Explainable Machine Learning (XAI)
Completed by Rayen Ameur
August 20, 2025
14 hours (approximately)
Rayen Ameur'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: Machine Learning
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Scientific Visualization
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Responsible AI