Certificate in AI Governance

Certificate in AI Governance Training Course provides organisations with a structured and practical approach to managing artificial intelligence responsibly while addressing the growing risks of Shadow AI. As AI systems increasingly influence decisions across business, government, and society, the demand for transparency, fairness, accountability, and regulatory compliance has become critical. This training course helps participants understand how to govern AI effectively without limiting innovation or operational agility.

In an environment shaped by rapid AI adoption and evolving regulations, organisations must balance opportunity with control. This AI Governance Course explains how well-defined governance frameworks support ethical AI use, align AI initiatives with organisational strategy, and ensure compliance with emerging global standards. Participants gain clarity on why governance is essential, how risks such as bias and privacy concerns arise, and where traditional controls may fail to address modern AI challenges.

The Certificate in AI Governance Training Course equips delegates with practical knowledge of governance models, policies, and oversight mechanisms. By examining real-world governance failures and exploring frameworks such as the EU AI Act, ISO/IEC 42001, and the NIST AI Framework, participants develop the confidence to design governance structures that support responsible, compliant, and value-driven AI adoption across the full AI lifecycle.

This AI Governance Training Course is designed to build a strong foundation in responsible AI oversight, risk management, and governance design. It focuses on enabling participants to evaluate AI systems effectively, apply recognised frameworks, and establish controls that promote ethical and compliant AI use.

By the end of this training course, participants will be able to:

• Understand the core principles of AI governance, ethics, and responsible AI.
• Develop and implement governance frameworks aligned with organisational objectives.
• Identify and mitigate AI-related risks, including bias, privacy, safety, and lifecycle vulnerabilities.
• Apply global standards and regulatory frameworks such as the EU AI Act, NIST AI Framework, and ISO/IEC 42001.
• Design policies that promote transparency, fairness, and accountability in AI systems.
• Conduct AI risk assessments, audits, and impact evaluations.
• Establish governance roles, responsibilities, and oversight structures.
• Support trustworthy, compliant, and sustainable AI adoption across different industries.

This Certificate in AI Governance Training Course is designed for professionals responsible for overseeing AI initiatives, managing risk, or ensuring ethical and regulatory compliance. It is suitable for individuals involved in designing governance structures or supporting responsible AI adoption within their organisations.

This training course will benefit:

• AI and data governance professionals responsible for oversight and controls.
• Risk, compliance, and internal audit teams.
• Policy makers and public-sector professionals involved in AI regulation.
• AI and machine learning specialists transitioning into governance-focused roles.
• Digital transformation leaders overseeing AI deployment.
• Legal and regulatory affairs professionals supporting AI compliance.
• Professionals responsible for AI ethics, governance, and responsible innovation.

This Certificate in AI Governance Training Course is delivered using interactive and practical learning methods to ensure clear understanding and real-world application. The approach combines structured instruction with collaborative learning and applied exercises focused on contemporary AI governance challenges.

Participants engage in instructor-led sessions covering governance frameworks, ethical principles, and regulatory requirements, supported by guided group discussions. Case studies are used to analyse governance failures and regulatory impacts, while workshops focus on policy development, risk evaluation, and governance design.

Hands-on exercises reinforce learning through practical application, including bias analysis, transparency controls, and lifecycle governance. The training course concludes by enabling participants to translate knowledge into actionable governance practices suited to their organisational context.

• AZTech Certificate of Completion for delegates who attend and complete the training course