- Prompt Engineering
- OpenAI
- Artificial Neural Networks
- Deep Learning
- Generative Model Architectures
- Generative AI
- Natural Language Processing
- Machine Learning Methods
- Large Language Modeling
Attention Mechanisms and Transformer Models Course
Completed by Karolina Stempień
July 20, 2025
4 hours (approximately)
Karolina Stempień'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
