Certified Responsible
AI Governance & Ethics
Be EN-RAGED by the Chaos. Lead the Mandate for Responsible AI Governance.
Enterprises need leaders who can embed governance throughout the AI lifecycle, from ideation to deployment. This credential validates your ability to operationalize governance aligned with NIST AI RMF and ISO/IEC 42001, helping enterprises scale AI with accountability.
11 Comprehensive Modules
Framework-Driven, Regulation-Aligned Curriculum
Scenario-Based Governance and Risk Analysis
Program Inquiry
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from 350,000+ trained professionals
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The AI Governance Crisis
Enterprises Need
Certified AI
Governance Professionals
AI is moving from experimentation to infrastructure. Enterprises need leaders who can embed governance throughout the AI lifecycle, from ideation to deployment, so they can scale AI with accountability and meet regulatory requirements.
When AI fails, leadership is accountable.
C|RAGE certifies professionals who can stand behind AI decisions.
- Companies deploy AI, but lack governance frameworks to manage risk
- Legal teams understand compliance, but can't translate AI technical risks
- Data scientists build models, but don't own ethics accountability
- Result: AI deployments without governance = regulatory exposure
Problem
95% of AI initiatives fail to reach production. Organizations invest millions in AI tools but lack professionals who can bridge the gap between technical execution and business impact.
Solution
THE PROBLEM
AI governance gaps expose organizations to regulatory, reputational, and operational risks. Without certified governance professionals, enterprises deploy AI without accountability.
- No verified AI governance skills in the market
- Organizations deploy AI without accountability
- Audit failures waiting to happen
C|RAGE Credential Validates
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.
- Validate your ability to embed governance across the AI lifecycle
- Verify skills in building audit-ready programs from ideation to deployment
- Prove you can help enterprises scale AI with accountability
Lead enterprise-wide AI accountability initiatives
Ensure regulatory readiness with audit-ready programs
The AI Governance Crisis
Organizations
Can't Govern
AI Responsibly
AI regulation is accelerating globally, but most organizations lack the governance expertise needed to stay compliant.
Enterprises need certified AI Governance professionals who can build ethical frameworks, ensure regulatory compliance, and manage AI risk across the organization.
Gartner predicts 75% of organizations will face AI compliance audits by 2027.1 McKinsey reports only 18% have formal AI governance in place.2
1 Gartner AI Governance Report, 2025 2 McKinsey AI Survey, 2025
- Companies deploy AI, but lack governance frameworks to manage risk
- Legal teams understand compliance, but can't translate AI technical risks
- Data scientists build models, but don't own ethics accountability
- Result: AI deployments without governance = regulatory exposure
Problem
95% of AI initiatives fail to reach production. Organizations invest millions in AI tools but lack professionals who can bridge the gap between technical execution and business impact.
Solution
What C|RAGE Validates
Verify the skills that make you the governance leader organizations need:
- This credential validates your ability to lead AI governance programs
- Verified skills in AI ethics, compliance, and risk management
- Credential proves confidence advising executives on responsible AI
- Industry-recognized proof of AI regulatory readiness
- Validation that you can bridge the governance gap organizations need
What Your Organization Gets
Solve the AI governance crisis:
- Establish AI governance before regulatory penalties arise
- Build trust with customers through responsible AI practices
- Align AI deployments with global compliance standards
- Clear accountability frameworks for AI decision-making
Lead enterprise-wide AI accountability initiatives
Ensure regulatory readiness with audit-ready programs
What Most Organizations Do:
"Let's deploy AI and figure out governance later"
Organizations with C|RAGE Certified professionals:
Govern AI with Ethics
and Responsible
practices
The AI Governance Skills Gap
ORGANIZATIONS
CAN'T GOVERN AI
Nearly 80% of organizations deploy AI without a defined governance owner or operating model*. Regulations are tightening. They need professionals with verified skills to build audit-ready programs.
This credential validates the governance skills organizations desperately need; professionals who can own AI accountability, compliance, and risk management.
*Source: McKinsey Global AI Survey
The Market Problem
Why AI Governance Fails
- Organizations deploy AI without governance ownership
- Compliance gaps with NIST AI RMF & ISO 42001 regulations
- No verified skills for AI auditing and validation
- Unclear accountability when AI systems fail
- Approaching regulatory penalties as AI rules tighten
What This Credential Validates
C|RAGE HELPS:
- You lead AI governance across teams
- You build regulatory-compliant AI programs
- You execute Al testing, validation, and auditing
- You to assess AI risks and third-party AI risks
- You define enterprise Al strategy and accountability
Organizations need verified AI governance skills. This credential proves you have them.
If your role involves AI governance, GRC, compliance, or policy, this program helps you validate those skills.
19+
Target Roles
Who is C|RAGE Ideal For
This program is designed for professionals across security, IT, and business functions who want to lead AI initiatives.
GRC & Risk Management
Compliance & Regulatory
Privacy & Data Governance
Audit
11 comprehensive modules
Program Overview
11 comprehensive modules!
Master AI governance, ethics, and compliance across the enterprise. The C|RAGE certification covers oversight, risk management, regulatory alignment, and accountability across the AI lifecycle.
AI Foundations and Technology Ecosystem
Master the foundational concepts, technologies, and operational lifecycle of artificial intelligence to understand how modern AI systems are built, deployed, and scaled responsibly.
What You'll Learn
AI Concerns, Ethical Principles, and Responsible AI
Master ethical AI principles and frameworks to ensure responsible AI development and deployment across your organization.
What You'll Learn
AI Strategy and Planning
Develop structured AI strategies and roadmaps that align organizational goals with responsible, scalable, and value-driven AI adoption.
What You'll Learn
AI Governance and Frameworks
Design and implement enterprise-wide AI governance structures that ensure accountability, transparency, compliance, and trust.
What You'll Learn
AI Regulatory Compliance
Navigate global AI regulations and compliance obligations to ensure lawful, ethical, and defensible AI deployments.
What You'll Learn
AI Risk and Threat Management
Identify, assess, and manage AI-specific risks, threats, and vulnerabilities across the AI lifecycle.
What You'll Learn
Third-Party AI Risk Management and Supply Chain Security
Manage vendor, supplier, and ecosystem risks across AI procurement, deployment, and lifecycle operations.
What You'll Learn
AI Security Architecture and Controls
Design secure-by-design AI architectures that protect models, data, pipelines, and runtime environments.
What You'll Learn
Building Privacy, Trust, and Safety in AI Systems
Embed privacy, transparency, trust, and safety into AI systems to enable ethical and user-centric AI experiences.
What You'll Learn
AI Incident Response and Business Continuity
Build AI-specific incident response, resilience, and recovery capabilities to sustain trust and business operations.
What You'll Learn
AI Assurance, Testing, and Auditing
Establish robust assurance, testing, and audit mechanisms to validate trustworthy, compliant, and reliable AI systems.
What You'll Learn
AI Governance & Ethics
Methodology
From risk assessment to policy implementation, compliance to continuous monitoring, there's a structured approach to governing AI responsibly.
This framework equips you to lead AI governance with confidence and accountability.
01 ASSESS
Identify AI risks, conduct gap analysis, and evaluate governance maturity to understand your organization's current state and compliance readiness.
02 GOVERN
Design policies, implement controls, and establish oversight mechanisms to ensure ethical AI use, regulatory compliance, and clear accountability.
03 SUSTAIN
Monitor AI systems continuously, report on governance metrics, and drive improvement to maintain trust and adapt to evolving regulations.
C|RAGE
Framework
THE GOVERNANCE GAP
WHY AI
GOVERNANCE
REQUIRES NEW FRAMEWORKS
AI regulations are tightening globally. Organizations without proper governance frameworks face regulatory penalties, audit failures, and accountability gaps.
Nearly 80% of organizations deploy AI without a defined governance owner or operating model.
The problem isn’t technology. It’s the lack of verified governance leadership.
Insufficient
Organizations cannot just rely on:
- Generic IT governance frameworks
- Standard software security controls
- Traditional compliance checklists
- Basic risk management processes
Reality Check
They must also address:
- Model bias, drift, and hallucination accountability
- Regulatory compliance with NIST AI RMF & EU AI Act
- AI auditing, assurance, and validation requirements
- AI lifecycle and portfolio management
- Cross-functional AI oversight and accountability
THE SOLUTION
Master the World’s Most Critical AI Governance Frameworks
You'll master:
This is what separates reactive compliance from proactive governance:
Become an AI Governance Authority - trusted to design, govern, audit, and sustain responsible AI at enterprise scale.
Compliance, Ethics, and Accountability AI at scale.
BUILD RESPONSIBLE AI GOVERNANCE FRAMEWORKS
GOVERN.
COMPLY.
LEAD.
One framework. Enterprise-wide AI trust.
The C|RAGE program equips you with comprehensive expertise across AI governance, risk management, and ethical oversight, from regulatory compliance to organizational accountability.
You'll learn to design, implement, and manage AI governance frameworks that ensure regulatory compliance, mitigate risks, and build stakeholder trust across the enterprise.
Ethics Framework
Bias Detection
Impact Analysis
Policy Design
Incident Response
Audit Readiness
AI Transparency Data Privacy
Risk Assessment
Compliance Audit
AI Program Management Frameworks
TOOLS &
TECHNIQUES
YOU WILL MASTER
Practical frameworks and methodologies used by leading AI program managers at Fortune 500 companies.
No roadmap for AI investment AI Strategy Frameworks
Enterprise AI roadmapping, portfolio planning, and value prioritization
Wrong use cases get funded Use Case Evaluation
ROI-driven assessment and prioritization of AI for business intelligence
Models fail in productionMLOps Principles
Model lifecycle management for scalable, production-ready AI
Compliance gaps create risk AI Governance
Risk, ethics, compliance, and responsible AI principles
Can't prove AI value KPI Development
AI metrics, success indicators, and executive dashboards
Teams resist AI adoption Change Management
Workforce enablement and stakeholder alignment
Wrong tools get selected Vendor Evaluation
AI platform and tool selection aligned with enterprise needs
AI budgets get cut Investment Justification
Quantifying AI value, ROI, and mission impact for funding decisions
Can't prove AI value KPI Development
AI metrics, success indicators, and executive dashboards
Teams resist AI adoption Change Management
Workforce enablement and stakeholder alignment
Wrong tools get selected Vendor Evaluation
AI platform and tool selection aligned with enterprise needs
AI budgets get cutAI Investment Justification
Quantifying AI value, ROI, and mission impact for funding decisions
No roadmap for AI investment AI Strategy Frameworks
Enterprise AI roadmapping, portfolio planning, and value prioritization
Wrong use cases get funded Use Case Evaluation
ROI-driven assessment and prioritization of AI initiatives
Models fail in productionMLOps Principles
Model lifecycle management for scalable, production-ready AI
Compliance gaps create risk AI Governance
Risk, ethics, compliance, and responsible AI frameworks
AI GOVERNANCE
LEADERS
EVERYWHERE
Every sector needs governance experts!
As AI regulations tighten globally, organizations need governance leaders who can ensure compliance, manage risk, and build trust. C|RAGE positions you at the center of responsible AI adoption.
Finance
AI risk management, auditing, trading governance, and fraud compliance enhance accountability.
Healthcare
Clinical AI governance, data privacy, and diagnostic accountability drive adoption.
Manufacturing
Predictive maintenance governance, quality control AI, and supply chain risk assessment improve operations.
Government
Public sector AI accountability and citizen services follow structured governance frameworks.
Technology
AI product governance, platform policies, and developer ethics fuel enterprise investment.
Disclaimer: The scenarios and impacts outlined above are based on indicative assumptions and high-level industry observations. Actual outcomes may vary by organization, regulatory context, and implementation maturity.
The solution is the same across every industry:
Trained & Certified AI Program Managers
AI Governance Hub
Policy & Compliance Center
Enterprise Ethics
Corporate AI Standards
Risk Management
AI Oversight Teams
CAREER OPPORTUNITIES
Job Roles C|RAGE Prepares You For
The C|RAGE certification opens doors to high-impact roles across AI governance, ethics, compliance, and leadership.
Executive & Leadership
- Chief AI Officer (CAIO)
- Chief Privacy Officer (CPO)/DPO
- Technology Risk or Assurance Leader
Governance & Compliance
- AI Compliance Managers/Officer
- AI Governance Lead/Professional
- Model Governance Specialist
Risk & Ethics
- AI Risk Manager
- AI Ethics Specialist
- Legal, Ethical and Policy Advisor
Assurance & Audit
- AI Auditor / AI Assurance Auditor
- AI Assurance Specialist / Lead
- Responsible AI Team Lead
Program & Lifecycle
- AI Program Director/Manager
- MLOps/AI Lifecycle Manager
- AI Security Architect
Policy & Advisory
- AI Policy Analyst / Advisor
- Director AI Governance
- Responsible AI Consultant
THE AI GOVERNANCE CRISIS
ORGANIZATIONS
CAN'T FIND
AI LEADERS
AI regulation is accelerating globally, but most organizations lack the governance expertise needed to stay compliant.
Enterprises need certified AI Governance professionals who can build ethical frameworks, ensure regulatory compliance, and manage AI risk across the organization.
Gartner predicts 75% of organizations will face AI compliance audits by 2027.1 McKinsey reports only 18% have formal AI governance in place.2
1 Gartner AI Governance Report, 2025 2 McKinsey AI Survey, 2025
The Governance Gap Organizations Face
- Companies deploy AI, but lack governance frameworks to manage risk
- Legal teams understand compliance, but can't translate AI technical risks
- Data scientists build models, but don't own ethics accountability
- Result: AI deployments without governance = regulatory exposure
What C|RAGE Validates
Verify the skills that make you the governance leader organizations need:
- Lead and oversee AI governance programs
- Navigate AI ethics, compliance, and risk management
- Advise executives on responsible AI decisions
- Assess and demonstrate AI regulatory readiness with industry-recognized credentials
- Bridge the governance gaps that organizations needs
What Your Organization Gets
Solve the AI governance crisis:
- Establish AI governance before regulatory penalties arise
- Build trust with customers through responsible AI practices
- Align AI deployments with global compliance standards
- Clear accountability frameworks for AI decision-making
AI GOVERNANCE LEADER SALARY DATA
What AI Governance Professionals Are Earning in 2026
As AI regulations intensify, governance expertise commands premium compensation. Certified AI Governance professionals who can navigate compliance are in high demand.
Source: Glassdoor, LinkedIn Salary Insights, Indeed, 2025–2026
$165K
Average Salary (US)
45K+
Open Positions
Responsible AI Specialist
$206,000
Median salary
Range: $155,000 – $279,000
Source: Glassdoor.com
Chief AI Ethics Officer
$379,500
Median salary
Range: $265,000 – $494,000
Source: Glassdoor.com
Director of AI Governance
$220,000
Median salary
Range: $190,000 – $250,000
Source: techjacksolutions.com
*Note All salary information is based on aggregated market data from publicly available sources and reflects US estimates. Actual salaries may vary based on location, education and other qualifications, skills showcased during the interview, and other factors.
C|RAGE PROGRAM FAQS
FREQUENTLY
ASKED
QUESTIONS
What is the C|RAGE certification?
C|RAGE (Certified Responsible AI Governance & Ethics) trains governance professionals to lead AI oversight, ensure compliance, and build audit-ready programs. It’s aligned with the ‘Govern’ pillar of the ADG framework and prepares leaders to own responsible AI governance across the full AI lifecycle.
Who should take the C|RAGE certification?
C|RAGE is designed for CISOs, GRC professionals, Data Protection Officers, AI Program Managers, Internal Auditors, and anyone responsible for AI governance, compliance, or policy in their organization.
What frameworks does C|RAGE cover?
The program covers NIST AI Risk Management Framework, ISO/IEC 42001, EU AI Act, GDPR/CCPA, SOC 2 Type II, and AI ethics and governance principles. You’ll master the frameworks that regulators and auditors expect.
How is C|RAGE different from other AI certifications?
C|RAGE focuses specifically on governance, compliance, and accountability, not technical AI skills. It’s designed for leaders who need to own AI oversight and build enterprise-scale governance frameworks, not for data scientists or engineers.
What will I be able to do after completing C|RAGE?
You’ll be able to build AI governance frameworks, ensure regulatory compliance, execute AI testing and auditing, manage AI risk assessment and third-party AI risk, and define enterprise AI strategy with authority.
Do I need technical AI experience?
No. C|RAGE is designed for governance professionals, not technical practitioners. You’ll learn enough about AI technology to govern it effectively, but the focus is on frameworks, compliance, and accountability.
Is this certification theoretical or operational?
C|RAGE is implementation-focused and audit-oriented. It prepares professionals to design, document, operate, and defend AI governance programs in real enterprise environments, including accountability mapping, regulatory alignment, evidence generation, and assurance readiness.
Is the C|RAGE certification recognized globally?
Yes, C|RAGE is designed for global relevance and aligns with international AI governance, risk, and compliance frameworks, including widely adopted standards and regulatory expectations across regions.