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.

12 hours

12 lessons

Certificate included

Instructor

JP Instructor

Already have an account? Sign in

This course includes:

12 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.

3 lessons

Tokenisation and Text Preprocessing

Preview

12 minutes

Preview Lesson

Bag of Words and TF-IDF

Preview

14 minutes

Preview Lesson

Word Embeddings

16 minutes

Module 2: Classical NLP Tasks

The foundational tasks that define the NLP landscape.

3 lessons

Sentiment Analysis

14 minutes

Named Entity Recognition

12 minutes

Machine Translation Before Transformers

14 minutes

Module 3: The Transformer Revolution

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

3 lessons

The Transformer Architecture

18 minutes

BERT and Encoder Models

14 minutes

GPT and Decoder Models

14 minutes

Module 4: NLP in Production

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

3 lessons

Text Classification Pipelines

12 minutes

Question Answering and Information Retrieval

14 minutes

Bias, Fairness, and Responsible NLP

12 minutes

Ready to Start Learning?

Join thousands of students mastering AI & Machine Learning with HardCoded