AI Auditing & Governance Course | EU AI Act (Spain)
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Overview
What if one AI mistake exposed your business to millions? That risk matters because EU AI Act fines reach €35 million. Moreover, serious breaches can cost 7% of global turnover. Meanwhile, other violations may trigger €15 million or 3%. Since August 2026, major AI Act rules already apply.
Therefore, auditors and compliance teams need practical governance skills now. So, master AI audits and build stronger compliant frameworks confidently.
Learning Outcomes
Certification Information
Curriculum
1
Module 1 - Foundations of AI Governance and the EU AI Act
- 1.1 Fundamentals of Artificial Intelligence, Machine Learning, and Generative AI
- 1.2 Principles of AI Governance, Accountability, and Responsible AI
- 1.3 Regulation (EU) 2024/1689: Structure, Scope, and Key Definitions
- 1.4 Risk-Based Classification of AI Systems: Prohibited, High-Risk, Limited-Risk, and Minimal-Risk
2
Module 2 - Legal, Regulatory, and Compliance Frameworks for AI Systems
- 2.1 EU AI Act Obligations for Providers, Deployers, Importers, and Distributors
- 2.2 GDPR, Data Protection, and Privacy Compliance in AI Systems
- 2.3 Spain's National AI Governance Framework, AESIA, and Enforcement Structures
- 2.4 Transparency, Human Oversight, Documentation, and Recordkeeping Requirements
3
Module 3 - AI Risk Management, Controls, and Internal Governance
- 3.1 AI Risk Identification, Assessment, and Fundamental Rights Impact Analysis
- 3.2 Governance Structures: AI Committees, Compliance Officers, and Board Oversight
- 3.3 Vendor Risk, Third-Party AI Systems, and Procurement Due Diligence
- 3.4 Internal Policies, Incident Reporting, Escalation Models, and Continuous Monitoring
4
Module 4 - AI Auditing, Assurance, and Conformity Readiness
- 4.1 Internal Audit Methodologies for AI Systems and Governance Reviews
- 4.2 Technical Documentation, Model Cards, Data Sheets, and Audit Evidence Preparation
- 4.3 Conformity Assessment, High-Risk AI System Controls, and Regulatory Inspection Readiness
- 4.4 Audit Testing for Bias, Explainability, Robustness, Cybersecurity, and Human Oversight
5
Module 5 - ISO Standards, Cybersecurity, and Operational Compliance
- 5.1 ISO/IEC 42001 AI Management Systems and Governance Frameworks
- 5.2 ISO 31000, NIST AI RMF, and Enterprise Risk Alignment for AI Compliance
- 5.3 ENISA Guidance, AI Cybersecurity Controls, and Incident Response Planning
- 5.4 MLOps Governance, Model Lifecycle Controls, and Secure AI Operations
6
Final Exam
- Final Exam - AI Auditing
7