Explainable Machine Learning (XAI)
Completed by Nika Koghuashvili
December 9, 2025
14 hours (approximately)
Nika Koghuashvili'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: Machine Learning
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Model Evaluation
- Category: Responsible AI
- Category: Python Programming
- Category: Generative Model Architectures
- Category: Scientific Visualization
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Artificial Intelligence
