Explainable Machine Learning (XAI)
Completed by Jinho Kim
June 6, 2025
14 hours (approximately)
Jinho Kim'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: Scientific Visualization
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Image Analysis
- Category: Model Evaluation
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Generative Model Architectures
- Category: Applied Machine Learning
