Attention Mechanisms and Transformer Models Course
Completed by Simon Yee Wong
August 13, 2025
4 hours (approximately)
Simon Yee Wong's account is verified. Coursera certifies their successful completion of Attention Mechanisms and Transformer Models Course
What you will learn
Apply self-attention and multi-head attention in deep learning models
Understand transformer architecture and its key components
Explore the role of attention in powering models like GPT and BERT
Analyze real-world GenAI applications in NLP and image generation
Skills you will gain
- Category: Artificial Neural Networks
- Category: Generative Model Architectures
- Category: Recurrent Neural Networks (RNNs)
- Category: Deep Learning
- Category: Generative AI
- Category: Large Language Modeling
- Category: Natural Language Processing
- Category: Vision Transformer (ViT)
