EC-Council Certified Responsible AI Governance & Ethics (CRAGE)
The Certified Responsible AI Governance & Ethics (CRAGE) certification equips professionals to design, govern, and manage AI systems responsibly using global frameworks like NIST AI RMF and ISO standards.
The Certified Responsible AI Governance & Ethics (CRAGE) certification equips professionals to design, govern, and manage AI systems responsibly using global frameworks like NIST AI RMF and ISO standards.
More Information:
- Learning Style: On Demand
- Technology: EC-Council
- Difficulty: Intermediate
- Course Duration: 40 Hours
- Course Info: Download PDF
- Certificate: See Sample
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Course Information
About This Course:
The Certified Responsible AI Governance & Ethics (CRAGE) certification from EC-Council equips professionals with the knowledge and frameworks needed to govern, manage, and oversee AI initiatives responsibly. Aligned with leading standards such as NIST AI RMF and ISO/IEC 42001, the course covers AI governance, ethics, risk management, regulatory compliance, privacy, auditing, and accountability across the AI lifecycle. Through practical governance scenarios and framework-driven learning, participants gain the skills to build trustworthy, compliant, and scalable AI programs within their organizations.
What's Included:
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One-year access to the E-courseware 
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Exam Voucher valid for one year
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One-year access to self-paced training videos
Course Objectives:
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Understand the core principles of Responsible AI, ethics, and trustworthy AI systems
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Apply major AI governance frameworks such as NIST AI RMF and ISO/IEC 42001
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Evaluate and manage AI-related risks across the AI lifecycle
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Implement AI compliance strategies aligned with global regulations (e.g., EU AI Act concepts)
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Establish policies for AI transparency, accountability, and fairness
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Assess and mitigate bias, privacy, and security risks in AI systems
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Develop organizational structures for AI governance and oversight
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Perform AI audits and assurance activities to ensure responsible deployment
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Manage third-party and vendor AI risk exposure
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Support business decision-making for ethical and compliant AI adoption
Audience:
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Program Managers
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Project Managers
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Digital Transformation Leaders
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IT Managers
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AI Strategy Leaders
Prerequisites:
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Basic understanding of IT systems and how software applications are used in organizations
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Familiarity with general cybersecurity, data privacy, or risk management concepts (recommended but not mandatory)