Developing Explainable AI (XAI)
Completed by Kaung Hset Hein
April 21, 2026
8 hours (approximately)
Kaung Hset Hein'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: Artificial Neural Networks
- Category: AI literacy
- Category: Data Ethics
- Category: Machine Learning
- Category: Generative AI
- Category: Information Privacy
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Decision Intelligence
- Category: Model Evaluation
- Category: Machine Learning Methods
