Explainable Machine Learning (XAI)
Completed by Eloi Marc Joseph SEIDLITZ
December 5, 2025
14 hours (approximately)
Eloi Marc Joseph SEIDLITZ'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: Deep Learning
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Scientific Visualization
- Category: Large Language Modeling
- Category: Model Evaluation
- Category: Data Ethics
- Category: Responsible AI
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Generative AI
