Explainable Machine Learning (XAI)
Completed by Pavel N. Zolotarev
January 5, 2026
14 hours (approximately)
Pavel N. Zolotarev'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: Scientific Visualization
- Category: Deep Learning
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Generative AI
- Category: Model Evaluation
- Category: Data Ethics
- Category: Artificial Neural Networks
- Category: Artificial Intelligence
- Category: Applied Machine Learning
