7
Natural Language Processing
Text processing, embeddings, transformers, and modern NLP
4 lessons200 min totaladvanced
1
Text Processing & Embeddings
Learn how raw text is transformed into numerical representations that neural networks can understand — from simple bag-of-words to powerful contextual embeddings.
2 exercisesQuiz45m
2
Transformers & Attention
Understand the self-attention mechanism that powers modern NLP — from the attention formula to multi-head attention to full transformer architectures like BERT and GPT.
2 exercisesQuiz60m
3
Named Entity Recognition & Text Parsing
Extract structured information from unstructured text — identify people, organizations, locations, and relationships using spaCy and custom NER models.
2 exercisesQuiz45m
4
Text Generation & Summarization
Build systems that generate, summarize, and translate text — from seq2seq architectures to modern Hugging Face pipelines and evaluation metrics like BLEU and ROUGE.
2 exercisesQuiz50m