EXIN Artificial Intelligence Compliance Professional
Become the go-to expert in AI compliance. In just two days, gain the tools and insights needed to align AI with legal, ethical, and operational standards.
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Category
Artificial Intelligence (AI)
Certificate
EXIN Artificial Intelligence Compliance Professional
Level
Advanced
A Smart Choice for Serious AI Governance
This isn’t just another box-ticking certification. The EXIN AI Compliance Professional program is designed for professionals who must lead, enforce, or verify compliance with AI laws, policies, and standards across real-world operations.
From interpreting the EU AI Act to applying ISO/IEC 42001 and NIST AI RMF across lifecycles, this certification provides more than theory—it gives you tools, checklists, and templates you can apply right away.
Who Should Take This Course
- Compliance professionals and legal teams handling AI oversight
- Quality, risk, and data protection officers
- Engineers, developers, and product leads working on AI systems
- Managers guiding AI adoption and responsible innovation
- Anyone tasked with AI system lifecycle governance—from design to decommission
What You Will Learn
- Understanding the EU AI Act: Purpose, scope, classifications, and legal implications for AI in regulated sectors.
- Key Regulatory Insights: Deep dive into Articles 8, 9, and 10, risk categories, prohibited practices, and high-risk system requirements.
- Trustworthy AI Design: How to integrate privacy, transparency, and accountability into AI systems.
- Ethical & Human-Centric AI: Applying fairness, ethics, and human rights in AI development.
- Compliance in Practice: Actionable strategies, tools, and real-world steps for meeting AI Act requirements.
- Supporting Frameworks: Using ISO/IEC 42001, ISO 23894, NIST AI RMF, GDPR, and EU Ethics Guidelines in AI governance.
This certification ensures a strong foundation in legal, ethical, and practical compliance for responsible AI.
Why This Certification Matters
Unlike most certifications, this one teaches you how to use compliance frameworks across the entire AI lifecycle—from development to deployment and beyond. You leave with more than a certificate. You leave with a toolkit for real-world success.
Ready to Lead AI Compliance?
If your company builds, buys, or manages AI, this is the certification that equips you to keep it legal, ethical, and defensible.
Duration
2-days
Course Delivery
Classroom or Virtual Classroom
What’s included
- Training workbook containing all of the presentation materials, course notes and sample exams.
- Exam voucher
- Free refresher course**
Prerequisites
- Involves practical assignments
- EXIN Artificial Intelligence Essentials or EXIN BCS Artificial Intelligence Foundation is highly recommended.
About the Examination
Candidates must complete the Practical Assignments in order to take the exam.
- Practical Assignments:
- 3 group assignments (2 hours, 1.5 hours, 2 hours)
- Pass mark: at least 7 of 11 criteria (65%) cumulatively.
- Individual performance assessed
- Exam:
- Format: Closed-book, multiple-choice.
- Number of Questions: 40.
- Duration: 90 minutes.
- Pass Mark: 65%.
Exam Body
EXIN
** Terms & conditions applied.
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What our clients say
Concepts Covered
Context Of The AI Act
- Purpose and scope
- Objectives and scope of the AI Act
- Roles defined in the AI Act
- Purpose and scope
AI Act in Depth
- Key provisions
- Classification of AI systems by risk level
- Requirements for high-risk AI systems
- Governance and oversight for AI systems
- Risks and regulations
- Balancing innovation and regulation
- General-purpose AI, systemic risks, and code of practices
- Implications for intellectual property
- Benefits and drawbacks of open-source vs. closed-source models
- AI-provider obligations (conformity assessments, documentation, notification)
- Compliance and enforcement
- Implications of accountability and compliance
- Process of incident reporting and response
- Importance of whistleblowers
- Penalties for different types of non-compliance
- AI-user obligations (intended use, monitoring, issue reporting)
- Key provisions
Trustworthy AI
- Privacy and data protection
- Importance of data protection and privacy
- Application of GDPR principles
- Data minimization and implications in AI systems
- Transparency and Traceability
- Importance of transparency in AI systems
- Role of transparency in fostering public trust in AI systems
- Traceability in AI systems
- Privacy and data protection
Ethical AI
- Principles and Guidelines
- Key ethical principles in AI development
- Interpreting AI Act’s ethical deployment guidelines in practical scenarios
- Human Rights
- Human rights considerations and oversight in AI systems
- Rights of individuals through fundamental rights impact assessments
- Principles and Guidelines
AI Act in Practice
- AI in the Public Sector
- Risks of introducing AI systems in public domains: public decision making, crime prosecution, elections
- AI in the Private Sector
- Sector-specific impacts in private industries: finance, healthcare, education, employment, transportation, advertising, and tourism
- AI in the Public Sector
Frameworks to Support Compliance
- European standards (e.g., CEN/CLC/TR 18115) for data governance
- International standards:
- ISO/IEC 42001 for AI management systems
- ISO/IEC 23894 for AI risk management
- NIST AI Risk Management Framework
- ISO/IEC TR 24368 for ethical AI considerations
Training Schedules
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