Natural Language Processing
Text preprocessing, representation, sequence models, NLP tasks, information extraction, and multilingual NLP.
Start Module 01Curriculum
A structured path through the course content.
Foundations of Language
Linguistics, morphology, syntax, and language structure.
Text Preprocessing
Tokenization, normalization, stemming, and text cleaning.
Text Representation
Bag of words, TF-IDF, word embeddings, and contextual representations.
Sequence Models
RNNs, LSTMs, GRUs, and sequence-to-sequence models.
Core NLP Tasks: Analysis
POS tagging, NER, parsing, and text classification.
Core NLP Tasks: Generation
Summarization, translation, and text generation.
Information Extraction & Retrieval
Relation extraction, question answering, and search.
Semantic Understanding
Sentiment analysis, semantic similarity, and textual entailment.
Pre-trained Models for NLP
BERT, GPT, T5, and transfer learning for NLP.
Multilingual & Low-Resource NLP
Cross-lingual transfer, multilingual models, and low-resource methods.
Speech & Multimodal NLP
Speech recognition, synthesis, and multimodal language processing.
Evaluation & Ethics
NLP evaluation metrics, bias, fairness, and ethical considerations.