ISO/IEC 42001 AI Management System Training Course

Name: ISO/IEC 42001 AI Management System | Auditor & Implementer Training Course
Availability: InStock

Develop implementation and auditing expertise to establish, evaluate, and maintain an ISO/IEC 42001 compliant AI management system.

ISO/IEC 42001 AI Management System Training Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Amman, Riyadh, Montreux, Accra, Dubai, Madrid and more
Next session: 11 – 15 October 2026, Amman
Average fee: 7,500 €

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ISO/IEC 42001 AI Management System | Auditor & Implementer Training Course

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Overview

Organizations adopting artificial intelligence must establish structured governance, risk controls, and accountability mechanisms to ensure responsible deployment. The ISO/IEC 42001 AI Management System standard establishes the international requirements for creating, implementing, maintaining, and auditing an Artificial Intelligence Management System (AIMS). This programme prepares professionals to establish robust operational policies, execute AI risk assessments, conduct internal audits, and guide organizations toward formal certification readiness. Participants evaluate control objectives, inspect data integrity and model transparency, and resolve audit nonconformities systematically. This course is delivered by Agile Leaders Training Center.

Who Should Attend

AI compliance officers and regulatory specialists managing governance programs.
Internal auditors and quality assurance assessors evaluating AI system controls.
IT risk managers and cybersecurity analysts identifying operational AI vulnerabilities.
Project managers and enterprise architects overseeing AI model deployment.
Data governance professionals and corporate ethics officers responsible for algorithmic accountability.
Senior technology leaders preparing institutional frameworks for external certification audits.

Departments and Industries

This course supports compliance, risk, and technical personnel across sectors implementing automated decision-making and machine learning workflows.

AI Governance, Enterprise Risk Management, and Legal Compliance Units
Information Security, Cybersecurity, and IT Infrastructure Divisions
Internal Audit and Operational Quality Assurance Teams
Software Engineering and Machine Learning Development Groups
Banking, Financial Services, and Insurance Institutions
Healthcare, Pharmaceutical Research, and Medical Technology Providers
Manufacturing, Automotive, and Automated Logistics Enterprises

Learning Objectives

By the end of this course, participants will be able to:

Interpret ISO/IEC 42001 requirements and establish an Artificial Intelligence Management System framework.
Conduct structured AI risk assessment workflows and formulate effective risk treatment plans.
Execute internal AI compliance audits in accordance with standard auditing principles.
Deploy operational controls governing AI data quality, transparency, and model lifecycle management.
Identify nonconformities and implement corrective action programs to address audit findings.
Prepare organizational documentation and evidence registers for formal certification audits.

Course Agenda

Day 1: Foundations of AIMS and Standard Requirements

Structure and Intent of the ISO/IEC 42001 AI Management System Standard
Core Concepts of Artificial Intelligence Management Systems (AIMS)
Organizational Context Analysis and Stakeholder Expectation Mapping
Leadership Accountability and AI Management Policy Formulation
Establishing AIMS Objectives and Operational Scopes across Business Units
Overview of Annex Control Objectives and Governance Requirements

Day 2: Implementation Planning and Risk Management

Developing an AIMS Implementation Roadmap and Work Breakdown Structure
AI Risk Assessment Methodologies and Consequence Classification
Conducting Systemic AI Impact Assessments across Operational Workflows
Selecting and Tailoring Controls for Model Fairness, Transparency, and Safety
Documented Information Control and Operational Recordkeeping Protocols
Integrating AI Governance with Existing Information Security Systems

Day 3: Internal Auditing and Evidence Gathering

Audit Principles, Auditor Responsibilities, and Code of Conduct
Planning and Scheduling an ISO/IEC 42001 Internal Audit Programme
Developing Checklists and Interview Protocols for Machine Learning Operations
Gathering Objective Audit Evidence from Data Pipelines and Model Registries
Evaluating Continuous Model Monitoring, Validation, and Retraining Controls
Supplier Evaluation Protocols for Third-Party AI Models and Data Assets

Day 4: Audit Findings and Corrective Action Management

Classifying Audit Observations, Minor Gaps, and Major Nonconformities
Root Cause Analysis Protocols using Standard Problem-Solving Methods
Formulating Actionable Corrective Action Plans and Remediation Timelines
Drafting the Formal Internal Audit Report and Management Summary
Management Review Process and Resource Allocation for Continual Improvement
Monitoring AIMS Key Performance Indicators and Operational Metrics

Day 5: Certification Preparation and Practical Assessment

Preparing for Stage 1 and Stage 2 Third-Party Certification Audits
Managing Auditor Interactions, Evidence Requests, and Finding Resolution
Simulated Internal Audit Exercise on High-Impact AI Applications
Reviewing Sector-Specific Compliance Scenarios and Governance Challenges
Consolidating Implementer and Auditor Workflows for Enterprise Maintenance
Course Review, Knowledge Consolidation, and Programmatic Action Planning

Practical Exercises

Participants complete hands-on activities to resolve operational challenges and build execution plans.

Suggested activity: Formulate an AI Management System scope statement and corporate AI policy document.
Suggested activity: Conduct a simulated AI risk assessment on a production machine learning pipeline.
Suggested activity: Develop an internal audit checklist covering operational transparency and model controls.
Suggested activity: Draft an audit finding report including nonconformity categorization and corrective action plans.

FAQs

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

No prior certification is required, but familiarity with artificial intelligence concepts, risk management practices, or management system standards is beneficial.

How long is each day's session, and is there a total number of hours required for the entire course?

Each session lasts 4 to 5 hours daily, totaling 20 to 25 hours across five days.

What are the key challenges in implementing ISO/IEC 42001 compliance in AI systems?

Common challenges include defining clear governance structures, aligning operational controls with ethical guidelines, managing evolving model risks, and establishing rigorous audit trails across complex data workflows.

Conclusion

Organizations that adopt structured management systems achieve defensible AI governance, verifiable risk control, and operational resilience. By integrating implementation rigor with disciplined internal audit practices, participants protect organizational integrity, assure compliance with international standards, and position their enterprises for successful external certification.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 59 events

Location	Dates	Duration	Mode	Price
Dubai	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€6,500
Singapore	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€6,500
Amsterdam	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€6,500
Milan	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€7,000
Sharm El-Sheikh	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€5,200
Jakarta	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€8,000
Lisbon	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€6,500
Johannesburg	Week 14, 2027 11 – 15 April 2027	5 Days	Onsite	€6,000
Tokyo	Week 16, 2027 19 – 23 April 2027	5 Days	Onsite	€12,000
Seoul	Week 16, 2027 19 – 23 April 2027	5 Days	Onsite	€12,000
Chicago	Week 16, 2027 25 – 29 April 2027	5 Days	Onsite	€16,000
London	Week 17, 2027 26 – 30 April 2027	5 Days	Onsite	€6,500
Paris	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€6,500
Tbilisi	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€5,700
Al Jubail	Week 18, 2027 9 – 13 May 2027	5 Days	Onsite	€7,500
Barcelona	Week 19, 2027 10 – 14 May 2027	5 Days	Onsite	€6,500
Toronto	Week 19, 2027 16 – 20 May 2027	5 Days	Onsite	€16,000
Bangkok	Week 20, 2027 23 – 27 May 2027	5 Days	Onsite	€8,000
Bali	Week 22, 2027 6 – 10 June 2027	5 Days	Onsite	€6,500
San Diego	Week 24, 2027 14 – 18 June 2027	5 Days	Onsite	€16,000

Frequently asked questions

What does this course cover?

OverviewOrganizations adopting artificial intelligence must establish structured governance, risk controls, and accountability mechanisms to ensure responsible deployment. The ISO/IEC 42001 AI Management System standard establishes the international requirements for creating, implementing, maintaining, and auditing an Artificial Intelligence Management Sy…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

ISO/IEC 42001 AI Management System Training Course