ΠΕΡΙΓΡΑΦΗ

With the AI Act coming into force, all organisations that develop, deploy, or use AI systems will need to comply with its requirements and align with emerging European and international standards. This involves understanding risk-based classifications of AI systems, implementing accountability and transparency mechanisms, and integrating ethical and trustworthy AI principles into governance frameworks. 

The Artificial Intelligence Compliance Professional (AICP) programme responds to this growing need by equipping professionals with the knowledge and practical tools to ensure legal and ethical compliance in AI-driven environments. It builds on foundational AI understanding and focuses on translating the complex regulatory framework into practical compliance strategies. Participants will gain the competence to implement, monitor, and improve AI compliance systems within their organisations, ensuring responsible innovation, risk mitigation, and public trust in AI technologies. 

Participants will gain a comprehensive understanding of the AI Act’s risk-based regulatory model, including the classification of AI systems, compliance obligations, and documentation and conformity assessment requirements. 

The AICP programme bridges the gap between policy and practice and will enable participants to translate legal frameworks into operational AI compliance strategies. 

Through a blend of interactive lectures, workshops, and real-world case studies, participants will learn how to develop, implement, and monitor AI compliance systems within their organisations and lead responsibly in the fast-evolving field of AI governance. 

The courses will prepare participants who wish to take the EXIN Artificial Intelligence Compliance Professional (AICP) Certificate examination.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

By the end of the programme, participants will be able to:

At Knowledge Level:

• Describe the purpose, structure, and key provisions of the EU Artificial Intelligence Act (AI Act) and its relevance to organisational compliance.
• List the categories of AI systems under the AI Act according to their associated risk levels (unacceptable, high, limited, and minimal risk).
• Identify the main roles and responsibilities defined in the AI regulatory framework, including those of providers, deployers, importers, and users.
• Name the principal ethical principles and standards underpinning trustworthy and responsible AI practices in the EU and internationally.
• Clarify the relationship between AI compliance and existing data protection, privacy, and risk management obligations, such as those under the GDPR.
• Correlate AI compliance requirements with relevant European and international standards (e.g., ISO/IEC 42001, ISO/IEC 23894, and NIST AI Risk Management Framework).
• Separate the concepts of legal compliance, ethical accountability, and technical conformity as they apply to AI governance.
• Order the key steps involved in preparing an AI compliance programme aligned with regulatory and ethical expectations.

At Skills Level:

• Develop practical approaches to implement and monitor compliance programmes aligned with the EU Artificial Intelligence Act (AI Act).
• Perform conformity and risk assessments for AI systems across different risk categories (unacceptable, high, limited, and minimal).
• Explain the implications of AI-related obligations for various organisational stakeholders, including providers, deployers, and regulators.
• Organise the components of an internal AI compliance framework, integrating policies, procedures, and documentation practices.
• Show how to apply ethical and trustworthy AI principles in real-world decision-making and governance processes.
• Justify compliance and governance decisions by referencing relevant legal, ethical, and technical standards.
• Defend an organisation’s compliance position in response to regulatory audits or stakeholder inquiries through clear reasoning and evidence-based arguments.
• Choose appropriate compliance tools, standards, or frameworks to address specific AI-related risks and organisational needs.

At Attitudes Level:

• Challenge unethical or non-compliant AI practices within their organisation by applying legal and ethical reasoning.
• Defend the importance of responsible and transparent AI deployment as a cornerstone of sustainable innovation and public trust.
• Justify organizational decisions related to AI governance using principles of accountability, fairness, and proportionality.
• Criticise existing AI systems or compliance frameworks to identify weaknesses, biases, or potential regulatory gaps.
• Participate actively in interdisciplinary teams to promote cross-functional understanding and collaboration on AI compliance initiatives.
• Analyse the ethical and societal implications of AI use, balancing technological opportunities with fundamental rights and human oversight.
• Evaluate competing compliance strategies and governance models to select the most effective and context-appropriate approaches.
• Appraise the broader impact of AI regulation on innovation, competitiveness, and public policy within the EU and beyond.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

The EXIN Artificial Intelligence Compliance Professional (AICP) Certificate is essential for professionals seeking to lead or support AI compliance initiatives, including:

• AI Compliance Officers and professionals responsible for ensuring adherence to the EU Artificial Intelligence Act and related regulatory standards.
• Legal and Regulatory Affairs Managers involved in interpreting and applying AI legislation, ethics, and governance frameworks.
• Risk and Quality Managers overseeing compliance and assurance processes in AI development, deployment, or use.
• Data Protection Officers (DPOs) seeking to expand their expertise beyond GDPR into AI governance and data ethics.
• AI Developers, Engineers, and Product Managers who design, test, or implement AI systems and need to understand compliance implications.
• Compliance Analysts and Auditors engaged in monitoring and evaluating AI compliance and risk management processes.
• IT Security Managers ensuring AI systems meet regulatory, technical, and ethical standards of safety, reliability, and transparency.
• Executives and Decision-Makers (C-suite, Operations Managers) responsible for organizational strategy, digital transformation, and regulatory alignment in AI initiatives.
• Consultants and Advisors working in governance, ethics, technology, or legal compliance who wish to support clients in achieving AI regulatory readiness.

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Training Outline

Introduction

• Introduction to the course and the trainer
• Ice-breaker Activity and Introduction of Participants
• Training Objectives and Outcomes

Context of the AI Act

• Purpose, scope, and objectives of the EU AI Act
• Roles and responsibilities of AI actors
• AI risk categories and governance structure

The AI Act in Depth (Part I)

• Key provisions and risk-based approach
• Compliance obligations for high-risk AI systems
• Accountability and transparency mechanisms

Practical Session

• Workshop: Building an AI Compliance Roadmap for an organization
• Peer review and presentation

Trustworthy and Ethical AI

• Principles of ethical AI and human oversight
• Privacy, transparency, and traceability in AI systems
• Relationship between AI compliance and GDPR

Practical Session

• Case study: Applying the AI Act to a high-risk AI system
• Group discussion and feedback

AI Act in Practice

• Implementation challenges in public and private sectors
• Case examples: finance, healthcare, education, and autonomous driving

Frameworks to Support Compliance

• Overview of European and international standards (ISO/IEC 42001, 23894, NIST)
• Integrating AI compliance into governance systems

The AI Act in Depth (Part II)

• Conformity assessments and documentation requirements
• Enforcement, penalties, and regulatory oversight

Ethical and Legal Risk Management

• Balancing innovation with regulatory compliance
• Whistleblowing, accountability, and enforcement mechanisms

Consolidation and Next Steps

• Integration and reflection: linking AI compliance, ethics, and governance
• Exam preparation guidance and Q&A
• Evaluation and closing remarks

Certification and Exam

The exam fee is included in the total course price. If you choose to take the exam at our exam centre you will need to inform us, so we can make necessary arrangements.

EIMF, as an EXIN Accredited Training Provider and Exam Centre, is offering preparation courses and examinations to become a Privacy & Data Protection Professional.

EXIN Anywhere | EXIN Anywhere lets you take the exam for your certification online. This means taking your exam at a time and location convenient to you. So this can be at home, in a meeting room at the office or in any other secluded space where else you feel comfortable. The only conditions are that you have an internet connection, a laptop that meets the requirements and that there is no one else in the room with you. Learn more

• Examination type: Multiple-choice questions
• Number of questions: 40
• Pass mark: 65% (26/40)
• Open book
• Notes: No
• Training mandatory: Yes
• Electronic equipment/aides permitted: No
• Exam duration: 150 minutes
• Level: Advanced
• Exam fee is subject to change at any time at EXIN’s discretion and without prior notice. Accordingly, EIMF will charge candidates based on the applicable fees in effect at the time of registration.”
• Any discount applies only to the course fee (€780).

The Rules and Regulations for EXIN’s examinations apply to this exam.

Download Exam Syllabus from the EXIN Website at https://www.exin.com

Course and exam fees are subject to change at any time at EXIN’s discretion and without prior notice. Accordingly, EIMF will charge candidates based on the applicable fees in effect at the time of registration

CPD Recognition

This programme may be approved for up to 16 CPD units in Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.