Artificial Intelligence Management System
Implementation Program
Enable responsible, secure, and trustworthy AI adoption by implementing a structured Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001:2023. This program equips professionals with the knowledge and practical skills required to design, implement, audit, and continually improve AI governance frameworks within organizations.
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Why This Program Matters?
As organizations increasingly deploy AI systems across business functions, the need for responsible AI governance, risk management, and accountability has become critical. AI-related risks ranging from bias and ethical concerns to regulatory non-compliance and reputational damage require a structured management approach.
The AIMS Implementation Program helps organizations establish governance mechanisms to ensure AI systems are lawful, ethical, transparent, and trustworthy,
while meeting emerging global regulatory expectations and stakeholder requirements.
Comprehensive Curriculum
6 modules covering everything from fundamentals to advanced implementation strategies
- Fundamentals of Artificial Intelligence and related technologies
- Types of AI: Narrow AI, supervised, unsupervised, and reinforcement learning
- Key AI concepts including machine learning, data science, and algorithms
- Understanding Artificial Intelligence Management Systems (AIMS)
- Objectives, benefits, and applicability of ISO/IEC 42001:2023
- Responsible AI governance and sectoral applicability
- Structure of ISO/IEC 42001: clauses, annexes, and harmonized management system approach
- How to read and interpret ISO 42001 requirements
- Understanding auditable vs non-auditable requirements
- Evidence expectations and audit trail creation
- Key terminology used across the standard
- Defining the scope of AIMS and organizational boundaries
- AI system role classification and stakeholder identification
- Conducting AI-specific risk assessments (likelihood, impact, prioritization)
- Developing the Statement of Applicability (SoA)
- Linking risks, controls, and SoA for audit readiness
- Documentation best practices for scope and risk
- AI System Impact Assessments covering technical, legal, and ethical dimensions
- Assessing impacts on individuals, society, and stakeholders
- Planning and conducting internal audits for AIMS
- Audit program design, criteria, and reporting
- Top management review requirements
- Continual improvement, corrective and preventive actions
- Overview of the 38 Annex A controls and their intent
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A.2 – A.5: Policy & Resources
- AI policy development and management commitment
- Resource identification (human, technical, data)
- Roles, responsibilities, and accountability
- Conflict of interest and whistleblowing mechanisms
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A.6 – A.7: Lifecycle & Data
- AI lifecycle governance (design to retirement)
- Data acquisition, preparation, quality, and provenance
- Bias, fairness, retention, and disposal controls
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A.8 – A.9: Interested Parties & Use
- Communication with users and stakeholders
- Responsible use and transparency requirements
- Reporting adverse AI impacts
- User documentation and disclosures
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A.10: Customer Relationships
- Supplier and customer AI requirements
- Contractual clauses and documentation
- Evidence trails for responsible AI practices
- Understanding Annex B implementation guidance
- Practical application of Annex A controls
- Documentation templates and examples
- Best practices for effective AIMS implementation
- Common pitfalls and how to avoid them
- Preparing for certification and audits
Why Choose Our Program?
Experience the difference with our industry-leading approach to data protection education
Industry Oriented Curriculum
Stay aligned with real-world security operations, threat modeling, and red teaming practices.
Certified Trainers
Train with certified cybersecurity experts with hands-on experience in ethical hacking and threat detection.
Professional Course
Elevate your skills and professional value with a comprehensive and recognized certification.
Interactive Learning
Engage in red vs blue team exercises, advanced ethical hacking labs, and live incident response simulations.
Certification
Receive a globally recognized Certified Cyber Security Professional certificate upon successful completion.
Post-Program Support
Access to updates, tools, and mentoring from cybersecurity experts and community members.
- AI governance, risk, and compliance professionals
- Information security, privacy, and GRC professionals
- Data scientists, AI product owners, and system managers
- Internal auditors and consultants
- Professionals involved in responsible AI initiatives
- Comprehensive study materials included
- Flexible exam scheduling
- Digital certificate upon completion
Frequently Asked Questions
Find answers to common questions about our Enterprise Security Architecture
What is this course about?
This program focuses on the practical implementation of an Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001:2023, covering governance, risk, controls, and continual improvement.
Will this course be globally relevant?
Yes. ISO/IEC 42001 is an international standard applicable across industries and geographies, supporting responsible and compliant AI adoption.
What is the examination or assessment pattern?
Participants will undergo an assessment to evaluate their understanding of AIMS concepts and implementation practices. Successful participants will receive a Certificate of Completion.
What career benefits can I expect?
The program prepares professionals for emerging roles in AI governance, AI risk management, responsible AI assurance, and AI compliance consulting.
What post-program support will I receive?
Participants receive reference materials, implementation guidance, and practical templates to support real-world AIMS deployment and audit readiness.
Start Your GRC Journey
Register now and take the first step towards advancing your GRC career.