Skip to main content
Image coming soon

DAT6206 Mastering ISO 42001 for Sr Data Engineers in Global Technology Organizations

$199.00
Adding to cart… The item has been added

What is the ISO 42001 for Sr Data Engineers course about?

Design ISO 42001-compliant AI governance frameworks tailored to multi-region data flows Lead alignment across data, infrastructure, and compliance teams using standardized control mappings Produce audit-ready documentation that scales across business units Deploy repeatable governance templates across cloud and on-prem environments Earn recognition as the go-to practitioner for enterprise-wide AI governance decisions.

What do you take away from the ISO 42001 for Sr Data Engineers course?

Design ISO 42001-compliant AI governance frameworks tailored to multi-region data flows Lead alignment across data, infrastructure, and compliance teams using standardized control mappings Produce audit-ready documentation that scales across business units Deploy repeatable governance templates across cloud and on-prem environments Earn recognition as the go-to practitioner for enterprise-wide AI governance decisions.

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 Sr Data Engineers 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 2-3 hours per week over 12 weeks to complete all modules and apply templates.

How does this compare to the alternatives?

Unlike generic AI ethics courses or high-level compliance overviews, this course provides actionable, step-by-step guidance tailored to senior data engineers implementing ISO 42001 in complex, distributed environments.

What does the ISO 42001 for Sr Data Engineers cover on frequently asked?

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

How is the ISO 42001 for Sr Data Engineers delivered?

The ISO 42001 for Sr Data Engineers is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. A certificate of completion is issued by The Art of Service when you finish.

How much does the ISO 42001 for Sr Data Engineers cost?

The ISO 42001 for Sr Data Engineers is $199 as a one time payment. There is no subscription and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: ISO 27701 for Principal Engineers in Global Engineering, COBIT for Software Engineers in Global Technology, COBIT for Engineering Directors in Global Product, ISO 27001 for Software Engineers in Global Product.

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

A tailored course, built for your situation

Mastering ISO 42001 for Sr Data Engineers in Global Technology Organizations

Build AI governance systems that scale across regions, business units, and technical teams with confidence

$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 Data Engineer in a global technology services organization responsible for scalable data systems and governance alignment

Who this is not for

Entry-level engineers or practitioners focused solely on local team delivery without cross-functional scope

What you walk away with

  • Design ISO 42001-compliant AI governance frameworks tailored to multi-region data flows
  • Lead alignment across data, infrastructure, and compliance teams using standardized control mappings
  • Produce audit-ready documentation that scales across business units
  • Deploy repeatable governance templates across cloud and on-prem environments
  • Earn recognition as the go-to practitioner for enterprise-wide AI governance decisions

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 Scope and Relevance
Define the boundaries of AI governance under ISO 42001 and identify alignment points with existing data architecture.
12 chapters in this module
  1. Scope definition
  2. AI system categorization
  3. Mapping to data domains
  4. Identifying regulated use cases
  5. Stakeholder landscape
  6. Control objectives
  7. Exclusions rationale
  8. Integration with data lifecycle
  9. Risk-based approach
  10. Baseline assessment
  11. Gap analysis method
  12. Roadmap framing
Module 2. Governance Structure Design
Establish organizational oversight models that meet ISO 42001 requirements while respecting engineering autonomy.
12 chapters in this module
  1. Roles and responsibilities
  2. Cross-functional coordination
  3. Decision rights framework
  4. Escalation paths
  5. Change review board
  6. Documentation ownership
  7. Version control policy
  8. Audit trail standards
  9. Review cycles
  10. Feedback integration
  11. Training requirements
  12. Compliance monitoring
Module 3. Asset Management for AI Systems
Track AI components, data flows, and metadata across environments in alignment with ISO 42001 control A.17.
12 chapters in this module
  1. Inventory creation
  2. Data lineage mapping
  3. Model registry design
  4. Version tracking
  5. Dependency mapping
  6. Ownership assignment
  7. Lifecycle stages
  8. Decommissioning process
  9. Access control
  10. Classification schema
  11. Retention rules
  12. Audit readiness
Module 4. AI Risk Assessment Framework
Build a repeatable process for identifying and prioritizing AI-related risks across business functions.
12 chapters in this module
  1. Threat modeling
  2. Bias assessment
  3. Transparency scoring
  4. Impact analysis
  5. Stakeholder input
  6. Risk register
  7. Likelihood evaluation
  8. Severity matrix
  9. Mitigation strategy
  10. Third-party risk
  11. Scenario testing
  12. Ongoing monitoring
Module 5. Data Privacy and Protection Alignment
Ensure AI systems comply with privacy standards while maintaining performance and usability.
12 chapters in this module
  1. PII identification
  2. Anonymization techniques
  3. Consent tracking
  4. DSAR integration
  5. Data minimization
  6. Purpose limitation
  7. Retention enforcement
  8. Cross-border rules
  9. Processor agreements
  10. Audit logging
  11. Breach preparedness
  12. Privacy by design
Module 6. Model Development Lifecycle
Structure development phases to embed ISO 42001 controls from design through deployment.
12 chapters in this module
  1. Requirement specification
  2. Design review
  3. Code standards
  4. Testing protocols
  5. Validation criteria
  6. Documentation templates
  7. Approval gates
  8. Version control
  9. Reproducibility
  10. Model signing
  11. Promotion workflow
  12. Rollback readiness
Module 7. System Deployment and Monitoring
Operationalize AI governance in production environments with real-time observability.
12 chapters in this module
  1. Deployment checklists
  2. Health monitoring
  3. Performance tracking
  4. Bias drift detection
  5. Feedback loops
  6. Incident response
  7. Alerting rules
  8. Auto-remediation
  9. Maintenance windows
  10. Update validation
  11. Decommissioning
  12. Post-mortem process
Module 8. Human-AI Interaction Controls
Design interfaces and workflows that ensure appropriate human oversight.
12 chapters in this module
  1. Role definitions
  2. Review thresholds
  3. Override mechanisms
  4. Escalation paths
  5. Training requirements
  6. Performance feedback
  7. Audit logging
  8. Duty rotation
  9. Error reporting
  10. User support
  11. Accessibility
  12. Interface standards
Module 9. Third-Party AI Governance
Extend ISO 42001 principles to vendor-managed AI systems and outsourced development.
12 chapters in this module
  1. Vendor selection
  2. Contract clauses
  3. Due diligence
  4. Audit rights
  5. Performance SLAs
  6. Transparency expectations
  7. Data handling
  8. Incident response
  9. Exit planning
  10. Oversight model
  11. Compliance verification
  12. Relationship management
Module 10. Incident Response and Recovery
Prepare for AI-related incidents with structured response and recovery playbooks.
12 chapters in this module
  1. Incident classification
  2. Detection systems
  3. Alert triage
  4. Response team
  5. Containment steps
  6. Forensic collection
  7. Stakeholder comms
  8. Regulatory reporting
  9. Recovery planning
  10. Post-incident review
  11. Lessons learned
  12. Playbook updates
Module 11. Internal Audit and Assurance
Conduct effective audits that validate AI governance effectiveness.
12 chapters in this module
  1. Audit planning
  2. Scope definition
  3. Checklist design
  4. Evidence collection
  5. Interview techniques
  6. Control testing
  7. Gap identification
  8. Reporting standards
  9. Follow-up process
  10. Continuous monitoring
  11. Tooling options
  12. Audit trail
Module 12. Certification and External Audit Readiness
Prepare your organization for formal ISO 42001 certification audit.
12 chapters in this module
  1. Pre-certification review
  2. Documentation package
  3. Evidence compilation
  4. Audit readiness
  5. Mock audits
  6. Gap remediation
  7. Stakeholder alignment
  8. External auditor
  9. Finding response
  10. Corrective actions
  11. Certification decision
  12. Post-certification

How this maps to your situation

  • Designing enterprise-wide AI governance systems
  • Leading cross-functional compliance initiatives
  • Scaling data governance across regions
  • Preparing for formal certification audits

Before vs. after

Before
Operating within team-specific data governance practices with limited reach
After
Leading standardized AI governance adoption across multiple business units and regions

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 2-3 hours per week over 12 weeks to complete all modules and apply templates

How this compares to the alternatives

Unlike generic AI ethics courses or high-level compliance overviews, this course provides actionable, step-by-step guidance tailored to senior data engineers implementing ISO 42001 in complex, distributed environments.

Frequently asked

Is this course relevant for data engineers not directly involved in AI projects?
Yes, the principles apply to any data system where governance, traceability, and compliance are critical, especially as AI integration expands across platforms.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I be able to apply this directly to my current role?
Yes, every module includes templates and examples designed for immediate use in global technology organizations.
$199 one-time. Approximately 2-3 hours per week over 12 weeks to complete all modules and apply templates.

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
!