Every course, every module, every challenge at DataWorkshop Academy comes from our lab — from models we actually run in production. 10 years of ML experience distilled into curriculum that works in the real world.
Our graduates work at
New flagship courses — 2025
Our current focus reflects what we're running in production: LLMs and Agentic AI. These aren't trend courses — they're battle-tested knowledge from our lab.
RAG systems, fine-tuning, evaluation, cost control, monitoring. Everything you need to ship an LLM-powered product that doesn't break in real conditions.
Design and build AI agents that don't just answer questions — they act. Multi-agent orchestration, tool use, human-in-the-loop, failure handling.
Full curriculum
Start wherever makes sense for you. Each course is standalone — but they're designed to build on each other if you follow the path.
Master Python in the context of data work. Pandas, NumPy, Jupyter — the exact toolkit you'll use in every subsequent course and on the job.
Our original flagship — 10 years of refinement. Covers the complete ML workflow: data preparation, model training, evaluation, production. The course that sent graduates to Google, IBM, Nokia, Allegro, and Ryanair.
From classical text processing to BERT and modern transformer models. The bridge between classical ML and the world of LLMs — understanding this makes the LLM course land much harder.
The course we built after running 7 LLM experiments simultaneously in production. Not what ChatGPT can do — what it takes to ship a reliable LLM product at scale.
AI agents that act, not just respond. Built from 5 parallel experiments in our lab. You'll build and deploy a working multi-agent business automation system by the end.
Why DataWorkshop Academy
Every module is grounded in experiments we've run in production. We teach what actually works — not what sounds good in a conference talk.
You log in, open Jupyter, and start working immediately. No installation. Real datasets, real models, real challenges. You build during the course — not after.
Our courses reflect what our lab is doing now. When a new approach wins in production, it enters the curriculum. Other courses teach what worked last year.
Every course includes access to a dedicated Slack space with other practitioners — and with Vladimir. Questions answered by someone who's shipped this stuff.
Every course can be run as a private in-house workshop for your team — customized to your domain, your stack, your data. The knowledge stays in your company.
Our DS & ML course has been running since 2014. 3000+ graduates later, we know exactly what confuses people and what makes it click. That's hard to replicate.
What graduates say
"Only here did I build models entirely from start to finish and got the confidence that I can really do it. This course cannot be compared to any textbook or Coursera course."
"Although I'm a telecom engineer and not a programmer, after DataWorkshop I managed to successfully implement several ML models at work. I recommend to anyone who wants to learn ML quickly."
"The knowledge stays in memory for a long time. Participants leave with knowledge, materials and skills to start their own project. The most practical ML course I've taken."
Frequently asked
// CHOOSE YOUR PATH
Whether you're picking up Python for the first time or ready to ship an LLM to production — there's a course built from real experience waiting for you.