- Artificial Neural Networks
- Algorithms
- Responsible AI
- Data Ethics
- Generative AI
- Machine Learning Methods
- Data Integrity
- Machine Learning
- Decision Support Systems
- Artificial Intelligence
- Information Privacy
Developing Explainable AI (XAI)
Completed by Gunel Aghakishiyeva
October 13, 2024
8 hours (approximately)
Gunel Aghakishiyeva'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
