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AIG3240 Mastering ISO 42001 for Executive-Level AI Governance Practitioners

$199.00
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What is the ISO 42001 for Executive-Level AI Governance course about?

Even experienced teams lose months rebuilding similar artefacts across projects, assessment frameworks, control mappings, statements of applicability, because there’s no system to preserve and reuse what’s already been built. This inefficiency compounds, slowing delivery and diluting quality.

What situation is the ISO 42001 for Executive-Level AI Governance for?

Even experienced teams lose months rebuilding similar artefacts across projects, assessment frameworks, control mappings, statements of applicability, because there’s no system to preserve and reuse what’s already been built. This inefficiency compounds, slowing delivery and diluting quality.

What do you take away from the ISO 42001 for Executive-Level AI Governance course?

Produce ISO 42001-aligned assessment templates that cut scoping time by 50% Build a living library of control mappings that evolve across client engagements Generate reusable Statement of Applicability drafts tailored to common deployment patterns Deploy a personal playbook that preserves insights from each delivery Accelerate future projects by reusing vetted governance components instead of rebuilding.

How does this map to your situation?

When scoping a new AI governance engagement During risk assessment and control design phases Preparing for internal or external audit Building repeatable frameworks across client projects.

What's included with your purchase?

12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.

What does the ISO 42001 for Executive-Level AI Governance cover on delivery and format?

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: Approximately 24 hours total, designed to be completed at your pace over six weeks with practical, bite-sized chapters.

How does this compare to the alternatives?

Unlike generic compliance training or one-size-fits-all certification prep, this course delivers a tailored system for generating reusable governance assets specific to your role at CGI and the AI projects you lead.

What does the ISO 42001 for Executive-Level AI Governance cover on frequently asked?

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

Closely related courses: CSA STAR for Executive-Level Cloud Governance, ISO 27001 for US executive-level Risk Practitioners, ISO 27001 for Executive-Level Governance Leaders, ISO 27701 for Executive-Level Privacy Governance.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering ISO 42001 for Executive-Level AI Governance Practitioners

Build a compounding library of AI governance artefacts that accelerate every future engagement

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Starting from scratch on every AI governance engagement wastes time and weakens consistency

The situation this course is for

Even experienced teams lose months rebuilding similar artefacts across projects, assessment frameworks, control mappings, statements of applicability, because there’s no system to preserve and reuse what’s already been built. This inefficiency compounds, slowing delivery and diluting quality.

Who this is for

Senior AI governance practitioners leading cross-functional teams in global systems integration firms

Who this is not for

Entry-level auditors, compliance staff without delivery authority, or vendors selling pre-packaged certifications

What you walk away with

  • Produce ISO 42001-aligned assessment templates that cut scoping time by 50%
  • Build a living library of control mappings that evolve across client engagements
  • Generate reusable Statement of Applicability drafts tailored to common deployment patterns
  • Deploy a personal playbook that preserves insights from each delivery
  • Accelerate future projects by reusing vetted governance components instead of rebuilding

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 and AI Governance
Understand the core principles, scope, and business value of ISO 42001 in enterprise AI governance contexts. Establish alignment between organizational AI use cases and framework requirements.
12 chapters in this module
  1. Overview of ISO 42001
  2. AI governance lifecycle stages
  3. Mapping framework to business risk
  4. Key terminology and scope definition
  5. Differences from ISO 27001
  6. Roles in governance teams
  7. Stakeholder expectations
  8. Regulatory alignment
  9. Industry adoption trends
  10. Organizational readiness assessment
  11. Baseline control selection
  12. Common implementation models
Module 2. Scoping AI Management Systems
Learn how to define clear boundaries and applicability for AI governance programs. Identify relevant systems, data flows, and decision points within complex environments.
12 chapters in this module
  1. Defining the AI management system
  2. Identifying AI-enabled processes
  3. Data lifecycle mapping
  4. Jurisdictional considerations
  5. Third-party dependencies
  6. Risk-based scoping methods
  7. Documentation standards
  8. Internal audit alignment
  9. Change control protocols
  10. Versioning governance assets
  11. Cross-project reusability criteria
  12. Template creation for scope definition
Module 3. Establishing Governance Objectives
Develop measurable AI governance objectives aligned with business goals. Create frameworks for transparency, accountability, and performance monitoring.
12 chapters in this module
  1. Setting governance KPIs
  2. Ethical AI principles integration
  3. Performance monitoring design
  4. Transparency benchmarks
  5. Accountability frameworks
  6. Stakeholder communication plans
  7. Escalation protocols
  8. Objective review cycles
  9. Adaptation to new regulations
  10. Benchmarking against peers
  11. Reporting cadence design
  12. Success criteria definition
Module 4. Risk Assessment and Treatment Planning
Conduct thorough risk assessments specific to AI systems. Develop actionable treatment plans and integrate them into existing risk management workflows.
12 chapters in this module
  1. AI-specific risk identification
  2. Harm typology mapping
  3. Likelihood impact matrices
  4. Control selection methodology
  5. Third-party risk integration
  6. Bias detection protocols
  7. Explainability requirements
  8. Human oversight thresholds
  9. Escalation triggers
  10. Risk treatment documentation
  11. Review frequency standards
  12. Automated risk flagging design
Module 5. Control Design for AI Lifecycle Stages
Design targeted controls for data acquisition, model training, deployment, and monitoring phases. Align with ISO 42001’s control objectives across the AI lifecycle.
12 chapters in this module
  1. Data quality assurance
  2. Model validation protocols
  3. Deployment checkpoints
  4. Monitoring KPIs
  5. Feedback loop integration
  6. Retraining triggers
  7. Version control for models
  8. Access control standards
  9. Audit trail requirements
  10. Incident response integration
  11. Control testing frequency
  12. Automation of control checks
Module 6. Statement of Applicability Development
Create comprehensive Statements of Applicability that justify control inclusion or exclusion. Ensure defensibility and traceability across governance decisions.
12 chapters in this module
  1. SoA structure and components
  2. Control justification writing
  3. Exclusion rationale templates
  4. Evidence linkage strategies
  5. Cross-referencing standards
  6. Stakeholder review process
  7. Version control for SoA
  8. Integration with audit cycles
  9. Automated SoA updates
  10. Multi-client adaptation
  11. Language for executive summaries
  12. Peer review checklist
Module 7. Internal Audit and Continuous Improvement
Implement internal audit programs for AI governance. Use findings to drive continuous improvement and organizational learning.
12 chapters in this module
  1. Audit planning for AI systems
  2. Evidence collection protocols
  3. Nonconformance tracking
  4. Root cause analysis
  5. Improvement backlog management
  6. Audit frequency guidelines
  7. Remediation workflows
  8. Trend analysis methods
  9. Lessons learned documentation
  10. Knowledge sharing systems
  11. Training needs identification
  12. Audit report templates
Module 8. Training and Awareness Programs
Design effective training programs for diverse stakeholders involved in AI governance. Ensure consistent understanding and application of policies.
12 chapters in this module
  1. Audience segmentation
  2. Learning objectives definition
  3. Curriculum design
  4. Delivery modalities
  5. Assessment methods
  6. Refresher cycles
  7. Role-specific content
  8. Leadership engagement strategies
  9. Feedback collection
  10. Training effectiveness metrics
  11. Compliance tracking
  12. Credentialing options
Module 9. Documentation and Record Keeping
Establish robust documentation practices. Maintain records that support compliance, audits, and knowledge continuity.
12 chapters in this module
  1. Document classification
  2. Retention policies
  3. Access controls
  4. Versioning standards
  5. Metadata tagging
  6. Searchability optimization
  7. Cross-project indexing
  8. Automated archiving
  9. Regulatory correspondence templates
  10. Meeting minutes standards
  11. Decision log maintenance
  12. Secure storage protocols
Module 10. Third-Party and Supply Chain Governance
Extend governance to vendors, partners, and subcontractors. Ensure consistent standards across the AI supply chain.
12 chapters in this module
  1. Vendor assessment criteria
  2. Contractual obligations
  3. Due diligence protocols
  4. Ongoing monitoring
  5. Subcontractor oversight
  6. Data sharing agreements
  7. Audit rights enforcement
  8. Incident notification requirements
  9. Performance dashboards
  10. Exit strategy planning
  11. Liability frameworks
  12. Mutual compliance validation
Module 11. Certification and External Audit Preparation
Prepare for external audits and certification processes. Understand assessor expectations and evidence requirements.
12 chapters in this module
  1. Certification body selection
  2. Pre-audit checklist development
  3. Evidence portfolio assembly
  4. Stage 1 audit preparation
  5. Stage 2 audit readiness
  6. Corrective action response
  7. Assessor communication protocols
  8. Audit finding classification
  9. Gap analysis methodology
  10. Re-certification planning
  11. Stakeholder briefing templates
  12. Post-audit review process
Module 12. Building a Compounding Governance Practice
Create systems that make each engagement more efficient than the last. Institutionalize knowledge and reduce reinvention across projects.
12 chapters in this module
  1. Artefact library design
  2. Template evolution process
  3. Knowledge transfer protocols
  4. Playbook maintenance
  5. Cross-project reuse metrics
  6. Efficiency tracking
  7. Client-specific customization
  8. Standardization thresholds
  9. Governance IP development
  10. Value demonstration to leadership
  11. Career leverage from compounding assets
  12. Future-proofing against regulation

How this maps to your situation

  • When scoping a new AI governance engagement
  • During risk assessment and control design phases
  • Preparing for internal or external audit
  • Building repeatable frameworks across client projects

Before vs. after

Before
Starting from scratch on each AI governance project, rebuilding similar artefacts and losing valuable institutional knowledge between engagements.
After
Leveraging a growing library of reusable templates, control mappings, and statements of applicability that accelerate delivery and strengthen consistency across every new project.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 24 hours total, designed to be completed at your pace over six weeks with practical, bite-sized chapters.

If nothing changes
Continuing to rebuild governance artefacts from scratch will slow delivery velocity, increase compliance risk, and leave valuable institutional knowledge trapped in isolated projects.

How this compares to the alternatives

Unlike generic compliance training or one-size-fits-all certification prep, this course delivers a tailored system for generating reusable governance assets specific to your role at CGI and the AI projects you lead.

Frequently asked

How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
What makes this different from standard ISO 42001 training?
This course focuses on building reusable artefacts and compounding knowledge across engagements, not just passing an exam or meeting minimum requirements.
Is this relevant if I work across multiple clients?
Yes, specifically designed for senior practitioners in global firms who lead diverse AI governance projects and need systems that scale across accounts.
$199 one-time. Approximately 24 hours total, designed to be completed at your pace over six weeks with practical, bite-sized chapters..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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