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: Artificial Neural Networks
- Category: Deep Learning
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Python Programming
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Generative AI
