EU AI Act Compliance for Management and Leadership Training Course

This instructor-led, live training (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers who aim to understand and implement ethical practices in AI systems. The course covers essential ethical frameworks, regulatory standards such as the EU AI Act, and practical techniques for auditing AI systems to reduce bias and increase transparency.

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

• Understand the core principles of responsible AI, including fairness, accountability, and transparency.
• Identify and mitigate biases within AI systems.
• Implement ethical frameworks and conduct AI audits for compliance.
• Apply governance strategies to manage ethical risks in AI deployment for government and other public sector entities.

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing technologies with significant implications for data governance and organizational compliance.

This instructor-led, live training (available online or onsite) is designed for intermediate-level governance, privacy, and compliance professionals who seek to understand how to implement robust information governance practices in environments leveraging AI and ML.

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

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Identify key areas where AI/ML is commonly deployed in organizations and the associated information governance risks.
• Assess how AI/ML interacts with Data Protection Principles, records management, and data quality.
• Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML initiatives.

Format of the Course

• Interactive lectures and discussions.
• Real-world case studies and framework analyses.
• Group exercises and guided document reviews.

Course Customization Options

• To request a customized training tailored to your specific needs, please contact us to arrange.

This course is designed to enhance the capabilities of professionals in managing AI and ML technologies for government, ensuring alignment with public sector workflows, governance, and accountability.

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

• Understand and implement a comprehensive enterprise prompt architecture across six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Integrate business, security, and compliance requirements (such as GDPR, EU AI Act, and sector-specific standards) directly into prompts.
• Collaboratively develop a prompt library that is validated, shared, and governed by all teams within the organization.
• Establish sustainable governance practices, including defining roles such as Prompt Curator, establishing naming conventions, versioning procedures, and quality metrics.
• Receive concrete deliverables: a version 1.0 of the prompt library, a Governance Charter, and a 30-Day Deployment Plan.

The course format is designed to facilitate participant assessment and engagement.

• Interactive workshops tailored for multiple profiles, including Architects, Developers, Quality Assurance (QA) professionals, and Team Leaders.
• Facilitated co-construction sessions led by an architect-consultant, enabling participants to build real, operational deliverables.
• All co-built deliverables will remain the property of the client organization.

Course customization options for government

• To request a customized version of this training, please contact us to make the necessary arrangements.

Delegates will learn how to

• Develop, integrate, and deploy trustworthy artificial intelligence (AI) systems in compliance with emerging laws and policies. The curriculum provides an overview of AI technology, a review of current legal frameworks, and strategies for managing risk, ensuring security and safety, protecting privacy, and addressing other key topics.
• Build foundational knowledge of AI systems, their use cases, the impacts of AI, and the principles of responsible AI.
• Demonstrate an understanding of how current and emerging laws apply to AI systems and how major frameworks can be responsibly governed.
• Understand the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance practices.
• Gain awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
• This training covers critical AI governance concepts that are essential for government professionals. It is also aligned with the AIGP certification exam, making it suitable for individuals who plan to certify as well as those seeking to deepen their understanding of AI governance. Both the training and the exam are based on the same body of knowledge.