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: Generative AI
- Category: Deep Learning
- Category: Image Analysis
- Category: Artificial Neural Networks
- Category: Generative Model Architectures
- Category: Large Language Modeling
- Category: Scientific Visualization
- Category: Model Evaluation
- Category: Responsible AI
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Python Programming
