

Course Information

Course Name
EXIN AICP: EXIN AI Compliance Professional

Exam code
EXIN AICP

Duration
2 Days
Certification
Overview
EXIN’s AI Compliance Professional (AICP) is the first certification that directly integrates the EU AI Act, ISO/IEC 42001, and NIST AI RMF into practical, lifecycle-based compliance — ideal for real-world business settings. Designed for professionals who need to implement, audit, and govern AI systems across their entire lifecycle — with ready-to-use templates, checklists, and governance controls. Master AI risk management, data privacy, and responsible AI implementation that customers will trust.
Audience Profile
The target group for the EXIN Artificial Intelligence Compliance Professional certification includes professionals responsible for ensuring adherence to AI regulations within organizations that develop or utilize AI systems, focusing on both compliance oversight and implementation.
This includes, but is not limited to:
- AI compliance officer
- Quality manager
- Risk manager
- Legal manager
- Data protection officer (DPO)
- Product manager
- AI developer/engineer
- Compliance analyst
- IT security manager
- Operations manager
- Managing or C-suite-level executives
Prerequisites
None
At Course Completion
- Solid Foundation, General Understanding of the EU AI Act: Gain a clear overview of the Act’s purpose, scope, classifications, and legal impact — essential for anyone working with AI in regulated environments.
- Deep Regulatory Insight, In-Depth Analysis of the AI Act: Explore the core Articles (especially 8, 9, and 10), risk categorization, prohibited practices, and obligations for high-risk systems — with real-world examples and case studies.
- Building Trustworthy AI: Learn how to embed privacy, data protection, transparency, and traceability into AI system design and governance — turning principles into practice.
- Ethical AI in Action: Understand ethical frameworks and human rights considerations that shape AI development — with a focus on fairness, accountability, and societal impact.
- Practical Application, How to Comply with the AI Act: Move beyond theory. Discover step-by-step implementation strategies for compliance in both public and private sector organizations — with tools you can use immediately.
- Frameworks for Real Compliance: Master the application of ISO/IEC 42001, ISO 23894, NIST AI RMF, GDPR, and EU AI Ethics guidelines — integrated into a lifecycle-based approach to responsible AI.
These topics ensure comprehensive knowledge of legal, ethical, and practical compliance in AI.
Course Outline
Overview
Overview
EXIN’s AI Compliance Professional (AICP) is the first certification that directly integrates the EU AI Act, ISO/IEC 42001, and NIST AI RMF into practical, lifecycle-based compliance — ideal for real-world business settings. Designed for professionals who need to implement, audit, and govern AI systems across their entire lifecycle — with ready-to-use templates, checklists, and governance controls. Master AI risk management, data privacy, and responsible AI implementation that customers will trust.
Audience Profile
Audience Profile
The target group for the EXIN Artificial Intelligence Compliance Professional certification includes professionals responsible for ensuring adherence to AI regulations within organizations that develop or utilize AI systems, focusing on both compliance oversight and implementation.
This includes, but is not limited to:
- AI compliance officer
- Quality manager
- Risk manager
- Legal manager
- Data protection officer (DPO)
- Product manager
- AI developer/engineer
- Compliance analyst
- IT security manager
- Operations manager
- Managing or C-suite-level executives
Prerequisities
Prerequisites
None
At Course Completion
At Course Completion
- Solid Foundation, General Understanding of the EU AI Act: Gain a clear overview of the Act’s purpose, scope, classifications, and legal impact — essential for anyone working with AI in regulated environments.
- Deep Regulatory Insight, In-Depth Analysis of the AI Act: Explore the core Articles (especially 8, 9, and 10), risk categorization, prohibited practices, and obligations for high-risk systems — with real-world examples and case studies.
- Building Trustworthy AI: Learn how to embed privacy, data protection, transparency, and traceability into AI system design and governance — turning principles into practice.
- Ethical AI in Action: Understand ethical frameworks and human rights considerations that shape AI development — with a focus on fairness, accountability, and societal impact.
- Practical Application, How to Comply with the AI Act: Move beyond theory. Discover step-by-step implementation strategies for compliance in both public and private sector organizations — with tools you can use immediately.
- Frameworks for Real Compliance: Master the application of ISO/IEC 42001, ISO 23894, NIST AI RMF, GDPR, and EU AI Ethics guidelines — integrated into a lifecycle-based approach to responsible AI.
These topics ensure comprehensive knowledge of legal, ethical, and practical compliance in AI.
