Explainable Machine Learning (XAI)
Completed by Lacy Burrhus
September 22, 2026
14 hours (approximately)
Lacy Burrhus'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: Deep Learning
- Category: Artificial Neural Networks
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Image Analysis
- Category: Machine Learning
- Category: Large Language Modeling
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Scientific Visualization
- Category: Responsible AI
- Category: Data Ethics
