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 mitigate bias and enhance transparency.

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

• Understand 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.

Artificial Intelligence and Machine Learning are rapidly advancing technologies that have profound 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 seeking to understand how to establish robust information governance practices within AI and machine learning environments.

Upon completion of this training, participants will be able to:

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Identify common organizational deployment areas for AI/ML and associated governance risks.
• Assess how AI/ML systems interact with Data Protection Principles, records management, and data quality standards.
• Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML initiatives.

Course Format

• Interactive lectures and group discussions.
• Analysis of real-world case studies and governance frameworks.
• Collaborative group activities and guided walkthroughs of relevant documents.

Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

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

• Master enterprise prompt architecture across 6 layers (Role, Context, Constraints, Domain Standards, Format, Examples).
• Encode business, security and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library validated, shared and governed by all teams.
• Define sustainable governance: Prompt Curator role, naming conventions, versioning, quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

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

The EU AI Act establishes a regulatory framework governing the development, deployment, and use of artificial intelligence systems within the EU, as well as for services provided to EU-based users.

This instructor-led live training, available online or on-site, is designed for beginner-level end users who want to understand their obligations and adhere to safe practices under the EU AI Act.

Upon completing this training, participants will be able to:

• Identify prohibited AI practices under Article 4 and recognize examples in workplace systems.
• Follow organizational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behavior through the correct channels.
• Document simple compliance evidence required by supervisors or auditors.

Course Format

• Interactive presentations with plain-language explanations of legal requirements.
• Role-specific exercises and realistic workplace scenarios.
• 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.

This technical, hands-on programme demonstrates how to implement the engineering controls, observability, and automation necessary to fulfill EU AI Act compliance obligations.

Designed as an instructor-led, live training session (available online or onsite), this course targets intermediate-level IT professionals seeking to establish secure, auditable pipelines and runtime safeguards that demonstrate adherence to 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 live demonstrations.
• Hands-on labs for building CI/CD pipelines and monitoring stacks.
• Practical exercises focused on producing documentation and audit artifacts.

Course Customization Options

• Content can be tailored to your organization’s specific toolchain, cloud provider, and internal compliance workflows.

The EU AI Act establishes a robust regulatory framework aimed at fostering the trustworthy, secure, and transparent deployment of artificial intelligence systems.

This instructor-led training session, available either online or onsite, is designed for beginner to intermediate-level managers seeking to grasp their organisation’s obligations, governance expectations, and the strategic impact of aligning with the EU AI Act.

After completing this course, participants will be equipped to:

• Analyze the EU AI Act’s requirements within a managerial framework.
• Identify strategic priorities and investment areas necessary for compliance.
• Implement governance structures, define accountability chains, and establish oversight mechanisms.
• Effectively communicate obligations, risks, and expectations across various business units.

Course Format

• Instructor-led presentations enriched with real-world case studies.
• Group discussions and scenario-based decision-making exercises.
• Practical workshops focused on governance planning and documentation.

Customization Options

• The curriculum can be tailored to suit your organisation’s industry sector, maturity level, and existing governance model.

Delegates will learn how to

• AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology, a survey of current law, and strategies for risk management, security and safety considerations, privacy protection, and other topics.
• Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
• This training teaches critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a "test prep" course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.