Tightening Regulation
Learn how the EU AI Act, ISO/IEC 42001 and NIST AI RMF translate into obligations your organization must evidence.
🛡️ AI Governance & ComplIAnce
Certified AI Governance Professional
AI governance certification matters now because regulators aren't waiting. The EU AI Act, ISO/IEC 42001, and NIST AI RMF are turning "responsible AI" into something you must document and defend. This AI Governance course teaches you to build the inventories, assessments, and controls that survive an audit.
Structured learningHands-on practiceProfessional outcomes
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Trusted By 10,000+ Professionals
Why This Skill Matters Now
AI governance matters now because most AI failures don't happen at the model, they happen in the gap between building something and being able to defend it. A working AI system means little if you can't prove it's fair, compliant, and safe under scrutiny. This AI Governance training is designed to close that exact gap: turning AI experiments into systems that are documented, defensible, and audit-ready.
Unmanaged AI Risk
Build the controls needed to catch bias, model drift, data leakage and shadow AI before they reach customers.
Stalled AI Adoption
Use repeatable governance practices to move AI use cases from blocked pilots to approved production.
Is This AI Governance Certification Right for You?
This AI governance course is designed for professionals who want to move beyond reading about regulation and learn how to operationalize AI risk, compliance, and oversight in practice. The path also helps professionals build the skills and artifacts relevant to pursuing AI governance certification in roles spanning legal, risk, and technical teams.
✓ Perfect For You If...
- ✓You are responsible for AI risk, compliance, privacy, audit or security in your organization.
- ✓You need to operationalize the EU AI Act, ISO/IEC 42001 or NIST AI RMF, not just read about them.
- ✓You want to build AI inventories, impact assessments and oversight controls that survive an audit.
- ✓You sit between business, legal and technical teams and must translate governance into decisions.
- ✓You are moving into an AI governance, responsible AI or AI assurance role.
✕ Not For You If...
- ✕You are looking for a coding or model-building course rather than governance and controls.
- ✕You want a purely legal or academic overview with no implementation work.
- ✕You expect a single regulation summary instead of a repeatable governance framework.
- ✕You do not want to produce policies, registers or assessment artifacts as part of the learning.
Complete Course Syllabus PDF
Includes the detailed learning path, module structure, framework coverage and prerequisites.
What You Will Build
You'll build what a real AI governance course should actually teach: an AI system inventory that classifies risk, an impact assessment that stands up to audit, and a governance policy pack you can hand to leadership.
AI System Inventory & Risk Classification
Map real AI use cases, classify them by risk tier and document intended purpose and owners.
Impact Assessment & Control Set
Run a full AI impact assessment and define the controls, testing and human oversight around it.
Governance Policy Pack
Turn the pieces into a policy, register and oversight model you can present to leadership or auditors.
⭐ Curriculum Overview
Structured Professional Development
Track your mastery seamlessly as you progress through each stage.
Module 01Free access
Foundations of AI Governance
Master the fundamentals of AI Governance from establishing ethical guidelines and compliance standards to risk management and continuous monitoring of AI systems. Build a strong foundation in essential governance frameworks and industry concepts to confidently design, deploy, and manage responsible AI solutions.
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Module 02Free access
AI Governance Frameworks & Standards
Navigate the global landscape of AI governance frameworks and standards—from ISO/IEC 42001 and ISO/IEC 23894 to the NIST AI RMF, ISO/IEC 38507, OECD, and UNESCO principles. Learn how each framework is structured, how they compare, and how to select and apply the right one for your organization's AI initiatives.
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Module 03Free access
AI Governance Strategy, Policies & Accountability
Build the organizational backbone of responsible AI from crafting an AI governance strategy and core policies to defining roles, committees, and operating models. Learn how the Three Lines of Defense, RACI mapping, executive oversight, and structured documentation turn governance principles into accountable, day-to-day practice.
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Module 04Free access
AI Inventory, Classification & AI Lifecycle Governance
Gain visibility and control over every AI system in your organization from building an AI inventory and classifying systems by risk to governing the full lifecycle across development, procurement, deployment, monitoring, change management, and retirement. Learn how to surface Shadow AI and keep governance active from first use case to decommissioning.
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Module 05Free access
AI Risk Management
Master the end-to-end AI risk management cycle from identifying and assessing risks to scoring, classifying, treating, and accepting them. Learn to maintain an AI risk register, assign clear ownership, monitor emerging risks, and report on risk posture so that AI systems stay within your organization's defined risk criteria.
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Module 06Free access
AI Impact Assessment & Trustworthy AI
Evaluate how AI systems affect people, rights, and society from conducting AI and algorithmic impact assessments to analyzing stakeholder benefits and harms. Build fluency in the pillars of trustworthy AI: safety, reliability, security, transparency, explainability, accountability, privacy, fairness, bias management, and meaningful human oversight.
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Module 07Free access
AI Data Governance & Privacy
Govern the data that powers AI from quality, provenance, and lineage to classification, retention, and access controls. Learn how privacy by design, data minimization, sensitive and personal data protection, third-party data handling, and generative AI data controls work together to reduce AI privacy risks across the data lifecycle.
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Module 08Free access
Generative AI Governance
Govern generative AI and LLMs with confidence from acceptable use and risk management to hallucinations, prompt injection, system instruction security, and sensitive data leakage. Learn to manage copyright and IP exposure, govern AI-generated content, structure human review, assess GenAI vendors, and monitor multi-agent systems at enterprise scale.
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Module 09Free access
AI Security & Third-Party AI Risk
Secure AI systems and the ecosystem around them from AI threat and vulnerability management to model and application security, adversarial attacks, data poisoning, and model manipulation. Learn to govern supply chain exposure, assess AI vendors, apply procurement and contractual controls, and monitor cloud, open-source, and third-party AI risk on an ongoing basis.
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Module 10Free access
AI Governance & Regulatory Compliance
Navigate the global AI regulatory landscape with clarity from the EU AI Act's risk-based classification and high-risk system obligations to transparency, documentation, and human oversight requirements. Learn to run regulatory risk assessments, map regulations to internal controls, monitor compliance across global markets, and manage regulatory change as the landscape evolves.
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Module 11Free access
AI Governance Controls, Monitoring & Assurance
AI Governance Controls, Monitoring & Assurance focuses on establishing effective controls to ensure AI systems are responsible, secure, transparent, compliant, and aligned with organizational objectives. It covers continuous monitoring of AI performance, risk management, data governance, documentation, access controls, and compliance requirements.
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Module 12Free access
Implementing an Enterprise AI Governance Program
Implementing an Enterprise AI Governance Program involves creating a structured framework to manage AI risks, establish accountability, ensure regulatory compliance, and promote responsible AI adoption across an organization. It includes defining AI policies, roles and responsibilities, risk assessment processes, governance controls, documentation, and monitoring mechanisms.
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Certification Exam
Exam Details
Review the key certification exam information before you begin your preparation.
Exam Questions42
Exam FormatMultiple Choice
LanguageEnglish
Passing Score70%
Duration90 min
ProctoredYes
Certification Validity5 Years
Complimentary RetakeYes
Learn From Practitioners
Ayush Kulshreshtra
AI Coach & Consultant
Ayush Kulshreshtra helps professionals and organizations operationalize AI governance translating regulatory frameworks like the EU AI Act, ISO/IEC 42001, and NIST AI RMF into practical risk registers, policies, and oversight controls. His approach combines hands-on implementation work with real-world audit and compliance experience, helping learners move from reading regulation to defending it in front of legal, risk, and leadership teams.
✓ Practitioner-led✓ Hands-on guidance✓ Real-world implementation
👥 Elite Network & Support
Learn AI Governance With a Professional Community
Get support while you learn, compare how peers are interpreting AI regulation, and keep moving when an assessment or policy exercise gets difficult.
Learning SupportGet help when you are blocked on practical work.
Career NetworkConnect learning outcomes with professional opportunities.
📈 Alumni Spotlight
Turn Governance Knowledge Into Career Impact
“The strongest outcome of this certification is being able to walk into a room with legal, risk and engineering and give one clear answer on whether an AI system can go live — and show the evidence behind it.”
We went from having no AI inventory to a classified register and impact assessments in under a quarter. The audit conversation changed completely.
Learner Success StoryAI Governance Professional
Trusted by AI Governance Professionals
See how learners apply these skills in real governance, risk, and compliance roles.
Professional Bonuses
Enroll and get access to career-accelerating resources.
Top 100 Interview Questions
A comprehensive PDF of governance, risk, and compliance questions commonly asked by leading companies. ($99 Value)
Resume & Portfolio Guide
Templates and strategies to highlight your AI governance projects — risk registers, impact assessments, policy packs. ($149 Value)
Private Alumni Community
Lifetime access to networking, peer learning, and career opportunities with other AI governance professionals. (Priceless Value)
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