НИУ ВШЭ on financial analytics, transitioning from Excel to BI systems; awards a state-recognized diploma.
• ИИ-автоматизация: проектирование и запуск агентных систем (AI Automation with ITMO) Three-and-a-half-month program with ИТМО on designing and deploying AI agent systems, combining academic framework with practical methodology.
• Центр карьеры (Career Center) Career support service providing HR consultations, resume building, mock interviews, and job placement assistance to graduates.
• Корпоративное обучение (Corporate B2B Training) B2B corporate training programs with volume-based discounts, three-party payment contracts (company + employee split), and bespoke curriculum development for client companies.

Quantifiable outcome

• 74% of graduates find relevant employment within 3 months of course completion
• +3 more outcomes

Named customers10 records

Segments5 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability2 records

Feature6 records

Partnerships

Five partnerships are on record, tiered minor and core.

• Magnit (Magnit Tech)minorOthers · 1 January 2024Magnit Tech is mentioned on the Advanced ML course as offering accelerated selection process for karpov.courses graduates. Hiring relationship where Magnit Tech recruits trained graduates.
• НИУ ВШЭ (National Research University Higher School of Economics)coreStrategic or Co-development Partner · 1 January 2023Joint programs in big data analytics (2-year master's program), financial analytics (3-month intensive), and introduction to online master's program. Programs award official state-recognized diplomas of established sample. HSE is one of Russia's top-ranked universities with strong analytics and data science faculty.
• ИТМО (National Research University of Information Technologies, Mechanics and Optics)coreStrategic or Co-development Partner · 1 January 2023Joint programs including 'Machine Learning: from Technical Foundation to AI Product Creation' and 'AI Automation: Designing and Launching Agent Systems'. Delivered in collaboration with ITMO's academic framework, combining karpov.courses practical methodology with ITMO's theoretical foundation.
• Skolkovo Innovation CentercoreOthers · 1 January 2022Karpov.courses obtained official Skolkovo resident status in 2022, granting access to government support programs, tax benefits, and integration into Russia's innovation ecosystem. This status recognizes the company as an innovative technology business.
• QIWIminorOthers · 1 January 2020QIWI is mentioned as an employer where karpov.courses graduates have been hired (student Elena found a Junior Data Scientist position at QIWI after completing training). Not a formal commercial partnership but a hiring relationship.

Scale indicators9 records

Recent moves7 records

Expansion highlights5 records

Direct peers

• DataCamp: Global subscription-based platform specializing in data science, Python, SQL, and machine learning courses. Directly comparable on the data-skills curriculum and simulator-style hands-on practice that karpov.courses offers via SimDS, SimSQL, and SimAB.
• OTUS: Russian online school focused on advanced IT specializations (Data Engineering, ML, System Design) for experienced professionals. Directly comparable on the upskilling/advanced segment that karpov.courses serves with HardML, System Design, and Data Engineer programs.
• Skillbox: One of Russia's largest online EdTech platforms offering Data Analyst, ML Engineer, and Data Engineer programs alongside a broad professional catalog. Overlaps directly with karpov.courses on IT/Data Science specializations, installment payment rails, and corporate B2B training.
• Netology: Russian online university offering Data Science, Data Analyst, and ML specializations plus professional development courses. Comparable audience and B2B model, with longer-form programs that overlap karpov.courses' joint-university offerings.
• GeekBrains: Long-running Russian online IT school owned by VK/Mail.Ru Group, offering Data Analyst, Data Scientist, and ML programs with corporate training. Directly comparable in product mix, target audience (career changers and upskillers), and B2B motion.
• Yandex.Practicum: Yandex's online IT bootcamp brand offering Data Scientist, Data Analyst, and related programs. Directly comparable as a Russia-only career-change IT school with practitioner instructors, installment payments, and career-center support — competing for the same D2C and corporate learner pools.

Emerging players

• Stepik: Russian-origin MOOC platform with free and paid courses across programming and data science. Comparable as a low-cost, content-led alternative in the same Russian-speaking learner base, but with a broader content catalog rather than career-focused programs.
• ProductStar: Russian online school specializing in Product Management, Analytics, and Data Science programs. Closely comparable on the analytics and data-science curriculum positioning and the practitioner-instructor model used by karpov.courses.

Broad incumbents

• Coursera: Global MOOC platform with a broad catalog including Data Science, ML, and Data Engineering specializations from top universities. Comparable as an LMS-integrated courseware platform for the same target learner, though at a much broader catalog scope than karpov.courses' IT-focused stack.

Regional players

• FoxmindEd (Foxford): Russian online school for school and university students, offering programming and data-related courses. Comparable on the Russian-language online learning model and installment payment infrastructure, but oriented toward K–12/university rather than adult career-change learners.

Market position

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/c/KarpovCourses
• LinkedInlinkedin.com/company/karpovcourses

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about karpov.courses