An end-to-end path from reading and cleaning data to building machine learning models, deep learning and modern AI applications (LLMs, embeddings, RAG). Every topic is covered hands-on with real datasets.
Program modules
- Scientific Python · 15 hours
- Data analysis & statistics · 15 hours
- Machine learning · 21 hours
- Unsupervised learning & interpretation · 21 hours
- Deep learning · 18 hours
- Modern AI & deployment · 18 hours
Projects you will build
- Customer churn prediction model
- Image classification (CNN, transfer learning)
- RAG assistant over your own documents + FastAPI service
Who is it for?
- Aspiring data scientists / data analysts
- Professionals who work with data and want to automate
- Anyone who wants to contribute technically to AI projects
This is a paid program and fees are collected at final registration. Why pre-register? A class only opens once it reaches at least 12 participants; pre-registration tells us when that happens, and nothing is charged at this stage.