The EU AI Governance Professional training course equips participants with the knowledge and skills needed to navigate the EU regulatory framework for artificial intelligence (AI) systems, including the EU AI Act, enabling them to establish AI governance, manage AI risks, and ensure compliant data governance and data-sharing practices under the EU Data Act, while maintaining compliance throughout the AI life cycle.

Why Should You Attend?
While transforming industries, AI is raising significant ethical and regulatory considerations. As AI systems continue to advance, organizations must ensure the systems remain safe, reliable, and ethical by adopting effective governance practices. This requires a structured, professional approach, including governance, risk management, compliance with regulations, and ongoing monitoring.

Europe is setting the tone for responsible AI with the EU AI Act, the world’s first structured legal framework for artificial intelligence. It categorizes systems by the level of risk they pose and places proportionate responsibilities on those who build and deploy them, ranging from basic transparency obligations to outright bans on applications deemed too dangerous. For organizations with any presence in the European market, the EU AI Act translates the principles of responsible AI into concrete obligations, from documented risk assessments and human oversight to data governance, embedding good practice directly into the regulatory framework.

Upon completion of the training course, participants can sit for the certification exam. After successfully passing the exam, participants can apply for the “PECB Certified EU AI Governance Professional” credential, which demonstrates their expertise, knowledge, and practical ability to effectively implement and manage AI governance and compliance in line with the EU AI Act.

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

• Explain the purpose, scope, structure, and risk-based approach of the EU AI Act, including the connection to the wider EU digital, data, cybersecurity, and product safety regulatory landscape
• Determine whether and how the EU AI Act applies to organizational AI systems, use cases, operator roles, GPAI use, data access, and data sharing
• Plan an internal governance and compliance framework for the EU AI Act and relevant EU Data Act obligations, including accountability, policies, roles, responsibilities, controls, documentation, and oversight
• Apply key EU AI Act requirements across the AI life cycle, including risk management, data governance, technical robustness, human oversight, transparency, AI literacy, conformity assessment, registration, and impact assessment, while considering relevant EU Data Act requirements for data access, use, and sharing
• Support the implementation, monitoring, reporting, and continual improvement of AI and data-related compliance across business, technical, and governance processes

Target audience

• Professionals responsible for designing, implementing, and overseeing AI governance and compliance within their organizations
• IT, security, and technical professionals seeking to align AI systems with EU regulatory requirements
• Data scientists, data engineers, and AI developers involved in the development, deployment, and maintenance of AI systems
• Consultants advising organizations on the EU AI Act compliance, governance frameworks, and risk mitigation strategies
• Legal, compliance, and privacy professionals specializing in AI regulation, data protection, and ethical considerations
• Managers and leaders overseeing AI initiatives and ensuring responsible and compliant AI adoption
• Executives and decision-makers aiming to understand and manage AI-related regulatory, operational, and strategic risks

Prerequisites
Participants should have a fundamental understanding of AI or digital technologies to participate in this training course. Experience in managing, deploying, or overseeing AI systems or AI-enabled processes is beneficial but not required. A basic understanding of business or data-driven processes, as well as familiarity with regulatory or compliance concepts such as GDPR, may also support participants in engaging with the course content.

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