🧠 Natural Language Processing

COM494 - Spring Semester 2025

📚 About the Course

This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers, and 🤗 Accelerate — as well as the Hugging Face Hub. It’s completely free and without ads.

📋 Course Content and Objectives

What to expect?

Here is a brief overview of the course:

👨‍💻 Programming Language and Libraries

This course:

• Requires a good knowledge of Python
• Is better taken after an introductory deep learning course, such as fast.ai’s Practical Deep Learning for Coders or one of the programs developed by DeepLearning.AI
• Does not expect prior PyTorch or TensorFlow knowledge, though some familiarity with either of those will help

After you’ve completed this course, we recommend checking out DeepLearning.AI’s Natural Language Processing Specialization, which covers a wide range of traditional NLP models like naive Bayes and LSTMs that are well worth knowing about!

📒 Course Format