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DAT3411 Mastering ISO 42001 for Senior Technology Practitioners in Global Services

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior Technology Practitioners in Global Services

Build AI governance that teams adopt and auditors approve, from design to deployment

$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.

Who this is for

Senior Professional - II at the firm with deep technical delivery exposure across regulated sectors; likely involved in designing or reviewing AI governance artefacts for client engagements

Who this is not for

Entry-level analysts, non-technical executives, or practitioners outside of technology implementation and compliance delivery roles

What you walk away with

  • Produce ISO 42001-compliant AI governance documentation that passes internal review on first submission
  • Lead client-side governance discussions with structured control mappings and real-world precedents
  • Design vendor evaluation criteria aligned with ISO 42001 control objectives
  • Build reusable templates for AI risk assessments that scale across accounts
  • Document clear statements of applicability that reflect actual deployment scope

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 Scope and Intent
Establish foundational clarity on ISO 42001’s purpose, structure, and relationship to AI system lifecycles. Learn how to distinguish between policy aspirations and implementable controls.
12 chapters in this module
  1. Defining artificial intelligence in the context of ISO 42001
  2. Core principles behind the standard’s governance model
  3. How ISO 42001 complements existing risk and compliance frameworks
  4. Mapping AI use cases to control applicability
  5. Understanding roles in AI governance: designer, deployer, user
  6. Scope boundaries for AI systems in client environments
  7. Differentiating ISO 42001 from ISO 27001 and ISO 9001
  8. Key terminology and definitions per clause 3
  9. Relationship between AI management and service delivery
  10. Global applicability and regional regulatory considerations
  11. How auditors interpret conformity claims
  12. Common misconceptions about certification readiness
Module 2. Initiating an AI Governance Framework
Learn how to start an AI governance program aligned with ISO 42001, including stakeholder identification, governance charter development, and initial scoping.
12 chapters in this module
  1. Identifying internal and external stakeholders in AI governance
  2. Creating a governance charter with clear accountabilities
  3. Establishing steering committee roles and responsibilities
  4. Defining AI system inventory thresholds
  5. Setting governance maturity targets by project type
  6. Linking governance initiation to procurement processes
  7. Documenting decision rights for high-risk AI use cases
  8. Planning governance activities across delivery phases
  9. Aligning with client-specific compliance requirements
  10. Using templates for initial governance onboarding
  11. Tracking governance initiation across engagements
  12. Integrating AI register setup into project kickoffs
Module 3. Risk Assessment and Control Mapping
Master techniques to conduct AI-specific risk assessments and map them to ISO 42001 controls using repeatable, defensible methods.
12 chapters in this module
  1. Identifying intrinsic risks in AI system design
  2. Assessing data quality and lineage risks
  3. Evaluating bias and fairness in model outputs
  4. Determining transparency and explainability thresholds
  5. Mapping identified risks to control objectives
  6. Using precedent-based mappings from past audits
  7. Documenting risk treatment plans per control
  8. Incorporating third-party model risks
  9. Setting monitoring frequency based on risk severity
  10. Linking controls to technical implementation steps
  11. Validating risk assessment completeness
  12. Producing audit-ready risk register entries
Module 4. Documentation and Record Keeping
Build comprehensive, defensible documentation packages that meet ISO 42001 requirements while remaining practical for delivery teams.
12 chapters in this module
  1. Required records per clause 4 through clause 8
  2. Version control strategies for governance documents
  3. Storing records in multi-client environments
  4. Defining document ownership and access levels
  5. Creating standardized templates for AI registers
  6. Maintaining audit trails for model updates
  7. Documenting training data sourcing and ethics
  8. Recording human oversight mechanisms
  9. Handling documentation in agile delivery models
  10. Using metadata tagging for record categorization
  11. Automating document generation from workflows
  12. Ensuring retention policies align with client SLAs
Module 5. Vendor and Third-Party Management
Apply ISO 42001 principles to vendor selection, onboarding, and performance monitoring for AI solutions.
12 chapters in this module
  1. Assessing vendor compliance with ISO 42001
  2. Including governance criteria in RFPs and SIGs
  3. Evaluating third-party model risk documentation
  4. Setting expectations for model explainability
  5. Defining vendor responsibilities in SoA statements
  6. Managing subcontractor governance obligations
  7. Auditing vendor adherence to agreed controls
  8. Handling model updates from external providers
  9. Establishing escalation paths for governance issues
  10. Integrating vendor assessment into procurement
  11. Creating scorecards for ongoing vendor review
  12. Contracting for audit rights and access
Module 6. Internal Audit and Readiness Evaluation
Prepare for ISO 42001 audits with realistic internal evaluation methods and continuous improvement cycles.
12 chapters in this module
  1. Planning internal audit cycles for AI systems
  2. Developing checklists based on clause requirements
  3. Sampling techniques for multi-account environments
  4. Assessing control effectiveness beyond documentation
  5. Using interviews to validate governance adoption
  6. Identifying gaps before external audit begins
  7. Tracking findings to resolution with evidence
  8. Creating audit simulation scenarios
  9. Preparing teams for auditor interviews
  10. Reviewing statements of applicability for accuracy
  11. Aligning internal findings with client feedback
  12. Reporting results to governance steering committees
Module 7. Statement of Applicability Development
Create defensible, client-ready Statements of Applicability that reflect actual system implementation and risk posture.
12 chapters in this module
  1. Determining control applicability per use case
  2. Justifying exclusions with documented rationale
  3. Aligning SoA scope with deployment boundaries
  4. Including human-in-the-loop considerations
  5. Addressing model lifecycle monitoring
  6. Documenting data provenance and quality controls
  7. Incorporating client-specific regulatory needs
  8. Referencing industry-specific precedents
  9. Versioning SoA across model iterations
  10. Using templates for faster SoA generation
  11. Validating SoA completeness with peer review
  12. Presenting SoA to client assurance teams
Module 8. AI System Lifecycle Governance
Apply ISO 42001 controls across the full AI system lifecycle , from design to decommissioning.
12 chapters in this module
  1. Governance requirements for concept phase
  2. Control objectives during development and testing
  3. Pre-deployment review gates and approvals
  4. Monitoring model drift and performance decay
  5. Handling feedback loops from end users
  6. Updating documentation for model retraining
  7. Managing version control for AI models
  8. Defining decommissioning criteria and process
  9. Auditing historical model decisions
  10. Ensuring continuity during system handover
  11. Tracking changes to training data sources
  12. Maintaining governance records post-retirement
Module 9. Human Oversight and Accountability
Design human oversight mechanisms that satisfy ISO 42001 requirements and deliver real-world accountability.
12 chapters in this module
  1. Defining roles for human reviewers
  2. Setting thresholds for intervention
  3. Designing escalation paths for model errors
  4. Training staff on oversight responsibilities
  5. Documenting review frequency and criteria
  6. Using dashboards to support oversight
  7. Balancing automation with human judgment
  8. Ensuring diversity in oversight panels
  9. Capturing rationale for override decisions
  10. Auditing human intervention patterns
  11. Improving oversight based on incident reviews
  12. Integrating oversight into incident response
Module 10. Transparency and Explainability Implementation
Implement transparent AI governance practices that meet ISO 42001 expectations and build client trust.
12 chapters in this module
  1. Defining transparency levels per AI use case
  2. Documenting model decision logic for auditors
  3. Creating user-facing explanations
  4. Using SHAP and LIME for interpretability
  5. Managing trade-offs between accuracy and explainability
  6. Storing technical rationale for model outputs
  7. Providing access to explanation tools
  8. Training users on interpreting AI outputs
  9. Handling confidential model details
  10. Aligning explanations with client literacy
  11. Updating explanations after model changes
  12. Auditing explanation consistency over time
Module 11. Continuous Monitoring and Improvement
Establish ongoing monitoring and feedback loops that drive continuous improvement in AI governance.
12 chapters in this module
  1. Setting KPIs for AI governance effectiveness
  2. Monitoring model performance and fairness
  3. Collecting user feedback systematically
  4. Reviewing incidents to update governance
  5. Updating risk assessments after changes
  6. Scheduling periodic governance reviews
  7. Using automation to detect control drift
  8. Benchmarking against industry peers
  9. Reporting governance maturity to leadership
  10. Incorporating lessons from external audits
  11. Updating playbooks based on real events
  12. Planning for future revisions of ISO 42001
Module 12. Certification and External Audit Preparation
Navigate the certification process with confidence by preparing complete, coherent submissions aligned with ISO 42001.
12 chapters in this module
  1. Selecting certification bodies and auditors
  2. Scheduling stages of external audit
  3. Compiling documentation packages for auditors
  4. Preparing staff for interview sessions
  5. Responding to auditor findings
  6. Addressing non-conformities efficiently
  7. Demonstrating continuous improvement
  8. Leveraging certification in client proposals
  9. Maintaining certification through surveillance
  10. Renewing certification with updated evidence
  11. Sharing certification benefits across accounts
  12. Using certification status in competitive differentiation

How this maps to your situation

  • Global services delivery complexity
  • Client-facing compliance assurance
  • Cross-functional implementation challenges
  • Vendor and third-party governance

Before vs. after

Before
Uncertainty in how to structure AI governance artefacts that satisfy both technical teams and auditors
After
Confidence in producing ISO 42001-aligned documentation that supports delivery and withstands scrutiny

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 90 minutes per module, designed for flexible completion over weekends or focused work blocks.

If nothing changes
Without structured governance, AI initiatives risk delays during assurance reviews, rework during audits, or misalignment with client compliance expectations.

How this compares to the alternatives

Unlike generic AI ethics guides, this course provides actionable, ISO 42001-aligned templates and real-world precedent mappings specifically for technology practitioners in global services firms.

Frequently asked

Is this course focused on technical implementation or policy writing?
It bridges both , you'll learn how to write defensible documentation while grounding it in real technical constraints and delivery realities.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I be able to use this for client engagements?
Yes , the templates and playbooks are designed for direct use in client-facing governance discussions and audit preparation.
$199 one-time. Approximately 90 minutes per module, designed for flexible completion over weekends or focused work blocks..

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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