EU AI Act Compliance for Governance and Compliance Teams 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.

AI and Machine Learning are rapidly evolving technologies with significant implications for data governance and organizational compliance. This instructor-led, live training (online or onsite) is aimed at intermediate-level governance, privacy, and compliance professionals who wish to understand how to implement robust information governance practices in environments utilizing AI and machine learning. By the end of this training, participants will be able to: - Understand the core concepts of AI and machine learning within an information governance context. - Identify typical areas where AI/ML is deployed in organizations and assess related IG risks. - Evaluate how AI/ML interacts with Data Protection Principles, records management, and data quality. - Apply DPIAs, governance frameworks, and risk mitigation approaches to AI/ML projects. **Format of the Course** - Interactive lecture and discussion. - Real-world case examples and framework analysis. - Group activities and guided document walkthroughs. **Course Customization Options for Government** - To request a customized training for this course, please contact us to arrange.

The EU AI Act is a regulatory framework that establishes guidelines for the development, deployment, and use of artificial intelligence systems within the European Union and for services provided to EU users. This instructor-led, live training (available online or onsite) is designed for beginner-level end users who need to understand their obligations and best practices under the EU AI Act for government operations. Upon completion of this training, participants will be able to: - Identify prohibited AI practices as outlined in Article 4 and recognize examples within workplace systems. - Adhere to organizational policies and safe-use procedures when interacting with AI systems. - Report incidents, biases, or unexpected model behavior through the appropriate channels. - Document simple compliance evidence required by supervisors or auditors. **Format of the Course** - Interactive presentations that provide clear explanations of legal requirements in plain language. - Role-specific exercises and realistic workplace scenarios to enhance understanding. - Guided practice in reporting incidents and completing simple compliance checklists. **Course Customization Options** - Content can be tailored to reflect your organization’s AI inventory, policies, and reporting channels for government use.

This course is a technical, hands-on program designed to demonstrate how to implement engineering controls, observability, and automation necessary to meet the EU AI Act compliance obligations. This instructor-led, live training (available online or on-site) is targeted at intermediate-level IT professionals who wish to establish secure, auditable pipelines and runtime safeguards to ensure compliance with Article 4 and related requirements. Upon completion of this training, participants will be able to: - Design CI/CD pipelines that integrate governance checks and automated tests for prohibited practices. - Implement logging, monitoring, and audit trails to generate compliance evidence. - Apply technical mitigations for high-risk behaviors and configure runtime safeguards. - Prepare the technical documentation and artifacts required for conformity assessments and audits. **Format of the Course** - Technical lectures featuring architecture diagrams and demonstrations. - Hands-on labs focused on building CI/CD pipelines and monitoring stacks. - Practical exercises aimed at producing documentation and audit artifacts. **Course Customization Options** - Content can be tailored to your organization’s toolchain, cloud provider, and internal compliance workflows for government.

The EU AI Act is a regulatory framework designed to ensure the trustworthy, safe, and transparent deployment of AI systems for government and other sectors. This instructor-led, live training (available online or onsite) is aimed at beginner-level and intermediate-level managers who wish to understand organizational obligations, governance expectations, and strategic implications of aligning with the EU AI Act. Upon completion of this course, participants will be able to: - Interpret the EU AI Act’s requirements in a management context. - Define strategic priorities and investment areas to support compliance. - Establish governance structures, accountability lines, and oversight mechanisms. - Communicate obligations, risks, and expectations across business units. **Format of the Course** - Instructor-led presentations supported by case studies. - Group discussions and scenario-based decision-making activities. - Practical exercises focused on governance planning and documentation. **Course Customization Options** - The curriculum can be adapted to your organization’s sector, maturity level, and governance model for government or other entities.

Participants will learn how to

• Develop, integrate, and deploy trustworthy artificial intelligence (AI) systems in alignment with emerging laws and policies. The training provides an overview of AI technology, a survey of current legal frameworks, and strategies for risk management, security, safety considerations, privacy protection, and other key areas.
• Establish foundational knowledge of AI systems, their use cases, the impacts of AI, and an understanding of responsible AI principles.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and the responsible governance of major frameworks.
• Show comprehension of 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 for government.
• This training covers critical AI governance concepts that are integral to the AIGP certification exam. While not solely a "test prep" course, it is suitable for professionals planning to certify as well as those seeking to deepen their understanding of AI governance.