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Advanced in AI Audit™ Course

Advanced in AI Audit™ Training Course
The Advanced in AI Audit™ training is designed for experienced auditors to evaluate the governance, security, and ethics of artificial intelligence systems. Participants learn to identify AI-specific risks such as algorithmic bias, model hallucinations, and data privacy vulnerabilities throughout the entire machine learning lifecycle. Enrol now and get started!
Course Duration
35 Hours
Corporate Days
5 Days
Learners Enrolled
6
Modules
8
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Course Rating
4.8
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Mode of Delivery
Online
Classroom
Certification by

Upcoming Batches

Start Date Duration Batch Type Time Mode Price Register
15-Nov-2026 5 DAYS Corporate Batch 09:00 AM - 05:00 PM Classroom
Thailand (Bangkok / Phuket)
$5,000 USD
22-Nov-2026 5 DAYS Corporate Batch 09:00 AM - 05:00 PM Online $4,000 USD

Customise Advanced in AI Audit™ for Corporate Training?

Select your preferred location and schedule — customised training tailored to your goals.

What Will You Learn from the Advanced in AI Audit™ Training

AI Fundamentals for Auditors
Understand core artificial intelligence and machine learning concepts, explore how AI systems are designed and trained, and assess their implications for audit risk and internal control environments.
AI Risk Assessment and Audit Planning
Learn to identify and assess AI-specific risks within organisations, develop AI-focused audit plans, and design audit programmes that address algorithmic decision-making and model governance risks.
Auditing Machine Learning Models
Apply structured methodologies to audit machine learning models, evaluate model accuracy, fairness, and bias, and assess the robustness of model validation and monitoring frameworks.
AI Governance and Ethical Audit
Examine AI governance frameworks, algorithmic accountability requirements, and ethical AI standards, and audit organisational compliance with responsible AI deployment principles and regulatory expectations.
Data Quality and AI Audit Evidence
Evaluate data integrity, data lineage, and training data quality as sources of AI audit evidence, and develop testing approaches that assess AI system inputs, outputs, and controls.
Regulatory Compliance and AI Audit Reporting
Navigate evolving AI regulatory requirements, apply compliance testing frameworks to AI systems, and produce clear AI audit reports that communicate findings to boards and senior management.

About Our Advanced in AI Audit™ Course

Edoxi's Advanced in AI Audit™ training program is designed to equip internal auditors, risk professionals, and governance specialists with the advanced knowledge and practical skills needed to audit artificial intelligence systems effectively and responsibly. As AI adoption accelerates across industries, audit functions must evolve to address new and complex AI-specific risks.

Participants will explore the full spectrum of AI audit disciplines, including AI risk assessment, machine learning model auditing, data quality evaluation, AI governance review, ethical AI compliance, and AI audit reporting. The programme integrates real-world AI audit scenarios, applied exercises, and structured case studies that bridge AI theory with the practical demands of modern audit practice.

Delivered by experienced audit and AI professionals, the course builds advanced AI audit competency progressively, ensuring participants can design and execute AI-focused audit engagements, evaluate AI controls, and communicate AI audit findings to boards and senior stakeholders with clarity and confidence.

Enrol now to develop the AI audit expertise that positions you at the forefront of the evolving internal audit profession.

Key Features of Edoxi's Advanced in AI Audit™ Training

AI Audit-Specific Curriculum

Course content is purpose-built for auditors and risk professionals, covering AI risk assessment, model auditing, data quality, AI governance, and regulatory compliance in one integrated programme.

Expert AI and Audit Practitioners

Learn from experienced audit and AI professionals who bring deep practical knowledge of AI systems, audit methodologies, and governance frameworks into every training session delivered.

Applied Practical Learning

Engage in real-world AI audit scenarios, model evaluation exercises, and structured case studies that develop practical AI auditing competencies directly applicable in your audit engagements.

AI Governance and Ethics Emphasis

The programme dedicates significant attention to AI governance frameworks, algorithmic accountability, and ethical AI standards, equipping participants to audit responsible AI deployment effectively.

Flexible Training Delivery Options

Choose from online, classroom, or corporate training formats designed to accommodate audit professionals and organisational teams with varying schedules and AI audit development requirements.

Recognised Certificate of Completion

Receive an Edoxi Certificate of Completion that validates your Advanced AI Audit training and strengthens your professional profile in competitive internal audit and risk management markets.

Who Can Join Our Advanced in AI Audit™ Course?

Internal Auditors and Audit Managers

Internal audit professionals seeking to develop advanced AI audit competencies and lead AI-focused audit engagements within organisations deploying artificial intelligence systems and tools.

Chief Audit Executives

Heads of internal audit who want to build AI audit capability within their teams and position the audit function to address AI risks effectively across their organisations.

Risk Management Professionals

Enterprise risk managers and risk analysts looking to understand AI-specific risks, evaluate AI control environments, and integrate AI risk assessment into organisational risk frameworks.

IT Auditors and Cybersecurity Professionals

IT audit and cybersecurity professionals who want to expand their expertise into AI system auditing, model governance review, and algorithmic risk assessment methodologies.

Compliance and Governance Officers

Compliance and governance professionals responsible for AI regulatory compliance and ethical AI governance who want to develop structured AI audit and review capabilities effectively.

Finance and Accounting Professionals

Finance professionals and accountants involved in financial reporting and controls who want to understand how AI systems affect financial audit risk, data integrity, and reporting accuracy.

Advanced in AI Audit™ Course Modules

Module 1: AI Fundamentals for the Modern Auditor
  • Chapter 1.1: Understanding Artificial Intelligence and Machine Learning for Audit

    • Lesson 1.1.1: Core AI and Machine Learning Concepts Relevant to Audit Practice
    • Lesson 1.1.2: Types of AI Systems and Their Deployment in Organisational Contexts
    • Lesson 1.1.3: Implications of AI for Audit Risk, Internal Controls, and Assurance Scope
Module 2: AI Risk Assessment and Audit Universe Mapping
  • Chapter 2.1: Identifying and Assessing AI-Specific Risks in Organisations

    • Lesson 2.1.1: AI Risk Taxonomy and Classification for Internal Audit Purposes
    • Lesson 2.1.2: Mapping AI Systems into the Audit Universe and Risk Framework
    • Lesson 2.1.3: Developing AI-Focused Risk Assessments and Audit Prioritisation
Module 3: AI Audit Planning and Engagement Design
  • Chapter 3.1: Designing AI Audit Programmes and Engagement Scope

    • Lesson 3.1.1: AI Audit Planning Methodology and Objectives Setting
    • Lesson 3.1.2: Defining AI Audit Scope, Control Objectives, and Testing Approach
    • Lesson 3.1.3: Stakeholder Engagement and Coordination for AI Audit Engagements
Module 4: Auditing Machine Learning Models and Algorithms
  • Chapter 4.1: Model Validation, Bias Assessment, and Algorithm Auditing

    • Lesson 4.1.1: Machine Learning Model Lifecycle and Audit Touchpoints
    • Lesson 4.1.2: Evaluating Model Accuracy, Fairness, and Algorithmic Bias in Practice
    • Lesson 4.1.3: Assessing Model Validation Frameworks, Monitoring Controls, and Drift Detection
Module 5: Data Quality, Data Governance, and AI Audit Evidence
  • Chapter 5.1: Evaluating Data Integrity and Training Data as Audit Evidence

    • Lesson 5.1.1: Data Quality Dimensions and Their Impact on AI System Reliability
    • Lesson 5.1.2: Auditing Data Lineage, Data Governance Frameworks, and Data Access Controls
    • Lesson 5.1.3: Using AI System Inputs and Outputs as Audit Evidence and Testing Techniques
Module 6: AI Governance, Ethics, and Responsible AI Audit
  • Chapter 6.1: Auditing AI Governance Structures and Ethical Compliance

    • Lesson 6.1.1: AI Governance Frameworks Including EU AI Act and ISO 42001 Principles
    • Lesson 6.1.2: Auditing Algorithmic Accountability, Explainability, and Transparency Requirements
    • Lesson 6.1.3: Ethical AI Standards, Fairness Auditing, and Human Oversight Assessment
Module 7: Regulatory Compliance and AI Audit in Regulated Industries
  • Chapter 7.1: Navigating AI Regulation and Compliance Audit in Financial Services and Beyond

    • Lesson 7.1.1: Global AI Regulatory Landscape and Compliance Obligations for Auditors
    • Lesson 7.1.2: AI Audit in Financial Services, Healthcare, and Other Regulated Sectors
    • Lesson 7.1.3: Compliance Testing Frameworks for AI Systems in Regulated Environments
Module 8: AI Audit Reporting, Communication, and Continuous Improvement
  • Chapter 8.1: Communicating AI Audit Findings and Building AI Audit Capability

    • Lesson 8.1.1: Structuring AI Audit Reports for Board, Management, and Regulatory Audiences
    • Lesson 8.1.2: Communicating AI Audit Findings, Recommendations, and Follow-Up Processes
    • Lesson 8.1.3: Building AI Audit Capability and Continuous Improvement in the Audit Function

Download Advanced in AI Audit™ Course Brochure

Advanced in AI Audit™ Course Outcomes and Career Opportunities

By completing Edoxi's Advanced in AI Audit™, you will build the skills to advance your career.

Course Outcome Image
Design and execute AI-focused audit engagements including risk assessment, scope definition, control objective setting, and audit programme development for AI systems and tools.
Audit machine learning models by evaluating accuracy, fairness, algorithmic bias, model validation frameworks, monitoring controls, and model drift detection mechanisms effectively.
Assess data quality, data lineage, and data governance frameworks as sources of AI audit evidence, applying structured testing approaches to AI system inputs and outputs.
Evaluate AI governance structures, audit algorithmic accountability and explainability requirements, and assess organisational compliance with ethical AI standards and regulatory expectations.
Navigate global AI regulatory requirements, apply compliance testing frameworks to AI systems in regulated industries, and produce clear AI compliance audit reports effectively.
Communicate AI audit findings, recommendations, and risk insights clearly to boards, senior management, and regulatory stakeholders through structured and impactful AI audit reports.

Job Roles After Completing the Advanced in AI Audit™ Training

  • AI Audit Manager
  • Chief Audit Executive
  • IT Audit and AI Risk Specialist
  • AI Governance and Compliance Officer
  • Enterprise Risk Manager
  • Internal Audit Director

Advanced in AI Audit™ Training Options

Online Training

  • 40-hour online Advanced in AI Audit™ course

  • Virtual expert-led instruction

  • Interactive exercises and feedback sessions

  • Real-time demonstrations and Q&A

  • Flexible scheduling for working professionals

Classroom Training

  • Face-to-face training at Edoxi training centre

  • Hands-on workshops with real-world scenarios

  • Peer learning in a structured classroom environment

  • Access to printed study materials and reference guides

  • Direct trainer interaction for personalised guidance

Corporate Training

  • 5-day corporate Advanced in AI Audit™ for organisational teams

  • Content tailored to your organisation's specific needs

  • Delivered at hotel, client premises, or Edoxi centre

  • Group-focused practical exercises and case studies

  • All logistics covered including venue, food, and refreshments

How to Get a Advanced in AI Audit™ Certification?

Here's a four-step guide to becoming a certified professional.

Become Certified in Advanced in AI Audit™?

Join Edoxi's Advanced in AI Audit™ Course

Why Choose Edoxi for Advanced in AI Audit™?

Edoxi is the top choice for Advanced in AI Audit™. Here's why:

AI Audit-Specific Programme Design

Edoxi's Advanced in AI Audit™ programme is purpose-built for audit professionals, covering AI risk, model auditing, data governance, ethical AI, and regulatory compliance in one comprehensive course.

Expert AI and Audit Practitioners

Our instructors are experienced audit and AI professionals who bring deep real-world knowledge of AI systems, audit methodologies, and governance frameworks into every training session they deliver.

Practical Applied Learning Approach

Training incorporates real-world AI audit scenarios, model evaluation exercises, and structured case studies that ensure participants can immediately apply advanced AI audit knowledge in engagements.

AI Governance and Ethics Focus

Edoxi dedicates significant course time to AI governance frameworks, algorithmic accountability, and ethical AI standards, equipping participants to audit responsible AI deployment with confidence.

Flexible Training Delivery Formats

Online, classroom, and corporate training modes are available, giving audit professionals and organisational teams the flexibility to engage with the Advanced in AI Audit™ programme conveniently.

Globally Recognised Certificate of Completion

Participants receive an Edoxi Certificate of Completion that validates their Advanced AI Audit training and strengthens their professional credibility and career prospects in internal audit and risk markets.

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Edoxi is Recommended by 95% of our Students

FAQ

What is the Advanced in AI Audit™ course at Edoxi?

Edoxi's Advanced in AI Audit™ programme equips internal auditors, risk professionals, and governance specialists with advanced knowledge and practical skills to audit artificial intelligence systems. The course covers AI risk assessment, machine learning model auditing, data quality evaluation, AI governance review, ethical AI compliance testing, regulatory compliance, and AI audit reporting and communication.

Who should attend the Advanced in AI Audit™ course?

This course is designed for internal auditors and audit managers, chief audit executives, enterprise risk management professionals, IT auditors and cybersecurity professionals, compliance and governance officers, and finance and accounting professionals who need to understand how AI systems affect financial audit risk, data integrity, and internal control environments.

Do I need a technical AI background to join this course?

A deep technical AI background is not required. The programme introduces AI concepts in an audit-relevant and accessible manner, focusing on practical AI audit methodologies, risk assessment, governance review, and compliance testing rather than AI model development or programming. Audit professionals from all backgrounds will gain significant value from this advanced programme.

How is Edoxi's Advanced in AI Audit™ course structured?

The course is structured across eight modules covering AI fundamentals for auditors, AI risk assessment and audit universe mapping, AI audit planning and engagement design, machine learning model auditing, data quality and AI audit evidence, AI governance and ethics auditing, regulatory compliance and AI audit in regulated industries, and AI audit reporting and continuous improvement.

Will I receive a certificate after completing the Advanced in AI Audit™ course?

Yes. Upon successfully completing Edoxi's Advanced in AI Audit™ course and fulfilling all course requirements, participants will receive an Edoxi Certificate of Completion. This certificate validates your advanced AI audit training achievement and demonstrates your capability to design, execute, and report on AI audit engagements to current and prospective employers.

What is the average salary after completing the Advanced in AI Audit™ course?
Salaries vary by role, experience, and location. The table below provides an overview of typical annual earnings for audit and risk professionals specialising in AI audit.

Job RoleAverage Annual Salary (USD)
AI Audit Manager$115,000
Chief Audit Executive$150,000
IT Audit and AI Risk Specialist$105,000
AI Governance and Compliance Officer$100,000
Enterprise Risk Manager$112,000
Internal Audit Director$135,000