Explainable Machine Learning (XAI)
Completed by WONG DAN CHI
September 19, 2026
14 hours (approximately)
WONG DAN CHI 's account is verified. Coursera certifies their successful completion of Explainable Machine Learning (XAI)
What you will learn
Explain and implement model-agnostic explainability methods.
Visualize and explain neural network models using SOTA techniques.
Describe emerging approaches to explainability in large language models (LLMs) and generative computer vision.
Skills you will gain
- Category: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Scientific Visualization
- Category: Applied Machine Learning
- Category: Image Analysis
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Generative Model Architectures
- Category: Model Evaluation
- Category: Generative AI
