Responsible AI for Everyone
Completed by Wes Turpin
August 14, 2026
7 hours (approximately)
Wes Turpin's account is verified. Coursera certifies their successful completion of Responsible AI for Everyone
What you will learn
Explain Responsible AI concepts, including fairness, transparency, accountability, and oversight.
Analyze AI risks, harms, and feedback loops across real-world AI systems.
Evaluate algorithmic bias and fairness trade-offs using practical auditing techniques.
Apply transparency and explainability practices using model cards and AI documentation.
Skills you will gain
- Category: Pandas (Python Package)
- Category: Risk Management
- Category: Risk Analysis
- Category: Data Governance
- Category: Accountability
- Category: Governance
- Category: Decision Making
- Category: Auditing
- Category: Risk Mitigation
- Category: Compliance Auditing
- Category: Artificial Intelligence
- Category: Governance Risk Management and Compliance
