Explainable Machine Learning (XAI)
Completed by Shreya Jariwala
November 29, 2025
14 hours (approximately)
Shreya Jariwala'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 AI
- Category: Python Programming
- Category: Large Language Modeling
- Category: Applied Machine Learning
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Scientific Visualization
- Category: Generative Model Architectures
- Category: Artificial Neural Networks
