Sequence Modeling, Transformers, and Transfer Learning
Completed by Kieran Kennedy
April 17, 2026
9 hours (approximately)
Kieran Kennedy'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: Computer Vision
- Category: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Generative AI
- Category: Deep Learning
- Category: Model Training
- Category: Recurrent Neural Networks (RNNs)
- Category: Natural Language Processing
- Category: Generative Model Architectures
