Courses AI certifications (AI CERTs®)

AI-Enabled Internal Audit™ Certificate Program

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Specialization

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

Learn to use AI for smarter, faster, and more effective internal audits.

Prerequisites

A general understanding of internal audit concepts and the audit lifecycle is helpful. No prior AI experience or coding background is required.

Audience

Who is it for

Internal Auditors, Staff Auditors, Senior Auditors, and Audit Managers: Professionals seeking practical AI workflows for planning, fieldwork, evidence validation, documentation, and reporting.

Internal Audit Directors and Chief Audit Executives: Leaders responsible for AI-enabled methodology, governance, capability building, and board reporting.

QAIP and Audit Methodology Leaders: Professionals who review AI-assisted workpapers, documentation quality, and conformance.

Audit Committee Members and Oversight Leaders: Leaders who need sufficient AI literacy to challenge governance, understand AI-related risk, and interpret assurance results.

Risk, Compliance, Governance, and Assurance Professionals: Professionals who work with internal audit and need a shared language for AI-enabled assurance.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam, with one free retake
  • AI CERTs CPE credits and certificate after passing the exam

Course content

Syllabus

Module 1: Foundations of AI in Internal Audit
  • 1.1 What AI Is (and Is Not) for Internal Audit
  • 1.2 The AI Technology Landscape for Auditors
  • 1.3 How AI Is Reshaping the Profession and the Global Internal Audit Standards
  • 1.4 Ethics, Bias, and Auditor Responsibilities with AI
  • 1.5 The AI Maturity Spectrum: From Data Analytics to Autonomous Agents
  • 1.6 Building Your Personal AI Toolkit for the Internal Audit Function
Module 2: AI-Powered Audit Execution
  • 2.1 AI for Risk Assessment and Audit Planning
  • 2.2 Continuous Auditing and Monitoring with AI
  • 2.3 AI-Assisted Workpaper Documentation and Evidence Analysis
  • 2.4 NLP for Contract, Policy, and Document Review
  • 2.5 Prompting for Audit Tasks (Risk Identification and Control Testing)
  • 2.6 Refining AI Outputs for Accuracy and Relevance
  • 2.7 Identifying and Correcting AI Errors and Hallucinations
  • 2.8 Documenting AI-Assisted Work to Quality Standards
Module 3: Data, Quality, and Professional Skepticism
  • 3.1 Evaluating AI Output: When to Trust, When to Probe
  • 3.2 Data-Quality Fundamentals for AI-Augmented Audit
  • 3.3 Documenting AI-Assisted Work for Quality Assurance
  • 3.4 Managing Over-Reliance and Preserving Human Judgment
  • 3.5 The Regulatory and Standards Landscape Governing AI in Assurance
Module 4: Industry Vertical Audit
  • 4.1 Financial Services: Credit Risk, Fraud Detection, and Compliance
  • 4.2 Healthcare: Operations, HIPAA Compliance, and Revenue-Cycle Integrity
  • 4.3 Manufacturing and Supply Chain: Vendor Audits and ESG Assurance
  • 4.4 Technology and Cybersecurity: IT Controls, AI Systems, and Third-Party Risk
  • 4.5 Government and Public Sector: Compliance, Grants, and Accountability
  • 4.6 Energy and Utilities: Resilience and Environmental Compliance
  • 4.7 Translating AI Audit Methods Across Sectors
Module 5: AI in Action – Practitioner Use Case Labs
  • 5.1 Use-Case Scenarios: Fraud, IT Controls, Vendor Compliance, and ESG
  • 5.2 Prompt Engineering for Audit Tasks
  • 5.3 Peer Review of AI-Assisted Workpapers
  • 5.4 Capstone Project 1: Build a Continuous Audit Exception-Review App Using Replit
  • 5.5 Capstone Project 2: Generate and Validate an AI-Assisted Audit Checklist Using Audit Now
Module 6: Leading AI-Enabled Audit Functions
  • 6.1 AI Adoption Strategy, Tools, and Governance Frameworks
  • 6.2 Building a Team AI Strategy: Upskilling, Tools, Governance
  • 6.3 Managing Change, Resistance, and Stakeholder Expectations
  • 6.4 Coordinating AI-Enabled Assurance Across the Three Lines in line with Standard 9.5, Coordination and Reliance
  • 6.5 Communicating AI-Driven Insights to Audit Committees and Boards

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online AI-proctored exam

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Any of our courses can be delivered as a private, in-company training, tailored to your organisation, in English or Hungarian.

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