Explainable Machine Learning (XAI)
Completed by MUDAHERA RICHARD DUSHIME
August 18, 2026
14 hours (approximately)
MUDAHERA RICHARD DUSHIME'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: Applied Machine Learning
- Category: Machine Learning
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Model Evaluation
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Image Analysis
