AI Governance Professional (Certification Role)

Description

• Course ID:
  • IC-805-E-23
• Content: The AI Governance Professional is responsible for establishing, implementing, and maintaining governance frameworks for AI systems. They ensure that AI solutions comply with regulatory requirements, organizational policies, and risk management standards while supporting responsible and trustworthy AI adoption.
  • The course covers the following topics:
    • Designing an AI Governance Architecture
    • Practical Implementation of the EU AI Act
    • Applied AI Risk Management
    • AI System Lifecycle Governance
    • Documentation and Evidence Management
    • Governance Controls and Monitoring
    • Audit and Compliance Preparation
    • Integration with Relevant Standards
  • Practical exercises include:
    • Governance Case Study (main assignment)
    • System Review Exercise
    • Mock Audit Simulation
• Prerequisites:
  • Required:
    • IC-805-G-01 – Understanding and Safely Applying AI
    • IC-805-G-08 – Regulated AI, Safety & Governance
  • Recommended:
    • IC-805-G-04 – Developing and Integrating AI Systems, or
    • IC-805-G-05 – RAG & Enterprise AI Systems
    • Experience in governance, compliance, or IT risk management is beneficial.
• Certification Requirement:
  • Proof of attendance of the course and/or prerequisite course(s), or evidence of otherwise acquired equivalent knowledge + Successful completion of the examination + At least 2 years of professional experience in the relevant field
• Conduction Method:
  • Online (For on-site or in-house training, please send us a request via our contact form (Contact - intellcert). We will get in touch with you shortly thereafter.)
• Language:
  • English
• Target  Audience:
  • Compliance and Governance Professionals
  • Quality Assurance and Regulatory Affairs (QA/RA) Professionals
  • Risk Managers
  • AI Project Managers in Regulated Industries
  • Internal and External Auditors
  • Data Protection and Information Security Officers
  • AI Architects with Governance Responsibilities
  • IT Governance and CISO-related Roles
• Learning Objectives:
  • Participants will be able to:
    • Assess AI systems against regulatory requirements
    • Operationalize EU AI Act requirements within organizations
    • Apply AI risk management frameworks in practice
    • Establish governance structures for AI within an organization
    • Design audit and evidence management systems for AI
    • Assess risks related to bias, fairness, robustness, and other AI-specific concerns
    • Analyze AI systems from a compliance and control perspective
• Note:
  • Displayed price excl. VAT