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Certified Artificial Intelligence Compliance Professional (CAICP) Meirc Plus Speciality Training

Certified Artificial Intelligence Compliance Professional (CAICP)

Why Attend

In today’s business environment, incorporating Artificial Intelligence (AI) into operations requires a solid understanding of AI compliance. The European Union’s (EU) Artificial Intelligence Act provides a regulatory framework to ensure AI technologies are used safely and responsibly. As the first comprehensive legislation of its kind, the EU Artificial Intelligence Act is rapidly becoming a global benchmark for the ethical and responsible use of AI. While businesses and governments in the MENA region are not legally bound to comply with the AI Act, understanding its principles and frameworks offers critical strategic advantages. Compliance with the AI Act helps businesses manage risks, protect consumer rights, and foster the trust and transparency necessary for long-term growth. This goes beyond merely following rules; it involves taking the lead in ethical innovation and setting new industry standards.

The EXIN Artificial Intelligence Compliance Professional certification offers a pathway to leadership in this increasingly important field. It is designed for professionals responsible for ensuring that AI systems meet legal and ethical standards. This certification delivers a comprehensive understanding of the AI Act, supports the development of trustworthy and ethical AI, and illustrates how to apply AI regulations in practical situations.

For professionals in roles such as AI compliance officer, quality manager, or risk manager, and for professional looking to emerge as AI leaders within their organization or industry, this certification provides the skills needed to navigate the complex landscape of AI compliance. This expertise is becoming crucial within organizations, specifically promoting responsible AI practices and steering companies toward a future marked by innovation and success. In a world where AI represents the future, mastering its responsible use is not just an asset, it is a vital opportunity to make a significant impact. 

Meirc Plus Speciality Training
Associations
Associations
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Overview
Course Methodology

This is an interactive course that utilizes group discussions, team-based practical exercises, presentations and mock exams. 

Course Objectives

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

  • Describe how AI systems can be categorized based on their risk levels and outline the implications of each category
  • Apply data protection principles to assess the privacy impact of an AI system in a given scenario
  • Analyze the trade-offs between innovation and regulation when developing or deploying AI technologies
  • Evaluate the ethical considerations of using AI in high-stakes sectors such as healthcare, justice, or education
  • Compare various European and international standards (e.g., ISO/IEC 42001, CEN/CLC/TR 18115, NIST) that guide responsible and compliant AI development and usage
Target Audience

The target group for the EXIN Artificial Intelligence Compliance Professional certification includes professionals responsible for ensuring adherence to AI regulations. This includes, but is not limited to; compliance, risk, legal, data protection, AI development, IT Security and C-Suite professionals.

Target Competencies
  • Compliance Management
  • Risk Management
  • Legal Compliance
  • AI Development
  • Regulation Compliance
Note

This course is certified by EXIN, a leading global certification body. Participants will have the opportunity to obtain the EXIN Artificial Intelligence Compliance Professional certification, through an exam taken in their own time, demonstrating their proficiency in AI compliance and readiness to spearhead AI governance in their organizations.

Course Outline
  • Context of the Artificial Intelligence (AI) Act
    • Purpose and Scope
      • Overview of the objectives behind the AI Act
      • Scope and applicability of the regulation
      • Roles and responsibilities defined under the Act
  • AI Act in Depth
    • Key Provisions
      • Classification of AI systems by risk level: unacceptable, high, limited, minimal
      • Requirements and obligations for high-risk AI systems
      • Governance structures and regulatory oversight
  • Risks and Regulations
    • Balancing innovation with regulation
    • General-purpose AI, systemic risks, and codes of practice
    • Intellectual property considerations in the AI landscape
    • Open-source vs. closed-source models: regulatory implications
    • Obligations for AI providers, including assessments and documentation
  • Compliance and Enforcement
    • Accountability mechanisms and compliance structures
    • Incident reporting procedures and response frameworks
    • Role of whistleblowers in AI governance
    • Penalties and consequences for non-compliance
    • User responsibilities for safe and compliant AI usage
  • Trustworthy AI
    • Privacy and Data Protection
      • The role of data management and privacy in AI
      • Applying GDPR principles to AI scenarios
      • Data minimization and its impact on AI systems
    • Transparency and Traceability
      • Importance of transparency in AI development and deployment
      • Public trust and the role of explainable AI
      • Mechanisms to ensure traceability in AI decision-making
  • Ethical AI
    • Principles and Guidelines
      • Ethical foundations in AI development
      • Practical application of ethical guidelines in real-world scenarios
  • Human Rights
    • Ensuring human oversight in AI processes
    • Understanding the rights of individuals affected by AI systems
  • AI Act in Practice
    • AI in the Public Sector
      • Risks and challenges of deploying AI in public decision-making, law enforcement, and elections
  • AI in the Private Sector
    • Sector-specific impacts of AI regulation:
      • Finance and insurance
      • Healthcare
      • Employment and education
      • Autonomous vehicles
      • Advertising and tourism
  • Frameworks to Support Compliance
    • European Standards
      • Role of CEN/CLC/TR 18115 in supporting compliant data governance
    • International Standards
      • Overview of ISO/IEC 42001 and the NIST framework for responsible AI
      • ISO/IEC 23894 for AI risk management practices
      • Ethical considerations in ISO/IEC TR 24368
Associations
Associations
EXIN

EXIN are a leading provider of ICT certifications globally. EXIN has supported professionals with several IT standards including ITIL®, PRINCE2® and ISPL. Currently, EXIN focuses on responding to modern market trends with certifications such as AgileScrum, DevOps, SIAM, VeriSM, Security, as well as, technologies including AI and Blockchain.
EXIN has certified nearly 3 million people around the globe. They support professionals in 165+ countries and 20+ languages.

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Schedule & Fees
2025 Schedule & Fees
Per participant
  • 1 - 4 Dec, 2025
  • English
  • Dubai
  • The Heritage Hotel, Autograph Collection
2026 Schedule & Fees
Per participant
  • 2 - 5 Feb, 2026
  • English
  • Dubai
  • Venue to be assigned
Per participant
  • 27 - 30 Jul, 2026
  • English
  • Dubai
  • Venue to be assigned
Per participant
  • 16 - 19 Nov, 2026
  • English
  • Dubai
  • Venue to be assigned
Fees + VAT as applicable (including coffee breaks and a buffet lunch daily) Discount Plans & Cancellations Policy

Meirc reserves the right to alter dates, content, venue, trainer, and to offer courses in an integrated virtual learning (IVL) format whereby face to face classroom participants and virtual learners participate simultaneously in the same course in an interactive learning experience.

Tax Registration Number: 100239834300003

Virtual Learning
Course Contact
Alissar N.
+971 56 682 4136
[email protected]
Contact me if you have any questions.
I speak English & Arabic!