AI Compliance (EU AI Act) Certification
Course 1289
3 DAY COURSE

The A4Q AI Compliance certification (Certified Professional for AI Compliance – EU AI Act) validates essential knowledge and practical competencies required to interpret, apply, and evidence compliance with the EU AI Act across the full AI system lifecycle. The certification confirms a comprehensive understanding of the Act’s core requirements, including risk-based classification, governance, documentation, transparency, and audit readiness - key capabilities for responsible and compliant AI deployment.

Certificate holders demonstrate their ability to classify AI systems by risk level, apply high-risk obligations, support FRIA processes, contribute to post-market monitoring, and align AI governance with ISO/IEC 42001, ISO/IEC 23894, and relevant international frameworks. The certification also reflects an understanding of the global regulatory context influencing AI deployment in international environments.

AI Compliance (EU AI Act) Certification Benefits

• Course Benefits

  For Individuals:

  • Gain an internationally recognized certification in AI compliance
  • Demonstrate understanding of AI compliance principles applicable across industries
  • Learn how to interpret and apply AI regulatory frameworks and standards
  • Build awareness of organizational processes and technology relevant to AI governance
  • Prepare to contribute to AI compliance initiatives within your team or organization

  For Organizations:

  • Equip teams with a shared understanding of AI compliance requirements
  • Support adherence to regulatory frameworks, including AI-specific compliance guidelines
  • Facilitate responsible adoption of AI technologies in line with organizational policies
  • Strengthen internal capabilities to manage AI governance and compliance without sole reliance on external consultants
  • Prepare staff to participate in AI risk management, audits, and policy implementation

  Prerequisites

  There are no prerequisites. The certification is accessible to both technical and non-technical professionals. A general interest in AI, governance, regulation, or digital transformation is helpful but not required.

EU AI Act Compliance Certification Course Outline

Learning Objectives

Module 1: Introduction to AI Compliance & the EU AI Act

• What Is Artificial Intelligence in the Regulatory Context
• Overview of the EU AI Act
• Implementation Timeline (2024 – 2027)
• Key Statement

Module 2: Risk-Based Approach & Classification

• Fundamental Principle of the Risk-Based Approach
• Annex III – Automatically High-Risk AI Systems
• Criteria for Risk Classification
• Obligations and Measures by Risk Level
• Risk Dynamics and Re-Assessments
• Risk-Based Prioritization of Measures

Model 3: Global and Sectoral Regulatory Landscape

• Global AI Regulation: Status and Trends
• Comparison: EU AI Act ↔ International Regulations
• Sectoral AI Regulation and Interfaces
• Harmonization and Strategies for Global AI Projects

Model 4: Prohibited AI Practices (Art. 5 EU AI Act)

• Overview of Prohibited Practices
• Legal and Fundamental Rights Basis
• Exceptions under Article 5(2)–(3)
• Practical Awareness Measures

Model 5: High-Risk AI Systems and Obligations (Arts. 6–51 EU AI Act)

• Identification of High-Risk AI Systems
• Core Obligations for High-Risk AI Systems
• Implementation within Organizations
• Documentation and Evidence Obligations (Audit Readiness)
• Example – Applying High-Risk AI Obligations in Practice

Module 12: Risk Management and Quality Management Systems

• Core Principles of AI Risk Management
• The Risk Management Cycle According to ISO/IEC 23894 and the EU AI Act
• Integration into Existing Management Systems
• Documentation and Evidence Obligations
• Governance, Roles, and Responsibilities
• Importance of Integration for Compliance and Quality

Module 13: Conformity Assessment and CE Marking

• Fundamentals of Conformity Assessment (Art. 43 EU AI Act)
• Contents of the Technical Documentation (Articles 11 & Annex IV)
• CE Marking Procedure (Article 49 EU AI Act)
• Role of Notified Bodies
• Registration in the EU Database for High-Risk AI Systems (Article 71)
• Handling of Substantial Modifications (Article 43(4))
• Link to Quality and Management Systems
• Practical Example: Conformity Route of an HR Screening Tool

Module 14: Transparency Obligations for Limited-Risk Systems (Art. 52 EU AI Act)

• Article 52 EU AI Act – Transparency Obligations
• Application Areas and Labeling Obligations
• Design Recommendations for Interfaces and Labeling
• Organizational Implementation in Companies