AI for Internal Audit Course in Dubai
Generative AI, Audit Automation, Analytics & AI Assurance
Build practical, reviewable AI workflows across the audit lifecycle—and learn to assess risk and controls around AI-enabled processes.
AI for Internal Audit Course Overview
Learn how to apply AI to real audit work while preserving confidentiality, evidence quality, professional scepticism and human accountability.
The course connects practical generative AI, source-grounded research, audit analytics and controlled automation with planning, risk assessment, fieldwork, control testing, reporting and follow-up. It also introduces a structured approach to auditing AI-enabled processes.
- Designed for internal auditors, audit managers, CAEs, risk, controls, GRC and assurance professionals.
- Beginner-friendly standard route with no coding prerequisite.
- Guided practice using synthetic and approved audit scenarios.
- Recordings, LMS resources, workflow library and direct learning support.
- Corporate programmes can align to your methodology, templates and approved technology environment.
What Is AI for Internal Audit?
AI for internal audit is the controlled use of AI, analytics and automation to support audit work while auditors retain responsibility for evidence, judgement and conclusions.
Use AI in Internal Audit
Support risk assessment, scoping, planning, interviews, document review, testing, analytics, findings, reports and follow-up with repeatable, reviewable workflows.
Audit AI Systems and Processes
Assess governance, ownership, data quality, model and output risks, human oversight, monitoring, third parties and evidence around AI-enabled business processes.
What You Will Learn
Plan engagements
Structure objectives, scope, stakeholders, risks, interview questions and audit programmes.
Review evidence
Summarise policies and evidence packs with source references, exceptions and reviewer checks.
Test controls
Develop walkthrough questions, evidence requests, test steps and sampling support for human review.
Analyse data
Prepare and explore audit data, identify anomalies and communicate patterns with Excel and Power BI.
Draft findings
Connect condition, criteria, cause, effect and recommendations without surrendering audit judgement.
Improve reports
Create clearer executive summaries, management-action wording and audit committee communication.
Automate safely
Design controlled workflows with triggers, approvals, exception handling and an audit trail.
Audit AI systems
Build an assurance approach around governance, data, models, monitoring and human oversight.
How AI Supports Internal Audit
The course follows the way audit work moves—from understanding risk to monitoring management action.
Confidentiality, source traceability, validation, professional scepticism and reviewer approval run across every stage.
Six Practical Audit Projects
Each project creates an artefact that can be reviewed, improved and adapted after the course.
Audit Planning Pack
Build objectives, scope, stakeholders, risk hypotheses, interview questions and a first-pass audit programme.
Risk-Control Matrix
Translate process risks into control statements, evidence requests, testing steps and reviewer checkpoints.
Evidence Review Workflow
Analyse a synthetic policy and evidence pack, retain sources, record gaps and prepare a review log.
Audit Analytics Case
Use an expense, vendor, access or procure-to-pay data set to identify anomalies and prioritise follow-up.
Finding-to-Report Workflow
Develop a finding, root-cause analysis, recommendation, executive summary and management-action tracker.
AI-System Assurance Review
Create a governance map, evidence request, interview plan, test approach and defensible findings for an AI-enabled process.
Tools Used in the Course
The course teaches portable audit methods first, then applies them across suitable tools. Final tool coverage is confirmed for each cohort or corporate programme.
AI for Internal Audit Course Syllabus
Eight connected modules move from responsible AI foundations into practical audit workflows, analytics, automation and AI assurance.
Module 1: AI and Generative AI for Internal Audit
Understand generative AI, machine learning, analytics, automation and agents in an audit context. Identify suitable use cases, limitations, data boundaries and decisions that must remain with people.
Module 2: Source-Grounded Prompt and Workflow Design
Build structured instructions, context packs, review criteria, reusable templates and source-grounded workflows. Test outputs for relevance, accuracy, completeness and traceability.
Module 3: Audit Planning, Risk Assessment and Scoping
Use AI to support risk-universe review, objectives, scope, stakeholders, process understanding, interview preparation and audit-programme development.
Module 4: Controls, Walkthroughs, Testing and Evidence
Develop risk-control matrices, walkthrough questions, evidence requests, control-test steps and sampling support. Review documents while retaining sources and professional judgement.
Module 5: Audit Analytics and Red-Flag Analysis
Prepare data, explore distributions and exceptions, identify duplicate or unusual activity, interpret patterns and present results using Excel, Power Query and Power BI.
Module 6: Findings, Root Cause, Reporting and Follow-Up
Structure findings, root causes, risks, effects and practical recommendations. Improve executive summaries, management responses, action ownership and follow-up tracking.
Module 7: Automation, Continuous Auditing and Audit Agents
Map repetitive work, define triggers and approvals, handle exceptions and understand how agents or knowledge assistants can support a controlled audit workflow.
Module 8: Auditing AI-Enabled Systems
Assess governance, accountability, data, model and output risk, transparency, human oversight, security, third parties and monitoring. Apply concepts from IIA AI guidance, NIST AI RMF and ISO/IEC 42001 without presenting this course as an external certification.
Use AI Safely in Internal Audit
AI-supported audit work must remain reviewable, defensible and aligned with the organisation’s technology and data rules.
Use organisation-approved accounts, tools and data classifications. Training exercises use synthetic or approved information.
Retain source references, document assumptions, test factual accuracy and distinguish evidence from AI-generated suggestions.
Auditors review, challenge and approve the work. AI does not own the audit opinion, finding, rating or professional judgement.
Resources Included With the Course
The learning system is designed to remain useful after class, with reusable resources for controlled adoption.
Workflow library
Reusable structures for planning, interviews, evidence review, testing, findings and reporting.
Audit templates
Use-case register, RCM, test plan, review log, finding framework and action tracker.
LMS and recordings
Organised learning resources, session recordings, exercises and revision support.
Adoption roadmap
A practical 30-60-90-day plan for taking the next controlled step in your audit function.
Corporate AI Training for Internal Audit Teams
Private programmes can align to your risk universe, audit manual, templates, reporting style, GRC environment, industry and approved AI tools.
- Readiness and approved-tool assessment.
- Audit-lifecycle use-case prioritisation.
- Methodology and template mapping.
- Private labs using synthetic or approved data.
- One pilot workflow developed with the team.
- Quality, evidence and human-review controls.
- Adoption roadmap for managers and practitioners.
Organisations Trained by EduDelphi
Selected organisations that have received EduDelphi training.
AI for Internal Audit in the UAE
Examples reflect regulated, asset-intensive, service-led and digitally transforming organisations across the UAE.
Banking and financial services
Customer processes, access, third parties, fraud indicators, data quality and governance across complex control environments.
Government and public sector
Service delivery, procurement, policy evidence, digital transformation, accountability and audit committee reporting.
Energy and utilities
Operational risk, contractors, asset data, maintenance, resilience and AI-supported decision processes.
Real estate and construction
Procurement, projects, vendors, approvals, payment controls and data-driven exception review.
Aviation, logistics and hospitality
High-volume operations, customer data, revenue, inventory, service quality and third-party dependencies.
Healthcare, telecom and technology
Privacy, access, vendors, digital products, model oversight, incidents and rapidly changing technology risk.
Your Trainer: Shyam Sarrof
CPA (USA), CMA (USA), ACA, ACMA, CS, CFA, ACTM, MBA, B.Com (H)
Shyam brings 22+ years of experience across advisory, internal controls, audit, risk, compliance and finance. His teaching keeps audit judgement at the centre: defining scope, evaluating evidence, identifying control weaknesses, communicating findings and following management action.
In this course, those foundations are applied to AI-supported planning, evidence review, analytics, reporting and assurance—so learners build capability that fits credible internal-audit work rather than superficial demonstrations.
Why Learn With EduDelphi
EduDelphi combines internal-audit education, practical AI training and structured learner support through its Dubai training centre.
IIA Learning Partner status reflects EduDelphi’s internal-audit learning relationship. This independent AI course is not presented as an IIA certification.
KHDA Certificate
Successful learners receive a KHDA certificate after completing the course requirements. The programme documents professional training in practical AI for internal audit through guided learning, applied projects and a capstone.
The certificate is a professional training completion credential. It is not the CIA, ISACA AAIA or an ISO/IEC 42001 personnel certification.
Sample KHDA-attested training certificate format. Learner and course details vary.
Course Fees, Next Batch and What Is Included
Tuition is enquiry-led. Request the current AED fee, active schedule and written inclusions for your preferred learning route.
Instructor-led group learning with projects, feedback and local classroom support.
UAE-friendly interactive delivery with the same curriculum and guided practice.
Focused scheduling and support around your role, experience and target use cases.
Private onsite, classroom or online delivery aligned to your audit methodology.
Compare Related Courses
These routes solve different professional needs. The practical AI course can complement a credential, but it does not replace one.
| Route | Best suited to | Main outcome |
|---|---|---|
| AI for Internal Audit | Auditors and assurance teams applying AI across audit work and AI-system assurance. | Practical workflows, projects and adoption resources. |
| CIA Course | Professionals pursuing The IIA’s Certified Internal Auditor credential. | CIA exam preparation and core internal-audit knowledge. |
| ISACA AAIA | Eligible professionals pursuing ISACA’s advanced AI Audit credential. | Separate external credential and examination route. |
| ISO/IEC 42001 Auditor Training | Professionals auditing an AI management system against ISO/IEC 42001. | Standard-specific audit competence and applicable certification route. |
| Generative AI Course | Professionals who want broad workplace AI capability across functions. | Cross-platform generative AI portfolio. |
| AI for Finance Course | Finance and accounting professionals focused on analysis, reporting and controls. | Finance-specific AI workflows and outputs. |
AI for Internal Audit Training in Dubai and the UAE
Join the Dubai classroom near BurJuman Metro, attend live online from anywhere in the UAE, or arrange private and corporate training around your audit function and approved technology environment.
Evening and weekend schedules are available for working professionals, subject to the current cohort calendar.
EduDelphi Dubai
Delphi Star Training CenterBuilding R308, Office 401
Near BurJuman Metro Exit 3
Dubai, United Arab Emirates
Phone: +971 4 396 3634
Email: [email protected]
Attend instructor-led training at EduDelphi’s Dubai learning centre near BurJuman Metro Exit 3.
Corporate delivery can be arranged across DIFC, Business Bay, Downtown Dubai, Dubai Internet City, JLT, Dubai South and surrounding districts.
Join from Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, Fujairah or Umm Al Quwain.
Frequently Asked Questions
What is the AI for Internal Audit course in Dubai?
It is a 24+ guided-hour practical programme covering AI-assisted planning, risk assessment, evidence review, control testing, analytics, reporting, automation, follow-up and assurance over AI-enabled processes.
Who should attend this course?
It is designed for internal auditors, senior auditors, audit managers, Heads of Internal Audit, IT auditors, risk and control professionals, GRC teams, compliance professionals and assurance leaders.
Do I need coding or previous AI experience?
No. The standard practitioner route is beginner-friendly and does not require coding. Advanced automation and agent extensions are available for teams that need deeper implementation.
Which AI tools do internal auditors learn?
Core practice can use an approved leading AI assistant, NotebookLM or an equivalent source-grounded workspace, and Excel, Power Query and Power BI. Advanced programmes can include automation platforms, agents, audit analytics and GRC integration patterns.
Can I use confidential audit evidence in public AI tools?
Not automatically. Learners are taught to follow organisation-approved tools, data classifications and policies. Confidential, personal or restricted information should not be entered into an unapproved public tool.
Does the course cover AI audit automation?
Yes. It covers workflow mapping, triggers, approvals, exception handling, audit trails and controlled automation. The standard route teaches the design principles; advanced or corporate routes can go deeper into implementation.
Does it teach audit analytics?
Yes. Learners complete a practical analytics case using an audit data set and suitable tools such as Excel, Power Query and Power BI to identify exceptions and communicate results.
Does the course cover auditing AI systems?
Yes. The final module and capstone address governance, accountability, data and model risk, transparency, human oversight, monitoring, third parties, evidence and controls around AI-enabled processes.
Is this an ISACA AAIA preparation course?
No. ISACA AAIA is a separate external credential with its own eligibility, examination and maintenance requirements. This course focuses on practical AI capability for internal audit.
Is this an ISO/IEC 42001 auditor course?
No. ISO/IEC 42001 concepts may be discussed in an assurance context, but this course does not award an ISO/IEC 42001 auditor certification.
What practical outputs will I complete?
You will complete six applied projects and receive reusable resources for audit planning, risk-control mapping, evidence review, analytics, findings, reporting, follow-up, automation and AI-system assurance.
Is the course available online across the UAE?
Yes. EduDelphi offers Dubai classroom and live online delivery across the UAE, along with private, one-to-one and corporate onsite formats.
Can the corporate course use our audit methodology?
Yes. Private programmes can be adapted to your audit manual, templates, risk universe, reporting style, industry, GRC environment and approved AI tools.
Is this a KHDA-approved course?
Yes. This is a KHDA-approved professional training course. Successful learners receive a KHDA certificate after completing the course requirements.
What are the fees and next batch dates?
Fees are enquiry-led because classroom, live-online, private and corporate routes differ. Request the current AED tuition, written inclusions and active schedule using the form on this page.
Frameworks Used in the Course
Course content is informed by current professional and risk-management guidance, adapted into practical learning rather than presented as an external credential.
The IIA
AI guidance, the Global Internal Audit Standards and professional internal-audit context.
NIST AI RMF
Risk-management concepts for governing, mapping, measuring and managing AI risks.
UAE AI Strategy
Local context for AI adoption, governance, capability and responsible implementation in the UAE.
Enquire About the AI for Internal Audit Course in Dubai
Tell us your preferred delivery format and schedule. We will share the current AED fees, syllabus, available batches and private or corporate options.
- 24+ guided hours and eight connected modules.
- Six practical projects and reusable audit resources.
- Dubai classroom and live online across the UAE.
- KHDA-approved course and KHDA certificate.
Get Fees, Syllabus and Next Batch
24+ hours | Six projects | Classroom and live online
