Introduction to Transformer Models for NLP: Foundations

About this course

Development of natural language processing from basic concepts to modern transformer architectures: attention mechanisms, scaled dot-product and multi-headed attention; transfer learning with pre-trained models like BERT and GPT, fine-tuned in PyTorch.

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This course is designed for learners at the Beginner level who want to advance their skills in Programming. It is suitable for students, working professionals and lifelong learners looking to gain practical expertise.

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The estimated duration is 5-8 hours. Since the course is fully online, you can learn at your own pace and revisit the material as often as you need.

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