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: Scientific Visualization
- Category: Deep Learning
- Category: Data Ethics
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Image Analysis
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Large Language Modeling
- Category: Responsible AI
- Category: Machine Learning
