AI Regulation and Compliance Training in Bratislava

The EU AI Act is a comprehensive regulatory framework that sets out obligations for organisations involved in building, deploying, or overseeing AI systems.

This instructor-led, live training (available online or on-site) is designed for intermediate-level governance, compliance, and risk professionals who wish to develop, evaluate, and maintain AI governance programs in line with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret regulatory requirements and align them with internal controls.
• Develop documentation, governance structures, and compliance processes.
• Evaluate AI risks, monitor systems, and conduct ongoing compliance assessments.
• Prepare the organisation for both internal and external audits under the EU AI Act.

Format of the Course

• Regulatory briefings with practical examples.
• Hands-on exercises for mapping controls and drafting compliance documents.
• Workshop-style activities focused on risk analysis and audit preparation.

Course Customization Options

• This course can be tailored to the organisation’s specific sector, regulatory exposure, and AI maturity level.

The EU AI Act is a regulatory framework designed to ensure the deployment of AI systems is trustworthy, safe, and transparent.

This instructor-led, live training (available online or on-site) is aimed at beginner and intermediate managers who wish to understand their organisational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret the requirements of the EU AI Act 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 different 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 tailored to your organisation’s sector, maturity level, and governance model.

This course is a practical, hands-on programme that demonstrates how to implement engineering controls, observability, and automation necessary to comply with the EU AI Act.

Led by an instructor, this live training (available online or on-site) is designed for intermediate-level IT professionals who want to set up secure, auditable pipelines and runtime safeguards to meet the requirements of Article 4 and related obligations.

After completing this training, participants will be able to:

• Design CI/CD pipelines that include 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 necessary technical documentation and artifacts for conformity assessments and audits.

Format of the Course

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

Course Customization Options

• The content can be adapted to your organization’s toolchain, cloud provider, and internal compliance processes.

The EU AI Act is a regulatory framework that establishes rules for the development, deployment, and use of AI systems within the European Union and for services provided to EU 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 safe practices under the EU AI Act.

Upon completing this training, participants will be able to:

• Identify prohibited AI practices as outlined in Article 4 and recognize examples within workplace systems.
• Follow 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 with straightforward 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.

AI and Machine Learning are rapidly advancing technologies with significant implications for data governance and organizational compliance.

This instructor-led, live training (online or onsite) is designed for intermediate-level governance, privacy, and compliance professionals who want 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:

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Identify common areas where AI/ML is implemented in organizations and the associated IG 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 projects.

Format of the Course

• Interactive lecture and discussion.
• Real-world case studies and framework analysis.
• Group activities and guided document reviews.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Bratislava (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.

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.