💬
Intermediate5 weeks
Natural Language Processing
Master text processing, language models, and NLP applications
14 chapters
1 free chapters
4.9 rating
Course Curriculum
🔒 Full Course (13 chapters)
02
Word Embeddings
Representing words as vectors
40 min
03
Language Models
How GPT and Claude work
45 min
04
Sequence Labeling
NER and POS tagging
35 min
05
Text Classification
Sentiment and categorization
40 min
06
Machine Translation
Building translators
45 min
07
Question Answering
Building QA systems
40 min
08
Text Generation
Creating content with AI
45 min
09
Dialogue Systems
Building chatbots
50 min
10
Information Retrieval
Search and ranking
40 min
11
Document Understanding
Processing documents
35 min
12
NLP at Scale
Production NLP systems
45 min
13
Multilingual NLP
Cross-language AI
40 min
14
Production NLP Engineering
Deploying NLP models
50 min
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What You'll Learn
Text Processing & Tokenization
Word Embeddings
Language Models
Sequence Labeling
Text Classification
Machine Translation
Question Answering
Text Generation
+ 6 more chapters
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