Data Science
A structured program covering Python fundamentals, data wrangling with pandas, and visualization techniques used by working analysts.
Machine Learning
A practical introduction to supervised and unsupervised learning, model evaluation, and deploying basic ML pipelines with scikit-learn.
Deep Learning
Hands-on training in building, training, and debugging neural networks using PyTorch, with projects in image classification and text processing.
Data Engineering
A technical program on designing, building, and maintaining data pipelines using SQL, Airflow, and cloud storage — aimed at analysts ready to move into engineering roles.
AI Product
A program for product managers and team leads on how to scope, prioritize, and ship AI features — without needing to write the models yourself.
Four straightforward steps take you from browsing to working on real AI projects. No complicated onboarding, no waiting lists that go nowhere.
Each step is designed to keep things moving — you pick the pace, the instructor keeps the direction.
Browse the catalog above and find the program that fits your current level — whether you know Python already or are starting with data concepts for the first time.
Groups close when they reach capacity. Click through to the program page, review the syllabus, and confirm enrollment before the remaining spots are taken.
Join instructor-led sessions online from anywhere in Ukraine. Ask questions in real time, work through exercises with the group, and get direct feedback.
Each program closes with a practical project — a scenario drawn from actual industry work in AI or data science that you build and submit for review.
Each program specifies its entry level on the detail page. Some start from scratch, others assume familiarity with Python or basic statistics — check before enrolling.
Yes, recordings are available to enrolled participants within 24 hours of each live session. Missing a class doesn't mean falling behind permanently.
Groups are kept deliberately small — typically 12 to 18 participants — so instructors can give individual feedback rather than lecturing at a crowd.
Graduates get access to a private alumni channel where Drimlask instructors share updates, job postings, and research notes from the AI and data science field.
