Certified Responsible AI Governance & Ethics Professional (C|RAGE)

Certified Responsible AI Governance & Ethics Professional (C|RAGE) is a leadership-focused certification designed to help professionals ensure AI systems are trustworthy, compliant, and accountable across their lifecycle. The program equips learners with governance frameworks, ethical practices, regulatory alignment, and auditing capabilities required to operationalize responsible AI programs and maintain enterprise trust.

Module 01: AI Foundations and Technology Ecosystem

• Understand AI principles, evolution, and components

• Apply AI lifecycle, MLOps, and DataOps

• Understand AI infrastructure and deployment models

Module 02: AI Concerns, Ethical Principles, and Responsible AI

• Understand ethical and privacy concerns in AI

• Learn global AI ethics standards

• Apply responsible AI practices and governance integration

Module 03: AI Strategy and Planning

• Set AI vision and readiness

• Build AI roadmap and prioritize use cases

• Manage scaling and performance

Module 04: AI Governance and Frameworks

• Understand governance models and policies

• Apply global governance frameworks

• Manage documentation and oversight

Module 05: AI Regulatory Compliance

• Understand global AI regulations

• Implement compliance monitoring

• Manage audit readiness

Module 06: AI Risk and Threat Management

• Identify AI risks and adversarial threats

• Apply risk assessment frameworks

• Conduct threat modeling

Module 07: Third-party AI Risk Management and Supply Chain Security

• Conduct vendor due diligence

• Apply supply chain risk governance

• Implement continuous monitoring

Module 08: AI Security Architecture and Controls

• Apply secure AI design patterns

• Implement deployment controls

• Apply runtime monitoring

Module 09: Building Privacy, Trust, and Safety in AI Systems

• Apply privacy-enhancing technologies

• Implement transparency and fairness

• Monitor trust mechanisms

Module 10: AI Incident Response and Business Continuity

• Detect and respond to AI incidents

• Develop recovery strategies

• Apply readiness improvement

Module 11: AI Assurance, Testing, and Auditing

• Apply AI testing and validation strategies

• Conduct auditing and evidence management

• Implement reporting and assurance practices

• AI Governance & Compliance Professionals

• Risk Managers & AI Risk Officers

• AI Auditors & Internal Audit Teams

• Data Protection & Privacy Officers

• AI Program & Transformation Leaders

• Policy Makers & Regulatory Professionals

• Security Architects & AI Security Leaders