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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
30 min
2
Text Preprocessing
Tokenization, stemming, lemmatization
45 min
3
Bag of Words & TF-IDF
Classical text representations
40 min
4
Word Embeddings
Word2Vec, GloVe, FastText
55 min
5
Sequence Models for NLP
RNNs and LSTMs for text
60 min
6
Attention Mechanisms
The key to modern NLP
70 min
7
Transformer Architecture
Attention is all you need
90 min
8
BERT Deep Dive
Bidirectional encoders
80 min
9
GPT Architecture
Autoregressive language models
85 min
10
Text Classification
Sentiment, topics, intent
50 min
11
Named Entity Recognition
Extracting entities from text
45 min
12
Question Answering
Building QA systems
60 min
13
Text Generation
Creative text with LLMs
70 min
14
Summarization
Extractive and abstractive
55 min
15
Machine Translation
Neural machine translation
65 min
16
Fine-tuning LLMs
Adapting models to tasks
90 min
17
Prompt Engineering
Getting the best from LLMs
60 min
18
RAG Systems
Retrieval-augmented generation
75 min
19
LLM Evaluation
Metrics and benchmarks
50 min
20
Responsible AI in NLP
Bias, safety, and ethics
45 min
21
Production NLP Systems
Scaling and deployment
70 min
22
Capstone: Build a Chatbot
End-to-end NLP project
120 min