Explainable Machine Learning (XAI)
Completed by Leszek Rumak
February 7, 2026
14 hours (approximately)
Leszek Rumak'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: Responsible AI
- Category: Artificial Intelligence
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Image Analysis
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Generative AI
- Category: Generative Model Architectures
- Category: Scientific Visualization
