Course Description
The EC-Council’s CRAGE (Certified Responsible AI Governance & Ethics) training program aims to train professionals to govern AI responsibly, integrating risk, compliance, and ethics throughout the entire AI system lifecycle. It covers the AI technology ecosystem, strategy and governance, data and model management, as well as security, auditing, and business continuity as applied to AI. The goal is to give participants the skills to align AI projects with regulatory frameworks and international best practices, while managing issues of bias, transparency, explainability, and accountability. This certification, still in beta, is based on a business task analysis and a detailed exam blueprint to closely match the actual responsibilities of AI governance and ethics experts.
C|RAGE prepares you to:
- Validate your ability to embed governance across the AI life cycle
- Verify skills in building audit-ready programs from ideation to deployment
- Prove you can help enterprises scale AI with accountability
The C|RAGE certification equips you to lead AI governance end-to-end, from policy design to audit readiness. Master compliance frameworks, risk management, and ethical oversight.
Who Should Attend
- Head of Governance, Risk & Compliance (GRC)
- GRC Manager
- Director, Risk Management
- Risk Manager
- Head of Enterprise Risk Management (ERM)
- Operational Risk Manager
- Director, Compliance
- Compliance Manager
- Director, Regulatory Affairs
- Regulatory Compliance Manager
- Chief Privacy Officer
- Director of Privacy
- Privacy Program Manager
- Data Protection Officer (DPO)
- Data Governance Manager
- Director, Data Governance
- Internal Audit Manager (Technology/IT)
- Technology Audit Manager
- Director, Internal Audit
CRAGE Course – Certified Responsible AI Governance and Ethics
- Module 1: AI Foundations and Technology Ecosystem
- Module 2: AI Concerns, Ethical Principles, and Responsible AI
- Module 3: AI Strategy and Planning
- Module 4: AI Governance and Frameworks
- Module 5: AI Regulatory Compliance
- Module 6: AI Risk and Threat Management
- Module 7: Third-party AI Risk Management and Supply Chain Security
- Module 8: AI Security Architecture and Controls
- Module 9: Building Privacy, Trust, and Safety in AI Systems
- Module 10: AI Assurance, Testing, and Auditing