Intermediate
NLP and Language Modeling
Dive into natural language processing, learning about embeddings, language models, and how to work with text data effectively. Prepare for understanding LLMs.
Introduction
Dive into natural language processing, learning about embeddings, language models, and how to work with text data effectively. Prepare for understanding LLMs.
4 Lessons
28h Est. Time
4 Objectives
1 Assessment
By completing this module you will be able to:
✓ Master word embeddings and contextual representations
✓ Understand language model training and next-token prediction
✓ Implement sequence-to-sequence models
✓ Work with tokenization and preprocessing for NLP
Lessons
Work through each lesson in order. Each one builds on the concepts from the previous lesson.
1
Text Processing and Tokenization
2
Text Classification and Sentiment Analysis
3
Named Entity Recognition and Information Extraction
4
Text Generation and Summarization
Recommended Reading
Supplement your learning with these selected chapters from the course library.
Mastering NLP from Foundations to LLMs
Chapters 1-4
Transformers for NLP and Computer Vision 3e
Chapters 7-10
Module Assessment
NLP and Language Modeling
Question 1 of 3