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: Machine Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Artificial Intelligence
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Image Analysis
- Category: Responsible AI
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Generative AI
