Courses for your goal

When and how to fine-tune models for your tasks and data.

Semantic search: embeddings, indexes and vector stores.

Recognition, detection and segmentation of images in practice.

How machines understand text: tokens, embeddings, NLP tasks.

Run open models locally: privacy, cost and setup.