Explainable Machine Learning (XAI)
Completed by Saurav Nagendra
May 22, 2026
14 hours (approximately)
Saurav Nagendra'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: Responsible AI
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Generative AI
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Generative Model Architectures
- Category: Plot (Graphics)
- Category: Image Analysis
