AI Compliance (EU AI Act) Certification
Course Outline
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
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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
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