In this two-day training course, you’ll prepare for the EXIN Artificial Intelligence Compliance Professional (AICP) certification exam, the first globally recognized certification that integrates the EU AI Act, ISO/IEC 42001, and the NIST AI Risk Management Framework into a practical, lifecycle-based approach to AI compliance. You’ll learn not only what the law requires, but also how to actually implement AI compliance: from risk classification and conformity assessment to governance, ethics, and documentation. You’ll leave the training with immediately applicable checklists, templates, and governance frameworks, and you’ll be fully prepared for the AICP exam.

What you learn

• The EU AI Act: Purpose, Scope, Risk Categories, and Legal Impact on Your Organization.
• In-depth analysis of the AI Act: Articles 8, 9, and 10 (obligations for high-risk AI systems).
• Prohibited AI applications and risk categories: what is allowed and what is strictly prohibited.
• Obligations for providers versus users (deployers) of AI systems.
• Building trustworthy AI: privacy, data transparency, traceability, and human oversight.
• Ethical AI frameworks: fairness, accountability, and human rights in AI development.
• International standards: ISO/IEC 42001, ISO 23894, NIST AI RMF, and the GDPR in conjunction.
• AI lifecycle compliance: governance actions from design to decommissioning.
• Conformity assessment, technical documentation, and ready-to-use governance templates.
• Practical assignments as part of AICP exam preparation.

Contents (General Program)

Day 1 – Regulation & Risk Classification

Part 1 – Introduction to the EU AI Act

• Overview of the purpose, scope, risk classes, and legal impact of the entire regulatory framework.

Part 2 – In-depth analysis of the AI Act

• Articles 8, 9, and 10: obligations for high-risk AI systems, prohibited uses, and case studies.

Part 3 – Obligations for Providers and Users

• Who is a provider, who is a deployer, and what responsibilities apply to whom?

Part 4 – Ethical AI and Human Rights

• Ethical frameworks, principles of fairness, and the societal impact of AI systems.

Day 2 – Governance, Standards & Exam Preparation

Part 5 – Building Trustworthy AI

• Embedding privacy, data transparency, traceability, and human oversight into AI governance.

Part 6 – International Standards in Context

• ISO/IEC 42001, ISO 23894, NIST AI RMF, and GDPR: How do these relate to the EU AI Act?

Part 7 – AI Lifecycle Compliance & Governance Tools

• Conformity assessment, technical documentation, checklists, and ready-to-use templates.

Part 8 – Practical Assignments & Exam Preparation

• Mandatory practical assignments, practice questions, common mistakes, and personal action items.

• Compliance officers, legal professionals, and auditors who need to assess AI systems.
• Privacy officers, data protection officers (DPOs), and data protection officials (FGs) who want to manage AI risks.
• IT and data professionals responsible for developing or managing AI systems.
• AI leads, risk managers, and quality managers in AI-driven organizations.
• Anyone who wants to earn an internationally recognized certification in the field of AI compliance.

Prerequisites

• No formal prior knowledge is required.
• A basic understanding of AI concepts (e.g., through EXIN BCS AI Essentials or Foundation) is strongly recommended.
• Familiarity with compliance or privacy issues (such as the GDPR) is a plus.