Explainable Machine Learning (XAI)
Completed by Jimut Pal
February 25, 2026
14 hours (approximately)
Jimut Pal'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: Scientific Visualization
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Generative Model Architectures
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Responsible AI
- Category: Image Analysis
- Category: Large Language Modeling
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
