Master AI compliance with ISO/IEC 42001 – Implementation & auditing.

Provided by: Professional Evaluation and Certification Board (PECB)

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Master AI compliance with ISO/IEC 42001 – Implementation & auditing.

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Course Overview:

Artificial intelligence is transforming industries, yet its governance, compliance, and risk management require a structured approach. This ISO/IEC 42001 AI Management System | Auditor & Implementer Training Course is designed to equip professionals with the skills to implement, audit, and certify AI management systems in accordance with ISO/IEC 42001.

Participants will learn AI governance best practices, compliance requirements, risk management strategies, and certification guidelines for ensuring responsible AI use. This course provides a comprehensive training experience that aligns with industry standards, covering both AI management system implementation and auditing processes.

Whether you're an AI auditor, compliance professional, risk manager, consultant, or project leader, this course helps you navigate ISO/IEC 42001 certification, internal audit practices, AI risk assessment, and AI security frameworks. Through interactive case studies, discussions, and expert-led instruction, you will gain hands-on knowledge to implement and audit AI compliance frameworks across organizations.

Target Audience:

AI compliance officers and regulatory professionals
AI auditors and internal audit teams
IT risk managers and security analysts
AI project managers and consultants
Data governance and ethics professionals
Senior executives responsible for AI strategy

Targeted Organizational Departments:

AI governance, risk, and compliance
IT security and AI risk management
Internal audit and quality assurance teams
AI project implementation and development
Legal and regulatory affairs regarding AI compliance
Corporate ethics and AI security management

Targeted Industries:

Financial services and banking
Healthcare and pharmaceuticals
Technology and software development
Government and defense
Manufacturing and automation
Retail and e-commerce

Course Offerings:

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

Understand ISO/IEC 42001 certification requirements and compliance frameworks
Conduct AI risk assessment training and implement mitigation strategies
Lead ISO 42001 AI compliance audits with best practices
Develop and implement AI management system best practices
Ensure AI ethics and compliance through governance frameworks
Establish AI regulatory compliance policies and internal audits
Prepare organizations for ISO/IEC 42001 certification audits

Training Methodology:

This course follows an interactive, hands-on learning approach, incorporating:

Real-world case studies of AI compliance and risk management
Scenario-based learning for AI security and auditing
Exercises on AI lifecycle management and governance
Live Q&A sessions with AI risk management experts
Workshops on ISO/IEC 42001 audit preparation and certification compliance
Feedback and review sessions for deeper AI compliance understanding

Course Toolbox:

Participants will receive:

A structured ISO/IEC 42001 implementation guide
Templates for AI compliance audits and governance frameworks
Case study materials for AI security management training
Checklists for ISO/IEC 42001 audit preparation
2 Certifications from (Agile Leaders & PECB)

Course Agenda:

Day 1: Introduction to AI Management Systems and ISO/IEC 42001

Topic 1: Understanding Artificial Intelligence Management System (AIMS)
Topic 2: Fundamental Concepts and Principles of ISO/IEC 42001
Topic 3: AI Governance, Compliance, and Risk Management Frameworks
Topic 4: Regulatory Requirements and Standards for AI Compliance
Topic 5: Key Components of an Effective AI Management System
Topic 6: The Role of AI Ethics and Compliance in Governance
Reflection & Review: Summary of Key Learnings and Q&A Session

Day 2: ISO/IEC 42001 AI Management System Implementation Approach

Topic 1: Initiating an AI Management System Implementation Plan
Topic 2: Organizational Context and AI Policy Development
Topic 3: AI Risk Management Strategies and Risk Assessment
Topic 4: Defining the Scope and Objectives of AIMS
Topic 5: Selection and Implementation of AI Security Controls
Topic 6: Documentation and Information Management for AI Compliance
Reflection & Review: Case Study Analysis and Group Discussion

Day 3: Conducting AI Compliance Audits and Internal Assessments

Topic 1: Audit Principles and AI Compliance Assessment Methods
Topic 2: Preparing for an ISO/IEC 42001 AI Compliance Audit
Topic 3: Conducting On-Site AI Audits and Evidence Collection
Topic 4: Identifying Nonconformities and Compliance Gaps
Topic 5: Internal Audit Reporting and Documentation Requirements
Topic 6: Audit Follow-Up and Corrective Action Planning
Reflection & Review: Best Practices in AI Compliance Auditing

Day 4: AI Governance, Certification, and Continuous Improvement

Topic 1: AI Lifecycle Management and Continuous Monitoring
Topic 2: AI System Governance Certification and Best Practices
Topic 3: AI Ethics, Accountability, and Transparency Frameworks
Topic 4: ISO/IEC 42001 Certification Process and Requirements
Topic 5: Third-Party Audit and Compliance Evaluation
Topic 6: AI Governance Challenges and Future Regulatory Trends
Reflection & Review: Key Takeaways and Interactive Q&A Session

Day 5: Final Preparations, Case Studies, and Certification

Topic 1: Mock Audit Exercise for AI Management System Compliance
Topic 2: AI Compliance Framework in Different Industry Applications
Topic 3: AI Implementation and Risk Mitigation Case Studies
Topic 4: Preparing for the ISO/IEC 42001 Lead Auditor and Implementer Exam
Topic 5: AI Certification Best Practices and Common Challenges
Topic 6: Final Q&A and Expert Insights on AI Compliance
Reflection & Review: Recap of Key Learnings and certification process overview

FAQ:

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

No prior certification is required, but familiarity with AI systems, risk management, or compliance 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 4-5 hours daily, totaling 20-25 hours over five days.

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

Some challenges include understanding AI governance structures, ensuring compliance with ethical standards, managing AI risks, and aligning AI security policies with international regulations. This course addresses these challenges through hands-on strategies and real-world case studies.

How This Course is Different from Other ISO/IEC 42001 AI Management System Courses:

Unlike generic AI compliance courses, this ISO/IEC 42001 AI Management System training provides a practical approach to AI compliance, auditing, and governance. It integrates real-world scenarios, hands-on exercises, and compliance tools tailored to organizations seeking ISO certification. With expert-led training, interactive discussions, and a structured methodology, participants gain the skills needed to implement and audit AI management systems efficiently.

This course ensures that professionals are not only prepared for certification but also equipped with the knowledge to lead AI compliance initiatives effectively.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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