This course provides a comprehensive introduction to natural language processing (NLP) using Hugging Face's libraries, including Transformers, Datasets, and Tokenizers. It covers key concepts and practical implementations, making it suitable for learners with a good knowledge of Python. The course is structured into chapters that guide you through the fundamentals of NLP, enabling you to tackle common problems and apply Transformer models to various tasks, including speech processing and computer vision.