Foundations of Transformer Architectures for Natural Language Processing
Completed by Rafał Marek Araszkiewicz
September 3, 2026
5 hours (approximately)
Rafał Marek Araszkiewicz's account is verified. Coursera certifies their successful completion of Foundations of Transformer Architectures for Natural Language Processing
What you will learn
Understand and compare major transformer models like BERT, GPT, and ViT
Fine-tune and pretrain large language models for specific tasks
Implement retrieval augmented generation to improve model reliability
Skills you will gain
- Category: Model Training
- Category: Fine-tuning
- Category: Natural Language Processing
- Category: Embeddings
- Category: Model Evaluation
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Architectural Engineering
- Category: Data Preprocessing
- Category: Hugging Face
- Category: Generative AI
- Category: Large Language Modeling
- Category: Gemini
