Explainable Machine Learning (XAI)
Completed by CHARAN SH GOWDA
October 13, 2025
14 hours (approximately)
CHARAN SH GOWDA'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 Methods
- Category: Deep Learning
- Category: Image Analysis
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Model Evaluation
- Category: Generative Model Architectures
