An introduction to artificial intelligence for internal auditors (Level 1)

Created specifically for internal auditors, this is a foundation course for those who are seeking to understand the fundamental concepts of the new wave of generative AI.

It will explore what it means for them professionally, the challenges it poses for their organisation, the potential benefits and pitfalls of its use, and ultimately how they can quickly and easily start to use the technology to enhance their impact and productivity.

Who should attend?

This course will be of value to internal auditors who are curious about generative AI and would like to take their first structural steps into its use. Those that will benefit the most from the practical use cases in the course are those at the beginning or early stages of their journey with either no or basic exposure to generate AI models such as ChatGPT, Claude, Google Gemini, or Microsoft Co-Pilot for example. Heads of audit and those with leadership responsibility will benefit from the course as a stimulant for their functional AI development and how to galvanise their teams on their AI journey.

What will i learn?

Upon completion you will be able to:

⇒ Define the basic concepts of generative AI
⇒ Identify various standards and guidelines associated with the use of AI
⇒ Identify the various interaction points between AI and the internal audit team
⇒  Identify the risks and opportunities of generative AI, and what that may mean for internal audit teams
⇒  Identify and evaluate a portfolio of potential use cases for LLM generative AI in your teams
⇒  Explain the fundamentals of Prompt engineering for improved responses and content generation
⇒  Construct your own prompts and use generative AI models in the context of internal audit
⇒ Appraise and defend ideas and learnings with peers.

Pre-reading:

💡 What is AI? Why now? Basic Terminology
💡 AI Risk Summary & Source Links
💡 AI Checklist for Internal Audit

course information

📅 Date and time

• October 15 - October 16, 2025
• 10:00 - 14:00  

🌐 Place 

• Online, via Zoom
• The meeting link will be provided a few days before the course.