Sequence Modeling, Transformers, and Transfer Learning
Completed by Onkar Kahate
June 15, 2026
9 hours (approximately)
Onkar Kahate'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: Model Training
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Computer Vision
- Category: Recurrent Neural Networks (RNNs)
- Category: Fine-tuning
- Category: Generative AI
- Category: Deep Learning
- Category: Large Language Modeling
- Category: Natural Language Processing
- Category: Artificial Neural Networks
