Global Knowledge

AAIA - Advanced in AI Audit Certification Prep

Prepare to audit, govern, and manage AI systems with confidence through ISACA’s AAIA certification prep.

GK #840110Virtual Classroom Live
FormatsVirtual Classroom LiveTopicsAI & machine learning · Cybersecurity

What you’ll learn

Domain 1: AI Governance and Risk

  • AI Models, Considerations and Requirements
  • Types of AI
  • Machine Learning/AI Models
  • Algorithms
  • AI Life Cycle
  • Business Considerations
  • AI Governance and Program Management
  • AI Strategy
  • AI-Related Roles and Responsibilities
  • AI-Related Policies and Procedures
  • AI Training and Awareness
  • Program Metrics
  • AI Risk Management
  • AI-Related Risk Identification
  • Risk Assessment
  • Risk Monitoring
  • Privacy and Data Governance Programs
  • Data Governance
  • Privacy Considerations
  • Leading Practices, Ethics, Regulations and Standards for AI
  • Standards, Frameworks, and Regulations Related to AI
  • Ethical Considerations 

Domain 2: AI Operations

  • Data Management Specific to AI
  • Data Collection
  • Data Classification
  • Data Confidentiality
  • Data Quality
  • Data Balancing
  • Data Scarcity
  • Data Security
  • AI Solution Development Methologies and Lifecycle
  • AI Solution Development Life Cycle
  • Privacy and Security by Design
  • Change Management Specific to AI
  • Change Management Considerations
  • Supervision of AI Solutions
  • AI Agency
  • Testing Techniques for AI Solutions
  • Conventional Software Testing Techniques Applied to AI Solutions
  • AI-Specific Testing Techniques
  • Threats and Vulnerabilities Specific to AI
  • Types of AI-Related Threats
  • Controls for AI-Related Threats
  • Incident Response Management Specific to AI
  • Prepare
  • Identify and Report
  • Assess
  • Respond
  • Post-Incident Review

Domain 3: AI Auditing Tools & Techniques

  • Audit Planning and Design
  • Identification of AI Assets
  • Types of AI Controls
  • AI Audit Use Cases
  • Internal Training for AI Use
  • Audit Testing and Sampling Methodolgies
  • Designing an AI Audit
  • AI Audit Testing Methodologies
  • AI Sampling Testing
  • AI Outcomes Sample
  • AI Audit Process
  • Audit Evidence Collection Techniques
  • Data Collection
  • Walkthroughs and Interviews
  • AI Collection Tools
  • Audit Data Quality and Data Analytics
  • Data Quality
  • Data Analytics
  • Data Reporting
  • AI Audit Outputs and Reports
  • Reports
  • Audit Follow-up
  • Quality Assurance

Upcoming training

Dates and availability are confirmed by Bolt when we follow up. All times are shown in the provider’s stated time zone.

2026-11-19 — 2026-11-208:30 AM - 4:30 PM EST
Virtual Classroom LiveONLINE · English