AI & Machine LearningIntermediateFREE

Natural Language Processing

Make machines understand and generate human language. From tokenisation and word embeddings to transformers and large language models — covering both the theory and the practical NLP pipeline used in production systems today.

2 hours

16 lessons

Certificate included

Instructor

JP Instructor

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This course includes:

2 hours of comprehensive lessons
Hands-on coding exercises and challenges
Code examples with syntax highlighting
Certificate of completion
Lifetime access to all content
Mobile-friendly, works offline

Course Curriculum

Module 1: Text as Data

Turn raw text into numerical representations that models can process.

4 lessons

Tokenisation and Text Preprocessing

Preview

6 minutes

Preview Lesson

Bag of Words and TF-IDF

Preview

5 minutes

Preview Lesson

Word Embeddings

5 minutes

Quiz: Text as Data

10 minutes

Module 2: Classical NLP Tasks

The foundational tasks that define the NLP landscape.

4 lessons

Sentiment Analysis

5 minutes

Named Entity Recognition

5 minutes

Machine Translation Before Transformers

6 minutes

Quiz: Classical NLP Tasks

10 minutes

Module 3: The Transformer Revolution

The architecture that changed everything in NLP — and far beyond.

4 lessons

The Transformer Architecture

6 minutes

BERT and Encoder Models

5 minutes

GPT and Decoder Models

6 minutes

Quiz: The Transformer Revolution

10 minutes

Module 4: NLP in Production

Real tasks, real pipelines, and the responsible use of NLP systems.

4 lessons

Text Classification Pipelines

5 minutes

Question Answering and Information Retrieval

5 minutes

Bias, Fairness, and Responsible NLP

6 minutes

Quiz: NLP in Production

10 minutes

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