Global Learning for Operational Leaders
Classroom
18 sessions
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Online / Live
18 sessions
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Introduction
Course overview
As Artificial Intelligence becomes embedded in business operations, organizations must establish effective governance frameworks to ensure AI systems are ethical, transparent, compliant, and aligned with strategic objectives.
This course provides participants with practical guidance on AI governance, risk management, ethical oversight, regulatory compliance, and organizational accountability to support responsible AI adoption.
What you will achieve
Learning objectives
- Understand the principles and importance of AI governance
- Establish governance structures for responsible AI adoption
- Identify and manage AI-related risks and compliance requirements
- Apply ethical principles to AI development and deployment
- Address AI bias, transparency, and accountability challenges
- Develop AI oversight committees and governance frameworks
- Monitor emerging regulations and future AI governance trends
Who should attend
Target audience
- Governance and compliance professionals
- Risk management specialists
- Internal auditors
- Digital transformation leaders
- IT managers and technology professionals
- Legal and regulatory professionals
- Executives responsible for AI strategy and oversight
Methodology
Learning approach
- The course combines presentations, practical workshops, case studies, group discussions, governance framework exercises, AI risk assessments, policy development activities, and real-world implementation scenarios.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Foundations of AI Governance and Ethical Principles
- Understanding the strategic importance of AI governance within organizations
- Introduction to governance, risk, and compliance frameworks for AI environments
- Exploring governance principles and accountability structures
- Coffee break
- Exploring governance principles and accountability structures (continued)
- Understanding artificial intelligence technologies and organizational applications
- Examining governance challenges associated with generative AI solutions
- Reviewing internationally recognized AI ethics principles and responsible AI practices
Day 2
Ethical AI Implementation and Responsible Use
- Applying ethical principles throughout the AI lifecycle
- Understanding AI-generated inaccuracies and their organizational implications
- Identifying practical approaches to improve AI reliability and output quality
- Coffee break
- Utilizing prompt design techniques to improve AI effectiveness and reduce errors
- Understanding AI bias and its impact on organizational decisions
- Implementing practical measures to promote fairness, transparency, and responsible AI use
Day 3
Building an Effective AI Governance Framework
- Integrating ethical oversight into AI management and decision-making processes
- Establishing AI governance structures and organizational responsibilities
- Designing AI and innovation committees to support governance objectives
- Coffee break
- Designing AI and innovation committees to support governance objectives (continued)
- Defining committee roles, reporting structures, and stakeholder responsibilities
- Understanding the impact of AI governance on business functions and stakeholders
- Developing implementation roadmaps for launching AI governance initiatives
Day 4
Managing AI Risks and Organizational Accountability
- Understanding AI risk management principles in dynamic environments
- Identifying, assessing, and prioritizing AI-related risks
- Implementing fairness monitoring and bias detection mechanisms
- Coffee break
- Implementing fairness monitoring and bias detection mechanisms (continued)
- Strengthening accountability and governance controls for AI systems
- Managing transparency requirements and stakeholder expectations
- Utilizing decision-support frameworks to improve governance effectiveness
Day 5
Compliance, Regulation, and the Future of AI Governance
- Understanding the evolving regulatory landscape for artificial intelligence
- Reviewing regulatory expectations and compliance obligations
- Implementing AI compliance and monitoring frameworks
- Coffee break
- Implementing AI compliance and monitoring frameworks (continued)
- Leveraging automated monitoring solutions for governance oversight
- Exploring emerging trends and future developments in AI governance
- Developing a practical AI governance roadmap and organizational action plan for sustainable implementation
FAQ
Frequently asked questions
What does Certificate in AI Governance (AGRC-016) cover?
This course covers Auditing and Governance Risk and Compliance through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 26 - 30 October 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Governance and compliance professionals, Risk management specialists, Internal auditors
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Istanbul, Frankfurt, Kuala lumpur, Amsterdam, London, Munich, Barcelona.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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