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