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: Generative Model Architectures
- Category: Deep Learning
- Category: Natural Language Processing
- Category: Model Training
- Category: Recurrent Neural Networks (RNNs)
- Category: Fine-tuning
- Category: Large Language Modeling
- Category: Computer Vision
- Category: Transfer Learning
- Category: Generative AI
- Category: Artificial Neural Networks
