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AI learningSept 2026

Neural Network and AI Courses: How to Actually Choose One

By Daniil Shastovsky·· 2 min read

Free, if you're willing to be self-directed

Stepik hosts several free, Russian-language courses with real depth — "Машинное обучение" (72 lessons, hundreds of reviews) and "Введение в Data Science и машинное обучение" among the most established — video lessons plus graded exercises, with a free completion certificate.

The Yandex School of Data Analysis (ШАД) publishes its actual machine learning handbook and course materials free at education.yandex.ru/handbook/ml — this is the same material Yandex uses to train its own ML engineers, not a simplified public version.

Business-oriented, no-code-required (Skillbox, Netology)

Skillbox's "Нейросети: практический курс" runs about 3 months (~74,900 ₽ at the discounted rate seen at time of writing, with a 12-month installment option) and focuses on applying existing AI tools — text, image, video, automation via n8n, AI coding assistants — rather than building models from scratch.

Netology runs several shorter, role-specific programs instead of one broad course — "Нейросети для бизнеса," "для маркетинга и продаж," "для анализа данных," and a from-scratch ChatGPT/prompting course — aimed at people who want to use AI tools well in a specific job, not become an ML engineer.

Technical, developer-oriented (OTUS, GeekBrains, Karpov Courses)

OTUS's Machine Learning tracks assume real Python and math background and go from a "Basic" tier (from ~9,400 ₽/month on an installment plan) up to a full 12-month specialization (~170,000 ₽), covering PyTorch, transformer architectures, and MLOps rather than tool usage.

GeekBrains and Karpov Courses sit in similar territory — GeekBrains' 12-month "AI Specialist" program runs roughly 150,000+ ₽, while Karpov Courses' machine learning programs range from about 35,000 ₽ for a focused track up to a joint master's degree with HSE at 245,000 ₽ — both assume you're aiming for an actual ML engineering role, not general AI literacy. A practical filter: if you want to use AI tools better at your current job, the Skillbox/Netology tier is the right depth for the price; if you want to become the person who builds the models, the OTUS/GeekBrains/Karpov tier — or the free ШАД material, if you're willing to self-study rigorously — is where the actual skill gets built.

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