EU AI Act in Practice

Management, CIO/CDO office, AI/ML teams, legal department, compliance, risk management, data governance teams, enterprise architects and product managers.

After completing the course, you will be able to:
• explain the basic principles of the EU AI Act
• classify AI systems by risk
• identify an organisation’s obligations
• prepare an AI governance model
• draft a roadmap for compliance readiness

You will take away:
• an AI risk classification template
• an AI inventory template
• an AI governance checklist
• a basic AI governance operating model
• a draft roadmap for AI Act readiness

50% theory, 50% workshops and discussion of real-world use cases.

1. Introduction to the EU AI Act
• Why the AI Act was introduced
• AI regulation in the EU
• Relationship to the GDPR, NIS2 and the Data Act

2. The risk-based approach
• Prohibited AI systems
• High-risk AI systems
• Limited-risk and minimal-risk AI systems
• Generative AI and foundation models

3. Obligations of organisations
• Obligations of providers
• Obligations of deployers
• Transparency requirements
• Documentation and auditability

4. AI governance in the organisation
• AI policy
• AI inventory
• AI risk management
• Roles and responsibilities
• AI governance committee

5. Practical workshop
• Identifying AI use cases in the organisation
• Classification under the AI Act
• Designing compliance measures

6. How to prepare your organisation
• Gap assessment
• Governance roadmap
• AI literacy programme
• Vendor management
• Third-party AI risk

7. Recommended tools and frameworks
• Microsoft Purview
• Model cards
• AI risk register
• NIST AI RMF
• ISO/IEC 42001

Previous courses

Úvod do Data Governance [GOC671]

Data Governance - Úvod do řízení dat v organizaci [GOC672]

Data Governance - Pokročilé strategické řízení dat v organizaci [GOC673]

Next courses

Implementing AI Governance in an Enterprise Environment [GOC676]