Why This Certification Matters

  • Applies AI Across the Full Audit Lifecycle Build practical capability to use AI across risk assessment, audit planning, continuous monitoring, fieldwork, evidence analysis, reporting, follow-up, and quality review.

  • Improves Audit Efficiency Without Compromising Quality Use practical AI workflows to improve audit efficiency and insight while preserving evidence quality, confidentiality, documentation discipline, and human accountability.

  • Strengthens Validation and Professional Skepticism Learn to validate AI-generated outputs, identify errors and hallucinations, assess data quality, and maintain traceable, reviewable audit evidence before relying on AI-assisted work.

  • Embeds Responsible AI and Governance Apply ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act in an assurance context, alongside ethics, privacy, confidentiality, bias mitigation, and AI governance.

  • Builds Future-Ready Audit Leadership Develop the capability to coordinate AI-enabled assurance across the three lines in line with Standard 9.5, Coordination and Reliance, and communicate AI-driven insights to audit committees and boards.

At a Glance: Course + Exam Overview

Program Name
AI-Enabled Internal Audit Certificate Program
Included
Course content + Official exam + AI CERTs CPE and Certificate upon successful completion of the exam
Prerequisites
A general understanding of internal audit concepts and the audit lifecycle is helpful. No prior AI experience or coding background is required.
Exam Format
50 multiple-choice / multiple-response questions; 90 minutes; 70% passing score (35/50); online AI-proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience

Who Should Enroll?

  • 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.

What You'll Learn

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

Prerequisites

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

Exam Details

Duration
90 minutes
Passing Score
70%
Format
50 multiple-choice / multiple-response questions
Delivery Method
online AI-proctored exam

Choose the Format That Fits Your Schedule

What's Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide
  • Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • Learn anywhere, anytime, with modular quizzes to track progress
Discover Your Ideal Role-Based Certifications and Programs!

Discover Your Ideal Role-Based Certifications and Programs!

Not sure which certifications to go for? Take our quick assessment to discover the perfect role-based certifications and programs tailored just for you.

Browse All Certification

9/10 of our learners achieve their learning objectives after successful completionProcess Advisors

fortray global services

Hear it from our Alumni

fortray global services Success Stories
The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
Anu Lanish
Anu Lanish

IT Service Desk Technician

The course gave me a clear understanding of network security concepts and practical exposure. It helped me build confidence in handling real-world security tasks.
Rahul Raj Nalam
Rahul Raj Nalam

Network Security (Traineeship)

My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
Lokeshwar Reddy
Lokeshwar Reddy

Cloud Architect

The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
Mohammad Owais
Mohammad Owais

Cybersecurity Engineer

This course strengthened my full-stack development skills and practical understanding. I am more confident in building and managing complete web applications.
Niraj Sah
Niraj Sah

Full Stack Web Developer

This course improved my understanding of project management methodologies and workflows. I gained practical skills to plan and execute projects effectively.
Naga Manikanta Kartheek
Naga Manikanta Kartheek

Project Management

The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
Arsha Amir Khan
Arsha Amir Khan

Data Analyst

The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
Sai Praneeth Reddy
Sai Praneeth Reddy

Data Scientist

The course helped me understand automation testing frameworks and best practices. I gained practical experience in writing and executing automated test cases.
Subbhashree Varatharajan
Subbhashree Varatharajan

Automation Test Engineer

Recommended Certifications

Explore our hand-picked certifications trusted by industry leaders. Compare career paths, exam details, and salary insights to find the credential that matches your goals and accelerates your growth.