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: Machine Learning
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Scientific Visualization
- Category: Python Programming
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Generative Model Architectures
