Natural Language Processing with Transformers
Build modern NLP applications using transformer models like BERT and GPT.
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What You'll Learn
Requirements
- No prior experience required — suitable for intermediate level learners
- A computer or laptop with internet access
- Willingness to learn and practise the concepts covered
Description
Learn how transformer-based models process language, and how to fine-tune them for your own NLP tasks.
From tokenization to fine-tuning pretrained transformers, this course covers the modern NLP toolkit end to end.
You will build text classification, summarisation, and question-answering pipelines using the Hugging Face ecosystem.
Frequently Asked Questions
Do I need a GPU?
A free-tier cloud notebook (like Google Colab) is enough for all exercises.
What will I be able to build?
Text classifiers, summarisers, and simple chatbots using transformer models.
Your Instructor
Student Reviews
Very well explained and paced nicely. A couple of sections felt slightly rushed but overall excellent value.
Good introduction to the topic. Some prior knowledge would help you get more out of the advanced sections.
Exceeded my expectations — I went from knowing nothing to confidently applying these skills at work within weeks.
Very well explained and paced nicely. A couple of sections felt slightly rushed but overall excellent value.
One of the best courses I've taken on this platform. Well structured, practical, and genuinely engaging.
Exceeded my expectations — I went from knowing nothing to confidently applying these skills at work within weeks.
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