AI Compliance Officer Training Course Overview
AI Compliance Officer Training provides a structured introduction to the responsibilities, knowledge areas, and governance practices required to support responsible AI use within organizations. The course covers AI compliance foundations, AI governance principles, AI risk fundamentals, the European AI regulatory landscape, and key compliance expectations connected to the EU AI Act, GDPR, CNIL requirements, and French digital laws. It is designed to help participants understand how AI systems create regulatory, ethical, operational, and data protection challenges in modern workplaces.
As artificial intelligence becomes increasingly embedded in business processes, organizations need professionals who can assess AI-related risks, support governance frameworks, manage documentation expectations, and contribute to a culture of responsible AI. This AI Compliance Officer Training helps learners understand how compliance responsibilities apply across the AI lifecycle, from risk assessment and data governance to transparency controls, bias management, auditing, vendor oversight, and general-purpose AI compliance considerations.
The course is especially relevant for professionals working in compliance, risk management, data protection, governance, legal operations, technology oversight, and organizational leadership. It supports workplace readiness by helping participants connect regulatory obligations with practical compliance operations. Through its curriculum, learners gain a strong foundation in AI governance, responsible AI management, technical documentation, fundamental rights considerations, and the development of AI compliance programs that align with organizational accountability.
What Topics Does This AI Compliance Officer Training Course Cover?
This AI Compliance Officer Training course covers the main governance, regulatory, risk, and operational themes required to understand AI compliance responsibilities in a professional setting.
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AI compliance roles and responsibilities
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AI governance principles
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AI risk fundamentals
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European AI regulatory landscape
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EU AI Act compliance concepts
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GDPR compliance in AI-related contexts
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CNIL requirements and French digital law considerations
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AI risk assessment
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Bias, fairness, and responsible AI controls
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Transparency and fundamental rights considerations
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AI governance frameworks
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Data governance for AI systems
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AI auditing and technical documentation
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AI compliance program management
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Vendor oversight
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GPAI compliance
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Building an AI compliance culture
What you'll learn
Why Choose Us
Who is this course for
Requirements
Certification
Career Path
Course Curriculum
Module 1 : Fondements de la conformité de l’IA
- 1.1 Rôles en matière de conformité de l’IA
- 1.2 Principes de gouvernance de l’IA
- 1.3 Fondamentaux du risque lié à l’IA
- 1.4 Paysage européen de l’IA
Module 2 : Conformité réglementaire de l’IA
- 2.1 EU AI Act
- 2.2 Conformité au RGPD
- 2.3 Exigences de la CNIL
- 2.4 Lois numériques françaises
Module 3 : Gestion responsable de l’IA
- 3.1 Évaluation des risques liés à l’IA
- 3.2 Biais et équité
- 3.3 Contrôles de transparence
- 3.4 Droits fondamentaux
Module 4 : Opérations de conformité de l’IA
- 4.1 Cadres de gouvernance
- 4.2 Gouvernance des données
- 4.3 Audit de l’IA
- 4.4 Documentation technique
Module 5 : Leadership avancé en conformité de l’IA
- 5.1 Programmes de conformité
- 5.2 Supervision des fournisseurs
- 5.3 Conformité des GPAI (IA à usage général)
- 5.4 Culture de conformité