Process and analyse human language at scale.
Word embeddings and transformer models.
Sentiment, classification, search and more.
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.
Python & ML! Solid Python and machine-learning basics are recommended. This is an advanced, hands-on course.
Earn the "NLP Specialist" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialTokenisation, cleaning and turning text into features.
Bag-of-words, TF-IDF and text classification.
Word2Vec, GloVe and semantic meaning.
Attention, BERT and pretrained models.
Build a real NLP app end to end.
Build systems that understand language.
Work on chatbots, search and language AI.
Add text analytics to your toolkit.
A foundation for language-model research.
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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