A tailored course, built for your situation
Direct Authority to Approve AI Governance Controls Under ISO 42001
A 12-module program to own the AI governance sign-off process for regulated workloads
$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 cloud and platform practitioner with hands-on governance responsibilities, operating in regulated environments with AI workloads
Who this is not for
Individuals seeking introductory AI concepts or general compliance awareness without decision-making scope
What you walk away with
- Authority to approve AI control mappings without escalation
- Ownership of risk acceptance decisions for non-critical AI functions
- Final sign-off on third-party AI vendor compliance assessments
- Control over updates to AI policy frameworks within defined risk bands
- First review rights on internal audit findings related to AI governance
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Cloud AI Environments
Establish command over core terminology, structure, and integration points between ISO 42001 and cloud-native AI deployments on Azure. Understand how governance obligations map to platform responsibilities.
12 chapters in this module
- Defining AI system boundaries
- Mapping ISO 42001 clauses to cloud roles
- Understanding regulated AI functions
- Aligning with Azure policy controls
- Identifying AI-specific risk domains
- Differentiating AI from ML models
- Scope inclusion criteria
- Baseline control selection
- Ownership of control design
- Documentation hierarchy
- Integration with SOC 2 reporting
- Audit readiness benchmarks
Module 2. Governance Decision Frameworks
Learn the decision boundaries that define command in AI governance, including delegation thresholds, risk tolerance bands, and sign-off routines used in regulated environments.
12 chapters in this module
- Types of governance decisions
- Risk-based decision tiers
- Escalation thresholds
- Authority delegation models
- Sign-off workflows
- Documented decision logs
- Review cycles
- Peer validation triggers
- Policy exception criteria
- Control override conditions
- Stakeholder alignment
- Audit trail requirements
Module 3. AI Risk Assessment Ownership
Take full ownership of AI risk categorization exercises, including methodology selection, scoring consistency, and approval of residual risk decisions under ISO 42001 guidelines.
12 chapters in this module
- Risk assessment frameworks
- AI-specific threat modeling
- Likelihood calibration
- Impact scoring bands
- Scenario documentation
- Third-party input validation
- Automated risk scoring tools
- Human-in-the-loop review
- Residual risk acceptance
- Risk register updates
- Threshold adjustments
- Reporting cadence
Module 4. Control Mapping and Implementation Authority
Master how to independently map ISO 42001 controls to Azure configurations, approve control design choices, and document implementation evidence for audits.
12 chapters in this module
- Control-to-configuration mapping
- Azure Policy integration
- Automated control enforcement
- Manual control documentation
- Control effectiveness testing
- Evidence collection templates
- Audit preparation timelines
- Cross-platform control alignment
- Version control for controls
- Change approval workflows
- Deviation tracking
- Control ownership handovers
Module 5. Vendor and Third-Party Governance
Gain the authority to assess and accept third-party AI tools, APIs, and services against ISO 42001 requirements without requiring senior review.
12 chapters in this module
- Vendor assessment criteria
- Third-party risk questionnaires
- API compliance validation
- Data processing agreements
- Subprocessor oversight
- Security control verification
- Certification acceptance rules
- Onsite audit requirements
- Contractual terms
- Performance monitoring
- Exit planning
- Incident response coordination
Module 6. Policy Formulation and Updates
Lead the creation and revision of AI governance policies within defined risk envelopes, with no need for leadership approval on standard updates.
12 chapters in this module
- Policy structure standards
- Controlled vocabulary
- Versioning procedures
- Stakeholder consultation
- Legal compliance checks
- Internal dissemination
- Training integration
- Feedback loops
- Standard update approvals
- Emergency revision protocols
- Archival processes
- Compliance attestation
Module 7. Audit Response and Evidence Ownership
Take full responsibility for responding to internal and external audits, including selecting evidence, justifying control design, and accepting findings.
12 chapters in this module
- Audit request triage
- Evidence packet assembly
- Control justification writing
- Cross-team coordination
- Remediation timeline setting
- Finding severity classification
- Management reporting
- Regulator communication prep
- Audit trail validation
- Evidence retention rules
- Automated evidence collection
- Final response approval
Module 8. Incident Handling and Escalation Governance
Define and approve incident classification, response playbooks, and escalation thresholds for AI-related events under ISO 42001 requirements.
12 chapters in this module
- Incident categorization
- Severity thresholds
- Response team activation
- Notification procedures
- Data preservation
- Forensic readiness
- Legal hold triggers
- Root cause analysis
- Remediation validation
- Post-mortem requirements
- Escalation criteria
- Executive reporting
Module 9. Training and Awareness Oversight
Own the design, delivery, and validation of AI governance training programs tailored to technical teams operating under ISO 42001.
12 chapters in this module
- Training needs analysis
- Curriculum design
- Role-based modules
- Delivery formats
- Third-party training
- Completion tracking
- Knowledge validation
- Refresher cycles
- Awareness campaign design
- Metrics reporting
- Gap identification
- Feedback integration
Module 10. Continuous Monitoring and Improvement
Lead ongoing control monitoring, metric definition, and improvement initiatives for AI governance under ISO 42001 without requiring oversight.
12 chapters in this module
- KPI selection
- Dashboard design
- Automated alerting
- Trend analysis
- Control drift detection
- Benchmarking
- Gap closure
- Process refinement
- Stakeholder reporting
- Audit correlation
- Tool integration
- Improvement backlog
Module 11. Cross-Functional Governance Alignment
Command coordination with legal, security, data, and product teams on AI governance issues, ensuring ISO 42001 compliance without delays.
12 chapters in this module
- Governance forum leadership
- Stakeholder mapping
- Decision gate ownership
- Alignment templates
- Conflict resolution
- Joint control design
- Shared tooling
- Documentation standards
- Escalation paths
- Meeting cadence
- Accountability assignment
- Progress tracking
Module 12. Personal Command Playbook Development
Build your personalized implementation playbook with templates, decision logs, and authority assertions to institutionalize your governance command.
12 chapters in this module
- Playbook structure
- Decision log setup
- Template library
- Authority documentation
- Stakeholder onboarding
- Version control
- Access control
- Usage guidelines
- Feedback integration
- Integration with ITSM
- Success metrics
- Handover planning
How this maps to your situation
- When initiating a new AI workload on Azure
- Before third-party vendor integration
- During internal ISO 42001 audit preparation
- After organizational changes in governance leadership
Before vs. after
Before
Reactive involvement in AI governance discussions, dependent on approvals for control decisions and policy updates
After
Full authority to approve AI governance controls, lead audits, and shape policy direction under ISO 42001
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 hours per module, designed for deployment alongside active workloads
How this compares to the alternatives
Generic AI ethics courses lack decision authority frameworks. Internal training rarely grants sign-off rights. This course delivers structured command over ISO 42001 governance with actionable templates and proven decision boundaries.
Frequently asked
Who is this course designed for?
Practitioners with hands-on responsibility for AI governance in regulated environments, particularly those using Azure and platform services.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this include templates I can use immediately?
Yes , every module includes downloadable templates and worked examples, plus a custom implementation playbook delivered upon enrollment.
$199 one-time. Approximately 3 hours per module, designed for deployment alongside active workloads.
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