Office hours
Ask when you're actually stuck
Scheduled sessions where you bring a real problem — a model that won't converge, a dataset that makes no sense — and work through it with someone who has seen it before.
AI & Data Science
Drimlask brings together practitioners who work with machine learning and data pipelines every day — and the people who want to learn from them, wherever in Ukraine they are.
See the programOffice hours
Scheduled sessions where you bring a real problem — a model that won't converge, a dataset that makes no sense — and work through it with someone who has seen it before.
Async feedback
Submit your notebooks or project drafts and receive written notes from instructors — specific, line-level observations rather than generic encouragement.
Progress tracking
Each module maps to a concrete skill. You can see what you've covered and what's left — no ambiguity about whether you're moving forward.
The gap
Most people who study data science can describe an algorithm. Fewer can pick the right one for a messy real-world dataset, tune it under time pressure, and explain the result to someone who doesn't write code.
That gap is what the program is built around — not filling you with information, but putting you in situations where the decisions are yours to make.
Cumulative skill coverage across program modules — based on completed cohort data.
The cohort model means you're not going through this alone. You're alongside people at a similar stage, working on different problems — which turns out to be more useful than any lecture.
Spent three months trying to understand feature engineering on my own. Two sessions with the group and it clicked — someone was dealing with the exact same confusion from a different angle.
Geography felt like a barrier before this. Vinnytsia to Lviv is a long way, but the async structure meant I never felt like I was catching up to people in bigger cities.
The peer reviews were uncomfortable at first — having someone else read your code always is. But that discomfort was the most useful part of the whole program.