ISO 42001 — AI Management Systems (AIMS) Exemplar Global Training

Build Professional Expertise in AI Governance, Risk Management and Responsible Artificial Intelligence

Artificial intelligence is rapidly becoming part of how organizations operate, make decisions, serve customers, analyze information, automate processes, and develop new products and services.

But as AI becomes more powerful and more widely used, organizations also face important questions:

How should AI systems be governed?

How can organizations identify and manage AI-related risks?

How can businesses use AI responsibly while maintaining appropriate controls, transparency, security, and accountability?

This is where ISO/IEC 42001 becomes increasingly relevant.

MAXIMEDGE GROUP invites professionals, technology specialists, auditors, compliance officers, risk managers, IT professionals, consultants, business leaders, data professionals, and other interested participants to join our ISO 42001 — Artificial Intelligence Management System (AIMS) Exemplar Global Training Course.

The course is designed to help participants understand the principles and practical considerations involved in establishing, implementing, maintaining, and improving an Artificial Intelligence Management System (AIMS).

Training Schedule

Evening Batch 1

📅 21–29 September 2026

Evening Batch 2

📅 5–13 October 2026

Weekend Batch

📅 3, 4, 10, 11 & 17 October 2026

Training Focus: Artificial Intelligence Management Systems (AIMS)

Training Scheme: Exemplar Global

Register Now – Limited Seats Available!

Important date notice: As of October 6, 2026, the September 21–29 and October 5–13 evening batches are already underway or have commenced. The 3, 4, 10, 11 & 17 October weekend batch is the relevant upcoming/current scheduled option, subject to confirmation by Maximedge.

What Is ISO/IEC 42001?

ISO/IEC 42001 is an international standard for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS).

It provides organizations with a structured management-system approach for addressing the opportunities and risks associated with AI.

Rather than focusing only on the technical development of AI systems, an AIMS considers organizational governance and management processes around AI.

Key areas can include:

AI governance
AI risk management
Responsible AI
AI system objectives
Organizational roles and responsibilities
AI impact considerations
Data governance
Transparency
Accountability
Monitoring and evaluation
Continual improvement

For organizations increasingly adopting artificial intelligence, these considerations can become an important part of responsible technology management.

Why ISO 42001 Training Matters

AI can create significant opportunities for organizations, but its use can also introduce new risks.

These risks may involve:

Data quality
Privacy
Security
Bias
Transparency
Accountability
Reliability
Human oversight
Regulatory expectations
Unintended outcomes
AI system performance

Organizations therefore need more than an AI strategy. They need appropriate governance and management processes.

ISO 42001 training can help professionals understand how an AI Management System can provide a structured framework for managing AI-related risks and opportunities.

Participants can develop knowledge in:

AI governance
AI management systems
AI risk assessment
AI impact assessment
Responsible AI
AI controls
Documentation
Monitoring
Internal auditing
Corrective action
Continual improvement

Who Should Attend?

This training is suitable for professionals involved in artificial intelligence, technology management, information security, governance, risk, compliance, auditing, and business operations.

It can be particularly relevant to:

AI Professionals
AI Managers
IT Managers
Information Technology Professionals
Data Scientists
Data Analysts
Machine Learning Professionals
Software Engineers
Technology Consultants
Information Security Professionals
Cybersecurity Professionals
Risk Managers
Compliance Officers
Internal Auditors
Lead Auditors
Quality Managers
QHSE Professionals
Governance Professionals
Legal and Compliance Professionals
Privacy Professionals
Digital Transformation Managers
Project Managers
Business Leaders
Consultants
Management-System Professionals
Technology Entrepreneurs
Professionals responsible for AI adoption

It can also benefit professionals who want to develop a stronger understanding of AI governance without necessarily being AI developers.

What You Will Learn

The course provides structured learning around AI Management Systems and the principles associated with ISO/IEC 42001.

Module 1: Introduction to Artificial Intelligence Management Systems

Participants will explore the fundamentals of AI management and why organizations need structured governance approaches.

Topics include:

Artificial intelligence fundamentals
AI systems
AI management
AI governance
Responsible AI
Opportunities and risks
Management-system principles
The role of organizational governance

Participants will develop a foundation for understanding why AI needs to be managed as an organizational issue—not simply a technology project.

Module 2: Understanding ISO/IEC 42001

Participants will examine the purpose and structure of ISO/IEC 42001.

Key areas include:

Purpose of an AIMS
Organizational context
Interested parties
AIMS scope
Leadership
AI policy
Planning
Support
Operation
Performance evaluation
Improvement

The objective is to help participants understand how an AI Management System can be integrated into an organization's governance structure.

Module 3: AI Governance and Organizational Context

Effective AI management begins with understanding how AI fits within the organization.

Participants will explore:

Organizational objectives
AI-related activities
Interested parties
AI roles and responsibilities
Internal and external issues
AIMS scope
Governance structures
Accountability

This helps organizations establish clear responsibilities for managing AI systems and associated risks.

Module 4: AI Risk Management

AI systems can introduce risks that differ from those associated with conventional information technology.

Participants will examine considerations such as:

AI risk identification
Risk assessment
Risk treatment
AI system reliability
Data-related risks
Security risks
Privacy considerations
Bias and fairness considerations
Human oversight
Unintended consequences

The goal is to help participants understand how organizations can approach AI risks systematically.

Module 5: AI Impact Assessment

AI systems can affect individuals, organizations, customers, employees, and other stakeholders.

Participants will explore concepts associated with assessing potential AI impacts.

Areas include:

Identifying affected parties
Assessing potential impacts
Evaluating risks
Documenting assessments
Considering unintended effects
Human and organizational impacts
Monitoring changes

Impact assessment can help organizations identify concerns before or during the deployment and operation of AI systems.

Module 6: Data and AI System Management

AI systems depend heavily on data and information.

Participants will explore management considerations involving:

Data quality
Data sources
Data management
Data governance
Data security
Data integrity
AI system inputs and outputs
Documentation
Traceability
Monitoring

Understanding the relationship between data and AI-system performance is important for effective AI governance.

Module 7: Responsible and Trustworthy AI

Responsible AI requires organizations to consider more than technical performance.

Participants will examine principles and considerations such as:

Transparency
Accountability
Human oversight
Fairness
Reliability
Safety
Security
Privacy
Explainability
Responsible deployment

These concepts help organizations think about the broader implications of AI use.

Module 8: AI Controls and Operational Management

Participants will examine how organizations can establish controls around AI-related processes.

Potential areas include:

AI system development
AI procurement
AI deployment
AI operation
Monitoring
Change management
Third-party AI services
Documentation
Access and authorization
Operational controls

The emphasis is on understanding how governance requirements can be translated into practical organizational controls.

Module 9: AI Management System Auditing

Participants will explore how an AIMS can be evaluated through structured auditing.

Topics include:

Audit principles
Audit objectives
Audit scope
Audit criteria
Audit planning
Evidence collection
Interviews
Documentation review
Sampling
Audit trails
Findings
Audit conclusions

Participants can develop an understanding of how AI management processes can be assessed systematically.

Module 10: Nonconformity, Corrective Action and Continual Improvement

AI governance needs to evolve as technology, organizational objectives, risks, and regulatory expectations change.

Participants will examine:

Nonconformities
Root-cause analysis
Correction
Corrective action
Effectiveness evaluation
Monitoring
Management review
Continual improvement
Updating AI management controls

The objective is to help organizations build management systems that can adapt to changing AI-related risks and opportunities.

Develop Practical AI Governance Skills

AI governance is not only a technical responsibility.

Organizations need people who can connect technology with governance, risk, compliance, business objectives, security, and organizational accountability.

The training can help participants develop practical approaches to:

✔ Assess AI-Related Risks

Understand how organizations can identify and evaluate risks associated with AI systems and their use.

✔ Evaluate AI Governance

Examine whether roles, responsibilities, policies, processes, and controls are appropriately established.

✔ Review AI Documentation

Assess relevant policies, procedures, records, assessments, controls, and other documented information.

✔ Evaluate AI Impacts

Understand how AI systems may affect users, stakeholders, business processes, and other interested parties.

✔ Conduct AIMS Audits

Develop a structured approach to gathering evidence and evaluating conformity with applicable AIMS requirements.

✔ Support Continual Improvement

Understand how monitoring, audit findings, corrective actions, and management review can contribute to improvement.

Why AI Governance Matters to Nigerian Businesses

Artificial intelligence is increasingly being used across sectors in Nigeria and globally.

Organizations may use AI for:

Customer service
Fraud detection
Financial analysis
Marketing
Recruitment
Data analysis
Document processing
Predictive analytics
Healthcare applications
Manufacturing
Logistics
Cybersecurity
Business intelligence
Automation

As organizations adopt these technologies, governance becomes increasingly important.

Businesses need to understand not only what AI can do, but also how AI should be managed responsibly within the organization.

ISO 42001 provides a management-system approach that can help organizations structure these considerations.

ISO 42001 Across Different Industries

Banking and Financial Services

AI may support fraud detection, customer analytics, credit-related processes, automation, and financial decision support. Governance can help organizations manage associated risks and responsibilities.

Oil and Gas

AI can be applied to predictive maintenance, operational analytics, process optimization, safety-related systems, and asset management.

Healthcare

AI applications can involve medical information, diagnostics, operational efficiency, patient services, and decision-support processes, making responsible management particularly important.

Telecommunications

Telecom organizations may use AI for customer analytics, network optimization, fraud detection, and service management.

Manufacturing

AI can support predictive maintenance, quality control, automation, production optimization, and process analysis.

Government and Public Services

AI can support administrative processes, data analysis, service delivery, and decision-support activities.

Professional Services

Consulting, legal, accounting, marketing, human resources, and other professional-service organizations are increasingly exploring AI for productivity and service delivery.

ISO 42001 and Information Security

AI management and information security are closely connected, but they are not the same thing.

AI systems can process large volumes of information and may depend on sensitive or valuable data.

Organizations therefore need to consider issues such as:

Data security
Access control
Confidentiality
Integrity
Availability
Privacy
AI-specific risks
Third-party services
System security

Professionals with knowledge of both AI Management Systems and information security management can bring a broader perspective to organizational technology governance.

Why Choose MAXIMEDGE GROUP?

At MAXIMEDGE GROUP, our professional training approach focuses on practical learning, structured knowledge, and workplace relevance.

Future-Focused Professional Training

AI governance is an emerging area of organizational management. Developing knowledge now can help professionals better understand the management challenges associated with AI adoption.

Practical Approach

The course connects AI governance principles with organizational processes, risk management, controls, auditing, and continual improvement.

Suitable for Technical and Non-Technical Professionals

You do not need to be an AI developer to benefit from understanding AI governance and management systems.

Individual and Corporate Training

The training can support individual professional development and organizational capacity building.

Cross-Industry Relevance

AI is being adopted across multiple sectors, making responsible AI management relevant to a broad range of organizations.

Career and Professional Development

AI governance sits at the intersection of technology, business, risk, compliance, information security, data management, and organizational governance.

Knowledge of ISO 42001 may be relevant to professional activities involving:

AI governance
AI risk management
Technology governance
IT management
Information security
Data governance
Compliance
Internal auditing
AI consulting
Digital transformation
Risk management
Responsible AI
Corporate governance
Technology assurance
Management systems

The training can complement existing technical or management expertise and provide a structured foundation for professionals seeking to work with AI governance and management systems.

Corporate ISO 42001 Training

Is your organization adopting artificial intelligence?

Does your team need a structured understanding of AI governance, risk, controls, and responsible AI?

MAXIMEDGE GROUP can support organizations seeking professional training for their employees and teams.

Corporate training can address areas such as:

AI Management System awareness
ISO/IEC 42001 requirements
AI governance
AI risk management
AI impact assessment
Responsible AI
Data governance
AI controls
Internal auditing
Corrective action
Continual improvement

Training can be relevant to IT, data, cybersecurity, compliance, risk, legal, operations, HR, quality, audit, and management teams.

Prepare for the Future of AI Governance

Artificial intelligence is moving quickly. Organizations that adopt AI need systems that can evolve with the technology while maintaining appropriate governance and accountability.

The ISO 42001 Artificial Intelligence Management System (AIMS) Exemplar Global Training provides professionals with an opportunity to develop knowledge in one of the emerging areas of modern management systems.

Whether you are an IT professional, AI specialist, auditor, risk manager, compliance officer, consultant, data professional, business leader, or technology practitioner, this training can help you better understand the organizational side of responsible AI.

Register with MAXIMEDGE GROUP