NLP Course Index – Dataplexa

NLP Course Index

Complete NLP roadmap — text processing, vectorization, classic NLP models, RNNs, attention, transformers, BERT, GPT, embeddings, RAG, and modern LLM techniques.

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I. NLP Foundations (15 Lessons)

1. Intro to NLP 2. NLP vs ML vs DL 3. Text Processing 4. Tokenization 5. Regex 6. Stopwords 7. Stemming 8. Lemmatization 9. Bag of Words 10. TF–IDF 11. N-grams 12. Cleaning 13. POS Tagging 14. NER Basics 15. SpaCy Intro

II. Vectorization & Classic NLP Models (15 Lessons)

16. One-Hot Encoding 17. Word Embeddings 18. Word2Vec 19. GloVe 20. FastText 21. Text Classification 22. Naive Bayes 23. Logistic Regression 24. SVM for Text 25. Sentiment Analysis 26. Topic Modeling 27. LDA 28. Text Similarity 29. Cosine Similarity 30. Document Clustering

III. Deep Learning for NLP (15 Lessons)

31. RNNs Intro 32. RNNs for NLP 33. LSTMs for NLP 34. GRUs for NLP 35. Bidirectional RNNs 36. Seq2Seq 37. Encoder–Decoder 38. Attention 39. Bahdanau Attention 40. Luong Attention 41. Machine Translation 42. Summarization 43. QA Basics 44. NER (DL Models) 45. Build NLP Model

IV. Transformers, BERT, GPT & Modern NLP (15 Lessons)

46. Transformers Intro 47. Self-Attention 48. Positional Encoding 49. Transformer Architecture 50. BERT Overview 51. BERT Tokenization 52. Fine-Tune BERT 53. Sentence Embeddings 54. GPT Overview 55. Prompting Basics 56. Zero/Few Shot 57. LLMs 58. Chatbots 59. RAG 60. Applications