Explainable Machine Learning (XAI)
Completed by Abir Saha
June 21, 2025
14 hours (approximately)
Abir Saha'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: Generative Model Architectures
- Category: Scientific Visualization
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Image Analysis
- Category: Python Programming
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Data Ethics
- Category: Large Language Modeling
