EU AI Act Compliance for Governance and Compliance Teams Training Course

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course covers key ethical frameworks, regulatory standards like 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 (AI) and Machine Learning (ML) are technologies evolving at a rapid pace, bringing substantial implications for data governance and organizational compliance.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals in governance, privacy, and compliance. The course is designed to help participants master the implementation of robust information governance practices within environments that utilize AI and machine learning.

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

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Identify common areas where AI/ML is deployed across organizations and recognize the associated information governance risks.
• Assess how AI/ML interacts with Data Protection Principles, records management processes, 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 examples and governance frameworks.
• Collaborative group activities and guided document walkthroughs.

Customization Options

• To request a tailored training session for this course, please reach out to us to arrange it.

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 usage of AI systems within the EU, as well as services provided to EU users.

This instructor-led training, available online or onsite, is designed for beginner-level end users seeking to comprehend their obligations and safe practices under the EU AI Act.

Upon completing this training, participants will be able to:

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

Format of the Course

• 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 organisation’s AI inventory, policies, and reporting channels.

This course is a technical, hands-on programme that shows how to implement engineering controls, observability, and automation required to meet the EU AI Act compliance obligations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to implement secure, auditable pipelines and runtime safeguards to demonstrate compliance with Article 4 and related obligations.

After completing this training, participants will be able to:

• Design CI/CD pipelines that incorporate governance checks and automated tests for prohibited practices.
• Implement logging, monitoring, and audit trails to produce compliance evidence.
• Apply technical mitigations for high-risk behaviours and configure runtime safeguards.
• Prepare technical documentation and artifacts required for conformity assessments and audits.

Format of the Course

• Technical lectures with architecture diagrams and demonstrations.
• Hands-on labs building CI/CD pipelines and monitoring stacks.
• Practical exercises producing documentation and audit artifacts.

Course Customization Options

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

The EU AI Act establishes a regulatory framework intended to guarantee the trustworthy, secure, and transparent implementation of artificial intelligence systems.

This live, instructor-led training session, available online or in-person, is designed for beginner and intermediate managers seeking to grasp the organizational duties, governance standards, and strategic impacts associated with aligning with the EU AI Act.

Upon finishing this course, participants will be equipped to:

• Analyze the EU AI Act's requirements within a managerial framework.
• Identify strategic priorities and investment areas to facilitate compliance.
• Create governance structures, define accountability lines, and implement oversight mechanisms.
• Effectively communicate obligations, risks, and expectations across various business units.

Course Format

• Instructor-led presentations enriched with case studies.
• Collaborative group discussions and scenario-based decision-making exercises.
• Hands-on activities focused on governance planning and documentation.

Customization Options

• The curriculum can be tailored to suit your organization's specific sector, maturity level, and 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.