AI Governance, Risk, and Responsible Deployment
Completed by Anggie Steefany Silva Telenta
October 18, 2026
8 hours (approximately)
Anggie Steefany Silva Telenta's account is verified. Coursera certifies their successful completion of AI Governance, Risk, and Responsible Deployment
What you will learn
Build AI governance structures and climb the "trust ladder" from approving every action toward auditing systems as they earn autonomy.
Identify and classify AI-specific risks—bias, data, operational, reputational—and manage them with a risk-register framework.
Read the AI regulatory landscape (EU AI Act, NIST AI RMF, ISO 42001) and map requirements to concrete governance decisions.
Govern agentic AI autonomy and make responsible deployment calls—ship, ship with conditions, or wait—using IBM Responsible AI principles.
Skills you will gain
- Category: Responsible AI
- Category: Compliance Management
- Category: Governance Risk Management and Compliance
- Category: AI Security
- Category: Regulatory Compliance
- Category: Law, Regulation, and Compliance
- Category: Agentic systems
- Category: Risk Control
- Category: Governance
- Category: Authorization (Computing)
- Category: Risk Management Framework
- Category: Cross-Functional Collaboration
