Foundations of AI Governance and Responsible Development
Completed by Mathieu BRIVAL--CALIXTE
July 13, 2026
3 hours (approximately)
Mathieu BRIVAL--CALIXTE's account is verified. Coursera certifies their successful completion of Foundations of AI Governance and Responsible Development
What you will learn
Design AI lifecycle governance with checkpoints, roles, and audit-ready workflows.
Apply explainability methods (SHAP, LIME) to ensure transparent, compliant AI decisions.
Build traceable documentation, versioning systems, and audit-ready AI reports.
Skills you will gain
- Category: Model Deployment
- Category: Risk Management
- Category: Data Governance
- Category: Report Writing
- Category: Responsible AI
- Category: Auditing
- Category: Regulatory Compliance
- Category: Risk Management Framework
- Category: Accountability
- Category: Internal Auditing
- Category: Accountability Frameworks
- Category: MLOps (Machine Learning Operations)
