A tailored course, built for your situation
Deeper command of the ISO 42001 control framework
Master the structure, controls, and implementation patterns of ISO 42001 with precision
$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 DevOps and engineering leaders implementing AI governance frameworks in regulated environments
Who this is not for
Entry-level practitioners or those seeking surface-level overviews of AI standards
What you walk away with
- Complete command of ISO 42001 clause-by-clause control logic
- Ability to map technical controls directly to ISO 42001 requirements
- Confidence in leading internal audits and client readiness reviews
- Faster translation of policy into deployable architecture patterns
- Authority to shape AI governance strategy with standards-based reasoning
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI management system
Establish foundational knowledge of ISO 42001 scope, intent, and integration with DevOps workflows.
12 chapters in this module
- What ISO 42001 governs
- AI system lifecycle stages
- Relationship to other standards
- Core principles of AI governance
- Role of DevOps in compliance
- Mapping controls to pipelines
- Organizational context setup
- Leadership commitment requirements
- Understanding AI risk
- Controlled vs uncontrolled AI
- Documentation expectations
- Preparing for certification
Module 2. Clause 4 understanding context and scope
Define organizational and regulatory context for AI governance with precision.
12 chapters in this module
- Identifying interested parties
- AI system boundaries
- Scope documentation
- Regulatory landscape mapping
- Internal stakeholder mapping
- External dependencies
- Risk appetite alignment
- Compliance overlap analysis
- DevOps integration points
- Evidence collection strategy
- Controlled vocabulary setup
- Versioning governance
Module 3. Clause 5 leadership and organizational roles
Clarify leadership responsibilities and embed accountability into technical delivery.
12 chapters in this module
- Top management obligations
- AI policy ownership
- Accountability frameworks
- Role definitions
- DevOps leadership alignment
- Cross-functional coordination
- Policy communication
- Resource allocation
- Performance evaluation
- Internal reporting lines
- Escalation paths
- Success metrics
Module 4. Clause 6 planning for AI risks and opportunities
Systematically identify and prioritize AI-related risks and value drivers.
12 chapters in this module
- Risk assessment methodology
- Opportunity mapping
- Threat modeling integration
- Data quality risks
- Model drift detection
- Bias identification
- Security exposure points
- Compliance gaps
- Third-party AI risks
- Incident response planning
- Mitigation strategy design
- Risk register maintenance
Module 5. Clause 7 support and resource management
Ensure people, tools, and knowledge systems sustain compliance.
12 chapters in this module
- Competency requirements
- Training program design
- Awareness initiatives
- Documentation systems
- Toolchain alignment
- Version control
- Access management
- Knowledge retention
- Vendor oversight
- Internal audit readiness
- Resource planning
- Budget alignment
Module 6. Clause 8 operational control of AI systems
Implement technical and procedural controls across the AI lifecycle.
12 chapters in this module
- Development lifecycle controls
- Data provenance tracking
- Model validation
- Testing protocols
- Deployment gates
- Monitoring requirements
- Human oversight mechanisms
- Performance thresholds
- Feedback loop design
- Change management
- Incident logging
- Decommissioning process
Module 7. Clause 9 performance evaluation
Measure, monitor, and review AI system performance and compliance.
12 chapters in this module
- Monitoring KPIs
- Internal audit planning
- Compliance checks
- Model performance tracking
- Bias detection frequency
- Audit trail completeness
- Control effectiveness
- DevOps pipeline alignment
- Review meeting cadence
- Reporting templates
- Corrective action process
- Trend analysis
Module 8. Clause 10 improvement and nonconformity response
Drive continuous improvement through structured feedback and correction.
12 chapters in this module
- Nonconformity identification
- Root cause analysis
- Corrective action planning
- DevOps integration
- Incident response
- Lessons learned process
- Change implementation
- Control updates
- Audit finding resolution
- Performance feedback loops
- Version rollback planning
- Post-mortem documentation
Module 9. Control mapping across ISO 42001 and technical systems
Translate high-level controls into specific technical implementations.
12 chapters in this module
- Control-to-architecture mapping
- Pipeline integration
- CI/CD compliance gates
- Automated evidence collection
- Logging standards
- Access control alignment
- Model registry design
- Data lineage tools
- Audit readiness checks
- Policy as code
- Infrastructure as code
- Control automation
Module 10. Preparing for certification and external audit
Assemble documentation, evidence, and readiness for third-party assessment.
12 chapters in this module
- Audit timeline planning
- Documentation package
- Evidence collection
- Internal dry runs
- Gap analysis
- Stakeholder coordination
- Response templates
- DevOps team briefing
- Client-facing readiness
- Corrective action prep
- Compliance dashboard
- Final sign-off workflow
Module 11. Sustaining compliance across AI system lifecycle
Maintain compliance through updates, retraining, and system evolution.
12 chapters in this module
- Model retraining controls
- Data refresh governance
- Version change process
- Drift detection
- Performance degradation
- Human-in-the-loop updates
- Monitoring adjustments
- Control updates
- Audit trail maintenance
- Change documentation
- Stakeholder notification
- Decommissioning review
Module 12. Scaling AI governance across teams and programs
Replicate compliant AI practices across multiple teams and client engagements.
12 chapters in this module
- Pattern reuse
- Template development
- Knowledge sharing
- Cross-team alignment
- Client-specific adaptations
- Governance as code
- Centralized oversight
- DevOps team enablement
- Training at scale
- Compliance metrics
- Lessons learned repository
- Future-proofing
How this maps to your situation
- Implementing AI governance in federal client environments
- Leading DevOps compliance initiatives
- Preparing for ISO 42001 certification
- Scaling AI controls across multiple programs
Before vs. after
Before
Familiarity with ISO 42001 at a high level, but limited confidence in applying controls to technical systems
After
Complete command of the standard, with the ability to lead implementation and certification efforts
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 3-4 hours per module, designed for asynchronous learning alongside active projects.
If nothing changes
Without deeper mastery, reliance on external consultants or fragmented implementation may delay client deliverables and limit leadership opportunities.
How this compares to the alternatives
Unlike generic compliance overviews, this course provides clause-by-clause mastery of ISO 42001 with direct application to DevOps workflows and AI system implementation.
Frequently asked
Who is this course for?
Senior DevOps and engineering leaders implementing AI governance frameworks in regulated environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover other standards?
The focus is exclusively on ISO 42001, with references to related frameworks only where necessary for context.
$199 one-time. Approximately 3-4 hours per module, designed for asynchronous learning alongside active projects..
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