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DAT7842 Mastering ISO 42001 for Senior Principal Product Managers

$199.00
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What is the ISO 42001 for Senior Principal Product course about?

Senior Principal Product Manager at a global enterprise tech firm, responsible for translating strategic requirements into technical specifications with governance and compliance implications.

Who is the ISO 42001 for Senior Principal Product course for?

Senior Principal Product Manager at a global enterprise tech firm, responsible for translating strategic requirements into technical specifications with governance and compliance implications.

What do you take away from the ISO 42001 for Senior Principal Product course?

Produce ISO 42001-aligned AI governance artefacts that require no rework across projects Reuse control mappings, risk assessments, and stakeholder analyses across product lines Turn deliverables into standardized templates that accelerate future cycles Build a personal IP library of governance patterns applicable across domains Position yourself as the go-to practitioner for AI governance scalability.

What's included with your purchase?

12 modules with 12 chapters each (144 chapters total) 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 Senior Principal Product 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 3-4 hours per module, with flexible pacing over 6-8 weeks.

How does this compare to the alternatives?

Unlike generic AI ethics courses, this program delivers concrete, reusable frameworks aligned with ISO 42001, specifically for senior product managers shaping enterprise AI systems.

What does the ISO 42001 for Senior Principal Product 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 Senior Principal Product delivered?

The ISO 42001 for Senior Principal Product 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.

Closely related courses: Product Governance for Principal Product Managers, Product Governance for Senior Principal Product Managers, OWASP for Principal Product Managers, Design Governance for Principal Product Leaders.

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

A tailored course, built for your situation

Mastering ISO 42001 for Senior Principal Product Managers

Build an AI governance asset that compounds across product cycles

$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 Principal Product Manager at a global enterprise tech firm, responsible for translating strategic requirements into technical specifications with governance and compliance implications

Who this is not for

Entry-level product staff, non-technical strategists, or consultants without hands-on governance implementation experience

What you walk away with

  • Produce ISO 42001-aligned AI governance artefacts that require no rework across projects
  • Reuse control mappings, risk assessments, and stakeholder analyses across product lines
  • Turn deliverables into standardized templates that accelerate future cycles
  • Build a personal IP library of governance patterns applicable across domains
  • Position yourself as the go-to practitioner for AI governance scalability

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in Product Development
Understand how ISO 42001 principles integrate into product lifecycle planning and technical specification design.
12 chapters in this module
  1. What ISO 42001 covers
  2. Linking AI governance to product scope
  3. Identifying AI system boundaries
  4. Core terminology alignment
  5. Governance vs ethics distinctions
  6. Mapping roles in product teams
  7. Baseline requirements gathering
  8. Stakeholder input protocols
  9. Internal vs external drivers
  10. Compliance as product enabler
  11. Traceability from strategy
  12. Documenting governance intent
Module 2. Risk Assessment for AI Systems
Conduct repeatable risk assessments aligned with ISO 42001 controls using product-level data.
12 chapters in this module
  1. Identifying AI risk sources
  2. Categorizing harm types
  3. Assessing likelihood and impact
  4. Linking risks to use cases
  5. Documenting risk treatment plans
  6. Establishing risk acceptance criteria
  7. Stakeholder validation steps
  8. Risk register structure
  9. Updating assessments over time
  10. Cross-product risk patterns
  11. Risk escalation triggers
  12. Integrating with security reviews
Module 3. Data Governance for AI Models
Apply ISO 42001 data requirements to training, validation, and monitoring workflows.
12 chapters in this module
  1. Data quality standards
  2. Provenance tracking methods
  3. Bias assessment protocols
  4. Data lifecycle controls
  5. Training data documentation
  6. Validation data separation
  7. Monitoring data pipelines
  8. Data retention policies
  9. Third-party data handling
  10. Annotator management
  11. Data access governance
  12. Audit trail requirements
Module 4. AI System Documentation Frameworks
Create living documentation that satisfies ISO 42001 and scales across product lines.
12 chapters in this module
  1. System description templates
  2. Technical specification alignment
  3. Version-controlled documentation
  4. Update frequency standards
  5. Internal audit readiness
  6. External reviewer access
  7. Automated doc generation
  8. Modular content design
  9. Cross-referencing controls
  10. Linking to deployment logs
  11. Maintaining accuracy
  12. Documentation ownership
Module 5. Transparency and Explainability Design
Embed explainability into AI systems to meet ISO 42001 transparency requirements.
12 chapters in this module
  1. User communication standards
  2. Explainability methods by model type
  3. Documentation of logic
  4. Human oversight interfaces
  5. Right to explanation handling
  6. Stakeholder disclosure levels
  7. Model card implementation
  8. Fact sheet for AI systems
  9. Bias explanation protocols
  10. Performance transparency
  11. Limitations disclosure
  12. Update notification systems
Module 6. Human-AI Interaction Controls
Design for human oversight and intervention in line with ISO 42001.
12 chapters in this module
  1. Role definition for oversight
  2. Intervention workflow design
  3. Training for human operators
  4. Alerting mechanism standards
  5. Decision logging
  6. Fallback procedure setup
  7. Usability testing for controls
  8. Monitoring human workload
  9. Escalation path clarity
  10. Responsibility boundaries
  11. Audit of human decisions
  12. Performance feedback loops
Module 7. Robustness and Accuracy Management
Implement testing and monitoring for AI system reliability under ISO 42001.
12 chapters in this module
  1. Performance metric selection
  2. Testing under edge cases
  3. Accuracy monitoring in production
  4. Model drift detection
  5. Retraining triggers
  6. Failure mode analysis
  7. Security robustness checks
  8. Input validation design
  9. Adversarial testing
  10. System resilience standards
  11. Error handling protocols
  12. Recovery procedure documentation
Module 8. Privacy and Data Protection Integration
Align AI systems with privacy laws and ISO 42001 data handling rules.
12 chapters in this module
  1. PIA integration process
  2. Data minimization in AI
  3. Anonymization techniques
  4. Consent linkage
  5. Data subject rights handling
  6. Cross-border data flows
  7. Encryption standards
  8. Access control design
  9. Data breach response
  10. Retention and deletion
  11. Vendor data governance
  12. Audit of data practices
Module 9. Accountability and Oversight Structures
Establish clear accountability frameworks for AI governance across teams.
12 chapters in this module
  1. Role definition for AI governance
  2. Oversight committee design
  3. Escalation pathways
  4. Internal audit coordination
  5. External reviewer engagement
  6. Compliance monitoring frequency
  7. Performance reporting metrics
  8. Stakeholder feedback loops
  9. Continuous improvement cycles
  10. Lessons learned integration
  11. Third-party assessment prep
  12. Certification readiness
Module 10. Reusable Artefact Design
Turn one-off deliverables into compoundable governance assets.
12 chapters in this module
  1. Template identification
  2. Modular content blocks
  3. Version control strategy
  4. Cross-project applicability
  5. Stakeholder input reuse
  6. Risk pattern libraries
  7. Control mapping repositories
  8. Automated generation tools
  9. Governance playbook structure
  10. Knowledge transfer methods
  11. Ownership and maintenance
  12. Scaling through reuse
Module 11. Stakeholder Communication Frameworks
Standardize outreach and reporting for AI governance across initiatives.
12 chapters in this module
  1. Stakeholder mapping
  2. Communication frequency
  3. Reporting formats
  4. Escalation protocols
  5. Feedback collection
  6. Alignment with leadership
  7. Cross-functional messaging
  8. External disclosure standards
  9. Regulator communication
  10. Crisis messaging
  11. Success story sharing
  12. Governance transparency
Module 12. Continuous Improvement and Review
Build feedback loops that strengthen governance over time.
12 chapters in this module
  1. Post-deployment review cycles
  2. Performance metric tracking
  3. Stakeholder feedback integration
  4. Incident analysis process
  5. Control effectiveness review
  6. Update planning
  7. Lessons learned documentation
  8. Process refinement
  9. Tooling improvement
  10. Training updates
  11. Benchmarking against peers
  12. Certification maintenance

How this maps to your situation

  • Developing technical product specifications
  • Aligning with Oracle Product Strategy
  • Managing internal and external requirements
  • Scaling governance across product lines

Before vs. after

Before
One-off governance efforts that don't scale across product cycles
After
Reusable artefacts and IP that compound value with each delivery

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters total)
  • 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 3-4 hours per module, with flexible pacing over 6-8 weeks.

If nothing changes
Without structured reuse, each project restarts governance work from zero, increasing effort and reducing strategic impact.

How this compares to the alternatives

Unlike generic AI ethics courses, this program delivers concrete, reusable frameworks aligned with ISO 42001, specifically for senior product managers shaping enterprise AI systems.

Frequently asked

Is this course about passing an ISO 42001 audit?
It's about turning your deliverables into assets. Audit readiness is a byproduct of systematic, reusable governance design.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work for non-AI products too?
The frameworks apply to any system requiring rigorous governance, especially those with autonomous or adaptive behavior.
$199 one-time. Approximately 3-4 hours per module, with flexible pacing over 6-8 weeks..

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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