Responsible AI Ethics and Data Practice
Completed by Florencio Théodore, Constantino, Apollinaris de Andrade
September 13, 2026
7 hours (approximately)
Florencio Théodore, Constantino, Apollinaris de Andrade's account is verified. Coursera certifies their successful completion of Responsible AI Ethics and Data Practice
What you will learn
Apply Microsoft’s Responsible AI principles to score use-case intake forms and make proceed/mitigate/reject decisions.
Analyze model output logs for bias indicators and evaluate and justify ethical mitigation strategies.
Apply an internal data ethics checklist to approve or reject datasets and trace lineage for consent compliance.
Classify data assets with appropriate sensitivity labels and monitor quality dashboards to trigger steward workflows.
Skills you will gain
- Category: Audit Working Papers
- Category: Compliance Management
- Category: Governance Risk Management and Compliance
- Category: Data Quality
- Category: Responsible AI
- Category: Cloud Security
- Category: Decision Making
- Category: Ethical Standards And Conduct
- Category: Cybersecurity
- Category: Artificial Intelligence
- Category: Policy Development
- Category: Regulatory Compliance
