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: Large Language Modeling
- Category: Generative AI
- Category: Model Evaluation
- Category: Machine Learning
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Responsible AI
- Category: Generative Model Architectures
- Category: Scientific Visualization
- Category: Artificial Neural Networks
