Explainable Machine Learning (XAI)
Completed by Rajas Atul Chitale
September 26, 2026
14 hours (approximately)
Rajas Atul Chitale'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: Artificial Neural Networks
- Category: Artificial Intelligence
- Category: Scientific Visualization
- Category: Image Analysis
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Deep Learning
- Category: Responsible AI
- Category: Generative AI
- Category: Model Evaluation
- Category: Large Language Modeling
- Category: Generative Model Architectures
