- Responsible AI
- Applied Machine Learning
- Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Data-Driven Decision-Making
- Data Ethics
Responsible AI for Developers: Interpretability & Transparency
Completed by Philip Kohler
February 28, 2025
3 hours (approximately)
Philip Kohler's account is verified. Coursera certifies their successful completion of Responsible AI for Developers: Interpretability & Transparency
What you will learn
Define interpretability and transparency as it relates to AI
Describe the importance of interpretability and transparency in AI
Explore the tools and techniques used to achieve interpretability and transparency in AI
Skills you will gain
