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Why this course?

Understand Text

Process and analyse human language at scale.

Modern NLP

Word embeddings and transformer models.

Real Applications

Sentiment, classification, search and more.

Program Overview

Natural Language Processing (NLP) teaches machines to work with human language. Using Python, you'll learn text preprocessing, classic NLP techniques, word embeddings, and modern transformer models — building real applications like sentiment analysis, text classification and semantic search, the technology behind chatbots, translation and search engines.

Course Highlights:
  • Text Preprocessing: Tokenisation, cleaning and representation.
  • Embeddings: Turn words into meaning machines can use.
  • Transformers: The architecture behind modern language AI.
  • Real NLP Apps: Sentiment, classification and search.
Prerequisites

Python & ML! Solid Python and machine-learning basics are recommended. This is an advanced, hands-on course.

Edmire Certified

Earn the "NLP Specialist" badge upon completing all modules and the hands-on final assessment.

Verifiable Credential

Tools & Libraries You'll Master

Python
NLTK / spaCy
Hugging Face
Transformers
Embeddings
TensorFlow

Course Curriculum

5 Modules
Module 01
Text Preprocessing & Representation

Tokenisation, cleaning and turning text into features.

6 Hours
Module 02
Classic NLP Techniques

Bag-of-words, TF-IDF and text classification.

6 Hours
Module 03
Word Embeddings

Word2Vec, GloVe and semantic meaning.

7 Hours
Module 04
Transformers & Modern NLP

Attention, BERT and pretrained models.

8 Hours
Module 05
NLP Applications & Capstone

Build a real NLP app end to end.

5 Hours

Where This Can Take You

NLP Engineer

Build systems that understand language.

AI Engineer

Work on chatbots, search and language AI.

Data Scientist

Add text analytics to your toolkit.

AI Researcher

A foundation for language-model research.

Frequently Asked Questions

Q: What experience do I need?

Solid Python and machine-learning basics are recommended, since NLP builds on both. Our ML Fundamentals course is a good prerequisite.

A laptop; we use free tools — Python, NLTK/spaCy, scikit-learn and Hugging Face on Google Colab. Set-up help is provided.

To receive the Edmire NLP Specialist Certificate, complete all 5 modules and the capstone — a working NLP application. Resubmission is free if needed.

Yes — you'll learn transformers and pretrained models that underpin modern LLMs. For prompt-focused use of LLMs, pair this with our Generative AI and Prompt Engineering courses.

Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.

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