2 lessons

AI Tools in Practice

Marina Volkova's practical view, as a CTO rather than a hobbyist, on where AI tools genuinely save time on real business tasks — and where they don't.

What you'll learn

✓Write prompts that produce usable business output, not just demos
✓Apply AI tools to real workflows: reports, drafts, first-pass analysis
✓Know the limits — and when a task actually needs a data or engineering skillset

Your next step

This short course is a taste of a full program — here's where it leads.

Curriculum ready · content in progress10 modules

Python Developer

12 months (53 weeks)

Go from Python fundamentals to product analytics and a data warehouse, learning statistics, SQL, A/B testing and ML along the way — inside Nordwind's real data.

Curriculum ready · content in progress9 modules

Data Scientist

9 months (39 weeks)

Master the statistics, algorithms and machine learning behind real predictive models — up to industrial ML with Spark and deep learning.

Curriculum ready · content in progress14 modules

Machine Learning Engineer

9 months (41 weeks)

The deepest program in the catalog: from SQL and data warehousing through big data, stream processing, data governance and production Spark ML.