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Advanced
NLP & LLMs
Master natural language processing from text preprocessing to large language models and transformers. Learn GPT architecture, fine-tuning, and prompt engineering.
30-40 hours total22 modulesCertificate included
Course Modules
1
Introduction to NLP
Language understanding fundamentals
2
Text Preprocessing
Tokenization, stemming, lemmatization
3
Bag of Words & TF-IDF
Classical text representations
4
Word Embeddings
Word2Vec, GloVe, FastText
5
Sequence Models for NLP
RNNs and LSTMs for text
6
Attention Mechanisms
The key to modern NLP
7
Transformer Architecture
Attention is all you need
8
BERT Deep Dive
Bidirectional encoders
9
GPT Architecture
Autoregressive language models
10
Text Classification
Sentiment, topics, intent
11
Named Entity Recognition
Extracting entities from text
12
Question Answering
Building QA systems
13
Text Generation
Creative text with LLMs
14
Summarization
Extractive and abstractive
15
Machine Translation
Neural machine translation
16
Fine-tuning LLMs
Adapting models to tasks
17
Prompt Engineering
Getting the best from LLMs
18
RAG Systems
Retrieval-augmented generation
19
LLM Evaluation
Metrics and benchmarks
20
Responsible AI in NLP
Bias, safety, and ethics
21
Production NLP Systems
Scaling and deployment
22
Capstone: Build a Chatbot
End-to-end NLP project