Introduction to Transformer Models for NLP: Unit 2
Completed by Jakub Szewczyk
March 24, 2026
8 hours (approximately)
Jakub Szewczyk's account is verified. Coursera certifies their successful completion of Introduction to Transformer Models for NLP: Unit 2
What you will learn
Master the architectures and core mechanisms of BERT and GPT for natural language understanding and generation.
Fine-tune pre-trained models for advanced NLP tasks such as classification, question answering, and semantic search.
Apply hands-on techniques to customize BERT and GPT for specific domains and writing styles.
Utilize prompt engineering and few-shot learning to solve multiple NLP tasks efficiently.
Skills you will gain
- Category: Fine-tuning
- Category: Prompt Engineering
- Category: Natural Language Processing
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Data Preprocessing
- Category: Embeddings
- Category: Model Training
- Category: Large Language Modeling
- Category: Generative AI
