● Foundations of Natural Language Processing (NLP)
● Text preprocessing & linguistic concepts
● Feature extraction techniques (BoW, TF-IDF, embeddings)
● Recurrent Neural Networks (RNN)
● Long Short-Term Memory (LSTM)
● Sequence modeling & language modeling
● Attention mechanism fundamentals
● Transformer architecture
● Pretrained transformer models
● Text classification & sentiment analysis
● Named Entity Recognition (NER)
● Text summarization & question answering
● Ethical issues & bias in language models
● End-to-end NLP project support