Developing Explainable AI (XAI)
Completed by Agustin Rubini
February 19, 2026
8 hours (approximately)
Agustin Rubini'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: Model Evaluation
- Category: Decision Intelligence
- Category: Generative AI
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Information Privacy
- Category: Data Ethics
- Category: Responsible AI
- Category: AI literacy
- Category: Artificial Intelligence
