- Machine Learning
- Data Ethics
- Artificial Intelligence
- Algorithms
- Machine Learning Methods
- Responsible AI
- Information Privacy
- Decision Support Systems
- Data Integrity
- Generative AI
- Artificial Neural Networks
Developing Explainable AI (XAI)
Completed by Ramkumar Sampathkumaran
May 28, 2025
8 hours (approximately)
Ramkumar Sampathkumaran'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
