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CRAGE - Certified Responsible AI Governance & Ethics

Certified Responsible AI Governance & Ethics (CRAGE) Course is built to prepare professionals to govern AI systems responsibly across their life cycle: from policy and oversight to controls, compliance, and assurance.

The Certified Responsible AI Governance and Ethics Professional (CRAGE) Course is designed to prepare learners for 612-51 exam. This course equips professionals with the practical skills needed to establish governance structures, roles, and decision authority, applying ethical principles in operational, enforceable ways, managing regulatory obligations and audit readiness , & Assess AI risks and enforce accountability across design, deployment, and operation.

Participants will learn how to lead AI governance across cross functional teams and develop the skills to build regulatory compliant AI programs. They will gain hands on experience executing AI testing, validation, and auditing, develop expertise in AI risk assessment and third party AI risk management, and demonstrate the ability to define enterprise AI strategy and accountability.

By the end of the course, learners will be well-prepared to execute concrete governance artifacts, including AI governance charters, Risk registers aligned to NIST AI RMF, Model accountability maps and Audit evidence templates. These deliverables directly support audit readiness, regulatory review, and executive level oversight across the AI lifecycle.

This course includes an exam voucher.

GK# 840114 Vendor# CRAGE
Vendor Credits:
  • Global Knowledge Delivered Course
  • Training Exclusives
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Who Should Attend?

This course is ideal for professionals who must ensure AI is ethical, compliant, secure, and accountable:

  • 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
  • Data Protection Officer (DPO)
  • Internal Audit Manager (Technology/IT)
  • Technology Audit Manager
  • Director, Internal Audit

What You'll Learn

By the end of this course, you should be able to:

  • Build and implement enterprise AI governance frameworks.
  • Identify, measure, and mitigate AI-specific risks across the life cycle.
  • Put ethical, fair, transparent, and accountable practices into operations
  • Map AI programs to NIST AI RMF, ISO/ IEC 42001, and applicable regulations.
  • Coordinate governance across technical, legal, privacy, security, and risk teams.

Course Outline
  • Module 01: AI Foundations and Technology Ecosystem
  • Module 02: AI Concerns, Ethical Principles, and Responsible AI
  • Module 03: AI Strategy and Planning
  • Module 04: AI Governance and Frameworks
  • Module 05: AI Regulatory Compliance
  • Module 06: AI Risk and Threat Management
  • Module 07: Third-Party AI Risk Management and Supply Chain Security
  • Module 08: AI Security Architecture and Controls
  • Module 09: Building Privacy, Trust, and Safety in AI Systems
  • Module 10: AI Incident Response and Business Continuity
  • Module 11: AI Assurance, Testing, and Auditing
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Prerequisites

Related Certifications

Certified Responsible AI Governance & Ethics (CRAGE) is EC-Council’s professional certification certifies professionals who can stand behind AI decisions. The certification equips leaders with skills for end-to-end AI governance, from policy design to audit readiness.

  • Certified Responsible AI Governance and Ethics Professional (CRAGE)

Follow-On Courses

Learners can progress to EC‑Council’s Certified AI Program Manager (CAIPM), or Certified Offensive AI Security Professional (COASP) depending on career goals.