AI Act, Law & Governance Training Course Overview
The AI Act, Law & Governance Training course provides a structured introduction to artificial intelligence governance, legal responsibilities, privacy considerations, risk management, and organizational controls. The course is designed around core workplace needs, including responsible AI use, EU AI Act awareness, France’s AI governance environment, provider and user responsibilities, GDPR and CNIL expectations, AI risk documentation, human oversight, internal governance policies, and practical tools such as risk registers, audit logs, model cards, DPIA templates, and incident reporting protocols.
Artificial intelligence is increasingly used in business operations, compliance functions, HR processes, customer service, financial services, healthcare, education, technology, and public-sector activities. As AI systems become more embedded in decision-making and operational workflows, professionals need a clear understanding of how to manage AI responsibly, document risks, apply oversight, support data protection, and align internal practices with emerging governance expectations. This training helps learners understand how AI governance connects with legal compliance, ethical use, privacy protection, accountability, and operational risk control.
For organizations, AI governance training supports more informed decision-making, stronger compliance awareness, and better internal coordination between legal, compliance, IT, data protection, risk, and operational teams. The course helps participants understand key AI governance challenges such as high-risk AI controls, bias and data quality, cross-border data transfers, third-party AI risks, generative AI governance, and alignment with recognized standards including ISO, OECD, and NIST frameworks. By completing this course, learners gain a practical foundation for contributing to responsible AI governance in modern professional environments.
What Topics Does This AI Act, Law & Governance Training Course Cover?
This course covers the main legal, governance, privacy, risk, and operational themes needed to understand responsible AI management in professional environments.
- AI governance fundamentals and responsible AI use
- EU AI Act overview
- France AI governance bodies
- Provider and user responsibilities
- GDPR and CNIL guidelines
- AI risk documentation
- Bias and data quality controls
- Cross-border data transfers
- AI system inventory
- High-risk AI controls
- Human oversight requirements
- Internal AI governance policies
- AI literacy training
- Risk registers and audit logs
- Model cards and DPIA templates
- Incident reporting protocols
- French AI governance best practices
- Third-party AI risk challenges
- ISO, OECD, and NIST standards
- Generative AI and future innovation
What you'll learn
Why Choose Us
Who is this course for
Requirements
Certification