CoursesNLP Basics
IntermediateNLP
NLP Basics
How machines read.
6h6 lessons8,120 students4.82
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6
Lessons
Intermediate
Level
Overview
Tokenisation, embeddings, NER.
What you will learn
What NLP covers
NLU vs NLG
Common NLP tasks
Why text must be tokenised
Sub-word tokenisation (BPE)
How tokens affect cost and limits
What embeddings represent
How similarity is measured
Curriculum
Course content
1
What is NLP?
How machines process human language — understanding vs generation.
6 min
2
Tokenisation
Breaking text into the pieces a model actually processes.
7 min
3
Word Embeddings
Turning words into vectors that capture meaning.
8 min
4
Text Classification
Sorting text into categories — the most common NLP task.
8 min
5
Named Entity Recognition
Pulling structured facts (names, dates, places) out of text.
7 min
6
Modern NLP: Small Models vs LLMs
Choosing the right tool for cost, speed, and complexity.
8 min