NLP Fundamentals: Core Concepts and Architectures

Master the essential concepts of Natural Language Processing, from text preprocessing to transformer architectures. This course provides a solid foundation in NLP theory and core techniques without diving into production complexities.

Learning Objectives

• Understand text preprocessing and tokenization fundamentals
• Learn traditional and modern word embedding approaches
• Master the transformer architecture and attention mechanisms
• Explore the evolution from RNNs to modern language models
• Implement basic text generation techniques
• Apply NLP to common tasks like classification and named entity recognition

Course Content