Introduction to Transformer Models for NLP: Unit 1
Completed by Jakub Szewczyk
March 17, 2026
3 hours (approximately)
Jakub Szewczyk's account is verified. Coursera certifies their successful completion of Introduction to Transformer Models for NLP: Unit 1
What you will learn
Understand the evolution of NLP architectures and the transformative impact of attention mechanisms.
Analyze the structure and mathematical foundations of transformer models, including scaled dot product and multi-headed attention.
Apply transfer learning techniques using pre-trained language models such as BERT and GPT.
Gain practical experience with PyTorch to fine-tune NLP models for custom tasks.
Skills you will gain
- Category: Fine-tuning
- Category: Generative Model Architectures
- Category: Natural Language Processing
- Category: Large Language Modeling
- Category: PyTorch (Machine Learning Library)
- Category: Transfer Learning
- Category: LLM Application
