Explainable Machine Learning (XAI)
Completed by Layal Alamrani
March 21, 2025
14 hours (approximately)
Layal Alamrani'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: Artificial Neural Networks
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Generative AI
- Category: Python Programming
