AI Regulation and Compliance Training in Patras

The European Union's AI Act introduces a robust regulatory framework outlining the responsibilities for entities that develop, deploy, or manage AI systems.

This instructor-led live training session, available either online or in-person, is designed for governance, compliance, and risk professionals at an intermediate level. It aims to help participants establish, assess, and sustain AI governance programmes that comply with the EU AI Act.

Upon completing this course, attendees will be equipped to:

• Decode regulatory requirements and align them with internal control measures.
• Create necessary documentation, governance structures, and compliant workflows.
• Evaluate AI risks, oversee systems, and conduct regular compliance reviews.
• Ensure the organisation is prepared for both internal and external audits mandated by the EU AI Act.

Course Structure

• Regulatory updates supported by practical, real-world case studies.
• Practical exercises focused on mapping controls and drafting compliance documentation.
• Interactive workshop segments dedicated to risk analysis and audit readiness.

Customisation Possibilities

• The curriculum can be tailored to suit the specific industry, regulatory landscape, and AI maturity stage of your organisation.

The EU AI Act establishes a regulatory framework aimed at guaranteeing the trustworthy, secure, and transparent implementation of AI systems.

This instructor-led training, available online or onsite, is designed for managers at beginner and intermediate levels who seek to comprehend the organisational duties, governance standards, and strategic consequences associated with aligning with the EU AI Act.

Upon finishing this course, participants will be capable of:

• Interpreting the EU AI Act's requirements within a managerial context.
• Defining strategic priorities and investment zones to facilitate compliance.
• Setting up governance structures, clear accountability lines, and oversight mechanisms.
• Communicating obligations, risks, and expectations across various business units.

Course Format

• Instructor-led presentations reinforced by case studies.
• Group discussions and scenario-based decision-making exercises.
• Practical exercises concentrating on governance planning and documentation.

Customization Options

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

This technical, practical program demonstrates how to implement the engineering controls, observability, and automation necessary to fulfill EU AI Act compliance obligations.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT professionals seeking to establish secure, auditable pipelines and runtime safeguards that demonstrate compliance with Article 4 and related requirements.

Upon completing this training, participants will be equipped 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.

Course Format

• Technical lectures supported by 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.

Customization Options

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

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

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

• Identify prohibited AI practices under Article 4 and recognise examples in workplace systems.
• Follow 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.

Artificial Intelligence (AI) and Machine Learning (ML) are technologies advancing at a rapid pace, carrying substantial implications for data governance and organizational compliance.

This live, instructor-led training (available online or onsite) is designed for intermediate-level governance, privacy, and compliance professionals seeking to learn 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 typical deployment areas of AI/ML within organizations and the associated information governance risks.
• Assess how AI/ML interacts 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 discussions.
• Analysis of real-world case examples and frameworks.
• Group activities and guided walkthroughs of documentation.

Course Customization Options

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

This instructor-led, live training in Patras (online or on-site) is designed for intermediate-level AI professionals, business leaders, and compliance officers seeking 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.

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

• Grasp the fundamental principles of responsible AI, encompassing fairness, accountability, and transparency.
• Detect and address biases present in AI systems.
• Deploy ethical frameworks and perform AI audits to ensure compliance.
• Utilize governance strategies to manage ethical risks associated with AI deployment.

Delegates will learn how to

• Utilize AIGP training to develop, integrate, and deploy trustworthy AI systems in alignment 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 key 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.
• Apply critical AI governance concepts that are integral to the AIGP certification exam. While this training is not solely a 'test prep' course, it is appropriate for professionals planning to certify, as well as those wishing to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.

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

• Master enterprise prompt architecture across six 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 that is validated, shared, and governed by all teams.
• Define sustainable governance, including the Prompt Curator role, naming conventions, versioning, and quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, and a 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.