AI MANAGEMENT SYSTEM (ISO 42001:2023) LEAD AUDITOR COURSE
Artificial Intelligence is reshaping every industry — bringing unprecedented innovation along with new challenges in safety, reliability, ethics, transparency, and regulatory compliance. As global standards evolve, organizations must ensure their AI systems, to Operate responsibly, manage risk effectively, align with ethical and legal obligations, and deliver trustworthy outcomes. Failure to govern AI appropriately can lead to operational breakdowns, financial loss, algorithmic bias, reputational damage, and regulatory penalties. This is why trained AI Lead Auditors are now in high demand.
This advanced program providing the participants capabilities to plan, conduct, and lead audits of Artificial Intelligence Management Systems (AIMS). The program equips Participants to perform internal, external, and 3rd Party audits with confidence and authority.
- Duration : 4 days
- Virtual Online
- Course Timing: 9:30 AM to 5:30 PM IST
Whether you aspire to be a Chief AI Officer (CAIO)/ Head of Artificial Intelligence / Head of AI, Chief Data & AI Officer (CDAO)/ Internal or External AI Auditor, or aAI Privacy Specialist, or AI Trainer / Faculty or AI Governance Manager, AI Risk Manager… Starting with the foundations of ISO standards and progressing into an in-depth mastery of ISO/IEC 42001:2023, helps to transform you into a skilled and confident AI professional, ready to excel in every dimension of the Artificial Intelligence Management Systems
As an Exemplar Global Certified Training Provider, ISAAA Training programs meet international competency benchmarks. Our course is ideal for Professionals aiming to become AIMS Lead Auditors, Lead Implementers, AI Governance Specialists, AI Risk Officers, or Responsible AI Officers.
About AIMS LA Program
The AIMS Lead Auditor Training is a comprehensive, practitioner-focused programme designed to equip professionals with the knowledge and skills required to audit Artificial Intelligence Management Systems (AIMS) in accordance with ISO/IEC 42001:2023.
This training provides a strong foundation in AI governance, risk management, ethical considerations, and compliance, along with practical guidance on planning, conducting, reporting, and following up on AIMS audits using the principles of ISO 19011:2018. Participants gain hands-on insight through real-world examples, audit scenarios, and structured assessments.
Ideal for auditors, consultants, risk and compliance professionals, and AI governance leaders, the course prepares participants to confidently perform first-, second-, and third-party AIMS audits and support organizations in building trustworthy, responsible, and compliant AI systems.
Successful participants are eligible for internationally recognised certification and a digital badge, enhancing professional credibility and career prospects in the rapidly growing field of AI governance and assurance.
Course Outline
By the end of the ISO/IEC 42001:2023 Lead Auditor Course, participants will:
- Gain a clear understanding of the principles and requirements of ISO/IEC 42001:2023.
- Distinguish between process certification and product certification.
- Obtain an overview of eight ISO standards relevant to AI security and AI auditing.
- Apply the principles of ISO 19011:2018 when auditing management systems.
- Effectively plan, conduct, report, and follow up on Artificial Intelligence audits.
- Apply risk management and governance principles within AI processes and systems.
- Demonstrate effective communication of audit findings and recommendations.
- Support and contribute to the continual improvement of AI management systems.
Who should attend
- AI Governance & Compliance Professionals
- Internal/External Auditors
- Data Science & ML Engineers moving into governance
- Information Security Managers
- IT Managers & Consultants
- AI Risk Managers & responsible AI Leads
- Technology & Software Professionals seeking audit expertise
- Professionals preparing for roles such as CISRO,
- DPO, or AI Ethics Officer
Course Contents
- Introduction to AI Management Systems (AIMS)
- AI Governance, Ethics & Responsible AI principles
- Detailed walkthrough of ISO/IEC 42001:2023 clauses
- AI lifecycle analysis and documentation review
- Organizational, technical & human oversight controls
- Explaining fairness, transparency & explainability mechanisms
- AI model performance, drift, robustness & monitoring
- Internal audits & management review
- Certification audit process
- Reporting, nonconformity handling & corrective actions
Pre-Requisite
- Participants should possess a working knowledge of information security and auditing principles.
- Participants should have a basic understanding of risk management concepts.
- AIMS Lead Auditor (ISO/IEC 42001:2023) Certificate
- Digital Badge from Exemplar Global
- Delegate Notes
COURSE SCHEDULE
Day 1
- AI history, AI Concepts and Terminology ISO/IEC 22989:2022
- Use of AI in different industries, standards and regulations related to AI
- Clause 3 AIMS Terms & Definitions
- Clause 4 Context, Needs, Scope of AIMS
- Clause 5 Leadership & Commitment, AI Policy, Roles & responsibilities
- Clause 6.1 AI risk assessment, risk treatment, system impact assessment
- Clause 8 AI risk assessment, risk treatment, system impact assessment
- Clause 6.2 AI Objectives
- Clause 6.3 Planning of changes to the AIMS
- Clause 7-Resources, Clause 9-Monitoring and Clause 10-Continual Improvement
Day 2
- Annex A – 38 AI controls in nine areas/control objectives
- Policies
- Internal organization and reporting of concerns
- Resources for AI systems – people, data, tools, Systems
- AI System impact assessment process & its documentation
- Annex B – Implementation Guidance for 38 AI controls continued…
- AI System Lifecycle
- Data for AI systems
- Information for interested parties, external reporting
- Use of AI systems – processes, objectives, intended use
- Third party and customer relationships – suppliers, customers.
- Annex C AI related objectives and risk resources
Day 3
- Principles of Auditing
- Integrity
- Fair presentation
- Due professional care
- Confidentiality
- Independence
- Evidence-based approach
- Risk-based approach
- Managing an audit programme
- Establishing audit programme objectives
- Determining and evaluating audit programme risks and opportunities
- Establishing the audit programme
- Implementing the audit programme
- Monitoring the audit programme
- Reviewing and improving the audit programme
Day 4
- Conducting an audit
- Initiating the audit
- Preparing for audit activities
- Conducting audit activities
- Preparing and distributing the audit report
- Completing the audit
- Conducting audit follow-up
- Competence and evaluation of auditors
- Determining auditor competence
- Establishing competence criteria
- Evaluating auditor competence
- Maintaining and improving auditor competence
Verify Badge
