An intensive professional development training course on
Certificate in AI Governance
Frameworks, Policies, Ethics, and Risk Management for Responsible AI Systems
Why Choose Certificate in AI Governance Training Course?
Artificial Intelligence is rapidly transforming business, government, and society. As AI systems become more powerful and more deeply embedded in decision-making, the need for strong governance frameworks has never been greater. Organisations today face increasing pressure to ensure transparency, fairness, accountability, and compliance while leveraging AI for innovation and operational efficiency.
This Certificate in AI Governance training course provides participants with a comprehensive understanding of how to establish, implement, and maintain effective AI governance structures within their organisations. Through practical frameworks, case studies, and global best practices, participants will learn how to manage AI-related risks, develop ethical principles, align with emerging regulations, and guide teams in building trustworthy AI solutions.
The course equips future AI governance leaders with the skills needed to oversee responsible AI adoption, design governance policies, and ensure that AI technologies support organisational values and legal obligations.
What are the Goals?
By the end of this training course, participants will be able to:
- Understand key principles of AI governance, ethics, and responsible AI
- Develop and implement AI governance frameworks aligned with organisational strategy
- Identify and mitigate AI-related risks, including bias, privacy, and safety concerns
- Apply global standards such as EU AI Act, NIST AI Framework, ISO/IEC 42001
- Build governance policies that ensure transparency, fairness, and accountability
- Conduct AI risk assessments, audits, and impact evaluations
- Establish roles, responsibilities, and governance structures for AI oversight
- Support compliant and trustworthy AI adoption within different industries
- Lead ethical, sustainable, and value-driven AI implementation
The Course Content
- Understanding AI governance: definitions, scope, and importance
- Key drivers for AI governance in the public and private sectors
- Overview of AI ethics principles: fairness, accountability, transparency, privacy
- Types of AI systems and associated governance challenges
- Case studies: governance failures (Amazon recruiting AI, COMPAS, etc.)
- Introduction to global AI governance models and frameworks
- Building the business case for responsible AI
- Workshop: Mapping AI governance needs in your organisation
- Overview of global regulations
- AI classifications and compliance obligations
- Data protection laws and AI (GDPR, regional regulations)
- Governance requirements for high-risk AI systems
- AI documentation, transparency, and reporting obligations
- Building internal compliance frameworks
- Workshop: Conducting a regulatory impact assessment
- Understanding AI risks: technical, operational, ethical, and societal
- Bias detection, fairness assessment, and mitigation strategies
- Explainable AI (XAI) methods and tools
- Governance for generative AI models and large language models
- AI model lifecycle management and monitoring
- Risk registers, AI control checkpoints, and audit trails
- AI system testing and validation frameworks
- Workshop: Conducting an AI risk assessment & bias analysis
- Governance structures: committees, roles, oversight responsibilities
- AI governance frameworks: NIST, ISO, and organisational models
- Creating AI governance policies and standard operating procedures
- Procurement governance: evaluating third-party AI vendors
- Human-in-the-loop (HITL) and human-on-the-loop (HOTL) controls
- Incident response management for AI failures
- Building governance for generative AI & autonomous systems
- Workshop: Drafting an AI governance policy for your organisation
- Developing an enterprise AI governance strategy
- AI maturity assessments and roadmap development
- Aligning AI governance with organisational values and ESG goals
- Integrating AI governance into digital transformation programs
- Preparing for future trends: autonomous systems, AGI, and next-gen regulations
- Capstone exercise: Designing a complete AI governance blueprint
- Certificate examination / assessment
- Closing session: Action plan for AI governance implementation
Certificate and Accreditation
- AZTech Certificate of Completion for delegates who attend and complete the training course
How Aztech Saudi Can Enhance Your Professional Career
At Aztech Saudi, we believe that professional development is the foundation of long-term career success. This training course is expertly designed to equip individuals with practical skills, forward-thinking strategies, and the confidence to navigate today’s dynamic work environments. Each course is delivered by subject matter specialists with extensive industry experience, ensuring that every learning experience is relevant, impactful, and aligned with real-world challenges. Whether you're looking to strengthen your technical expertise, enhance leadership abilities, or stay ahead of industry trends, Aztech Saudi provides the tools you need to elevate your performance and deliver measurable value to your organization.
Our training is more than just knowledge transfer—it’s a catalyst for career transformation. By participating in our courses, professionals gain a competitive advantage in their fields, improve their decision-making capabilities, and position themselves for new opportunities and leadership roles. We take pride in supporting individuals across various sectors and career stages, helping them unlock their full potential through high-quality, globally benchmarked learning experiences. With Aztech Saudi as your development partner, you’re not only investing in education—you're investing in a stronger, more successful future.
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