Explainable Machine Learning (XAI)
Completed by Injamamul Haque Alve
December 28, 2025
14 hours (approximately)
Injamamul Haque Alve'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: Python Programming
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Applied Machine Learning
- Category: Machine Learning
