Natural Language Processing (NLP)
Master modern natural language processing: tokenization, embeddings, language models, RNN/LSTM, Transformers, BERT, LLMs and RLHF. Based on the reference textbook by Jurafsky & Martin (Stanford).
Course Content
NLP Complete Guide - PDF
The Stanford NLP reference manual. Covers everything from tokenization to LLMs.
What you get
- 600+ pages updated 2025
- LLMs and RLHF chapters
- Per-chapter exercises
- Official Stanford reference
- Code and datasets
Free course vs PDF
Course details
- Chapters 8
- Lessons 8
- Level Intermediate
- Quiz Included
Each lesson includes a quiz to test your knowledge as you progress.
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