Hands-On Learning
Apply governance principles to realistic scenarios, investigate accountability gaps and develop a practical Agentic AI Governance and Assurance Framework.
Expert Guidance
Benefit from over 20 years of experience in higher education, digital innovation and professional learning, with a focus on responsible and effective AI adoption.
Flexible Schedule
Learn entirely online at your own pace, with flexible activities designed for busy professionals, educators, researchers and institutional leaders.
About the Course
As AI agents become capable of planning activities, using tools and undertaking increasingly autonomous actions, organisations face new challenges in maintaining accountability, oversight and control. Agentic AI Governance: Oversight, Accountability and Responsible Autonomy provides a practical introduction to governing these emerging capabilities responsibly. You will explore how organisations can establish accountable ownership, define decision rights, classify risks, develop assurance arrangements and implement proportionate governance controls across the agent lifecycle. Through realistic professional scenarios and applied activities, you will learn to investigate governance weaknesses, assess institutional responsibilities and respond to the challenges created by autonomous AI systems. The course culminates in the development of your own Agentic AI Governance and Assurance Framework, providing a structured foundation for organisational planning, policy development and responsible implementation. Designed for educators, researchers, managers, professional services staff and institutional leaders, the course requires no programming experience or specialist software. Develop the confidence and practical judgement to help organisations adopt agentic AI responsibly while preserving meaningful human accountability.
Meet Your Instructor
Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.
Curriculum
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Welcome to the Course Free preview
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From Workflow Design to Institutional Governance Free preview
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Legal Disclaimer & Terms of Use Free preview
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1.1 From AI Use to Autonomous Organisational Action
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1.2 Governance Scope, Risk and Institutional Context
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1.3 Autonomy, Authority and Accountability
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1.4 Mapping Governance Responsibilities
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1.5 Learning Activities
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1.6 Agentic AI Governance Landscape Analysis
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1.7 Accountability Gap Investigation
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1.8 Governance Readiness Assessment
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2.1 Establishing Accountable Ownership
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2.2 Governance Roles and Decision Authorities
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2.3 Designing Proportionate Oversight Arrangements
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2.4 Escalation, Challenge and Institutional Intervention
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2.5 Learning Activities
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2.6 Accountability Structure Design
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2.7 Oversight Failure Investigation
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2.8 Institutional Decision Rights Challenge
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3.1 Understanding Agentic AI Risk Exposure
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3.2 Risk Classification and Autonomy Limits
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3.3 Designing an Agentic AI Assurance Framework
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3.4 Evidence, Monitoring and Governance Review
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3.5 Learning Activities
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3.6 Risk and Autonomy Classification Challenge
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3.7 Assurance Evidence Investigation
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3.8 Responsible Autonomy Design Assessment
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4.1 Translating Governance Principles into Policy
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4.2 Data Protection, Security and Information Responsibilities
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4.3 Procurement, Third-Party Agents and Supplier Accountability
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4.4 Governance Controls Across the Agent Lifecycle
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4.5 Learning Activities
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4.6 Agentic AI Policy Design Challenge
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4.7 Third-Party Governance Investigation
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4.8 Lifecycle Control Mapping
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5.1 Recognising Governance Failures and Emerging Risks
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5.2 Incident Accountability and Institutional Response
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5.3 Auditability, Transparency and Evidence Preservation
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5.4 Governance Review and Continuous Improvement
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5.5 Learning Activities
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5.6 Governance Incident Investigation
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5.7 Institutional Response Design Challenge
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5.8 Governance Improvement and Assurance Review
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6.1 Introduction to the Final Integrative Activity
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6.2 Agentic AI Governance and Assurance Framework
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6.3 Reviewing and Stress-Testing Your Governance Framework
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6.4 Course Reflection and Next Steps
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Course Complete: Share Your Feedback
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End of Course Survey
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Unlock Your Genai Potential
Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.
£49.00