Sequence Modeling, Transformers, and Transfer Learning
Completed by Rajae Yamoul
April 14, 2026
9 hours (approximately)
Rajae Yamoul's account is verified. Coursera certifies their successful completion of Sequence Modeling, Transformers, and Transfer Learning
What you will learn
Understand the fundamentals of sequence modeling using RNNs, LSTMs, and GRUs.
Master the transformer architecture and attention mechanisms for NLP tasks.
Apply transfer learning to fine-tune pre-trained models for custom tasks.
Work on hands-on projects using RNNs, transformers, and transfer learning for text generation, translation, and summarization.
Skills you will gain
- Category: Generative AI
- Category: Model Training
- Category: Fine-tuning
- Category: Artificial Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Deep Learning
- Category: Large Language Modeling
- Category: Computer Vision
- Category: Natural Language Processing
- Category: Transfer Learning
- Category: Generative Model Architectures
