Advanced in AI Audit (AAIA)

Skip to Scheduled Dates

Course Overview

This three-day, instructor-led course provides IS auditors with the foundational knowledge and background of AI solutions to evaluate their proper governance, design, development, and security to apply their expertise in audit and assurance activities in the enterprise. The course is structured to align with the job practice and features a variety of knowledge check questions, case studies, activities, and discussions designed to apply the concepts to real-life business scenarios.

Course Outline

Domain 1. AI Governance and Risk

  • AI Models, Considerations, and Requirements
  • AI Governance and Program Management
  • AI Risk Management
  • Privacy and Data Governance Programs
  • Leading Practices, Ethics, Regulations, and Standards for AI

Domain 2. AI Operations

  • Data Management Specific to AI
  • AI Solution Development Methodologies and Lifecycle
  • Change Management Specific to AI
  • Supervision of AI Solutions
  • Testing Techniques for AI Solutions
  • Threats and Vulnerabilities Specific to AI
  • Incident Response Management Specific to AI

Domain 3. AI Auditing Tools and Techniques

  • Audit Planning and Design
  • Audit Testing and Sampling Methodologies
  • Audit Evidence Collection Techniques
  • Audit Data Quality and Data Analytics
  • AI Audit Outputs and Reports

< Back to Course Search

Class Dates & Times

Class times are listed Eastern time

This is a 3-day class

Register for Class

Register When Time Where How
Register 11/03/2025 9:00AM - 5:00PM Online VILT

The classes listed are available to all United Training customers and does not reflect, in any way,
the availability or support of technology within the University of Maine System.