Developing Explainable AI (XAI)
Completed by Robin Winkle
February 6, 2026
8 hours (approximately)
Robin Winkle's account is verified. Coursera certifies their successful completion of Developing Explainable AI (XAI)
What you will learn
Define key Explainable AI terminology and their relationships to each other
Describe commonly used interpretable and explainable approaches and their trade-offs
Evaluate considerations for developing XAI systems, including XAI evaluation approach, robustness, privacy, and integration with decision-making
Skills you will gain
- Category: Responsible AI
- Category: Model Evaluation
- Category: Decision Intelligence
- Category: Artificial Intelligence
- Category: Machine Learning Methods
- Category: Information Privacy
- Category: Data Ethics
- Category: Artificial Neural Networks
- Category: Generative AI
- Category: AI literacy
- Category: Machine Learning
