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