A tailored course, built for your situation
Mastering ISO 42001 for Software Engineering Quality Leaders
Build AI governance frameworks that ship faster and stand up to internal and external scrutiny
$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.
Too many AI governance efforts stall in review cycles or get sent back for rework due to unclear ownership
The situation this course is for
Teams waste time revising documentation because no one has clear authority over control decisions. Frameworks lack consistency, and engineering leads are forced to escalate routine updates. This slows delivery and undermines confidence in the function.
Who this is for
Senior technical leader in software engineering or quality assurance, responsible for AI system compliance and governance in regulated environments
Who this is not for
Individual contributors without decision rights, junior compliance analysts, or practitioners outside software engineering and quality domains
What you walk away with
- Own final approval of control mappings in ISO 42001 documentation
- Lead internal audit readiness without senior escalation
- Initiate and close vendor AI compliance assessments independently
- Document and justify framework decisions with source-backed reasoning
- Ship complete AI governance packages on time, every cycle
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Software Quality
Understand the core structure and intent of ISO 42001 as it applies to software engineering quality teams in financial services.
12 chapters in this module
- What ISO 42001 means for software quality
- Key differences from ISO 27001 and SOC 2
- Governance vs technical implementation
- Role of quality leadership in AI oversight
- Mapping AI risks to control domains
- Internal stakeholder expectations
- How Mastercard teams interpret compliance
- Common misconceptions about AI governance
- Linking quality KPIs to ISO 42001 outcomes
- Documentation standards for audits
- Version control for governance artefacts
- First steps in framework ownership
Module 2. Control Selection and Justification
Learn how to select, tailor, and justify controls based on system criticality and organizational risk appetite.
12 chapters in this module
- Determining scope for AI systems
- Baseline controls for machine learning
- Tailoring controls to quality workflows
- Documenting control exceptions
- Sourcing rationale from NIST AI RMF
- Benchmarking against peer institutions
- Vendor-driven control gaps
- Control overlap with PCI DSS
- Maintaining independence in review
- Handling conflicting stakeholder input
- When to escalate control decisions
- Final sign-off protocols
Module 3. Building the Statement of Applicability
Create a defensible SoA that aligns with engineering realities and passes internal and external scrutiny.
12 chapters in this module
- Structure of a compliant SoA
- Linking controls to AI system features
- Documenting in-scope and out-of-scope
- Using evidence from test environments
- Quality team input in documentation
- Versioning SoA across releases
- Review cycles with legal and compliance
- Handling auditor follow-ups
- Cross-referencing with SOC 2 reports
- Common audit findings and fixes
- SoA ownership transitions
- Archiving and retrieval protocols
Module 4. Internal Audit Readiness
Prepare your team and artefacts for audit cycles with confidence, reducing rework and delays.
12 chapters in this module
- Audit timelines and triggers
- Preparing evidence packs
- Scheduling walkthroughs with QA teams
- Role of test logs and traceability
- Addressing control gaps preemptively
- Using automation for evidence collection
- Internal review checklists
- Coordinating with external auditors
- Responding to auditor queries
- Post-audit action tracking
- Lessons from recent financial sector audits
- Maintaining audit readiness year-round
Module 5. Vendor AI Compliance Assessment
Evaluate third-party AI systems against ISO 42001 requirements with structured, repeatable processes.
12 chapters in this module
- Scope definition for vendor tools
- Assessing model transparency
- Reviewing vendor SoA submissions
- Evaluating bias detection methods
- Data provenance and lineage checks
- Security controls in AI pipelines
- Incident response expectations
- Contractual compliance obligations
- Ongoing monitoring requirements
- Scoring vendor performance
- Handling non-compliance findings
- Termination criteria for vendors
Module 6. Cross-Functional Alignment
Lead collaboration between engineering, compliance, legal, and product teams on AI governance.
12 chapters in this module
- Identifying key stakeholders
- Setting governance meeting cadence
- Creating shared documentation spaces
- Translating technical controls for legal
- Product team input in control design
- Handling conflicting priorities
- Escalation paths for deadlocks
- Using RACI in governance workflows
- Change management for updates
- Training non-technical stakeholders
- Measuring alignment effectiveness
- Maintaining momentum post-launch
Module 7. Policy to Implementation Workflow
Bridge the gap between high-level policy and working systems with practical implementation steps.
12 chapters in this module
- Translating ISO 42001 clauses to code
- Embedding controls in CI/CD pipelines
- Automated testing for governance checks
- Version control for policy artefacts
- Change tracking in production systems
- Rollback procedures for failed controls
- Monitoring control effectiveness
- Feedback loops from operations
- Updating policies based on findings
- Documenting implementation decisions
- Audit trail maintenance
- Handoff between teams
Module 8. Risk Assessment for AI Systems
Conduct thorough risk assessments tailored to AI-driven software in financial contexts.
12 chapters in this module
- Identifying AI-specific risks
- Categorizing by impact and likelihood
- Using FAIR for financial AI
- Bias and fairness evaluation
- Model drift detection
- Adversarial attack surface
- Third-party model risks
- Regulatory scrutiny likelihood
- Reputational risk factors
- Scoring and prioritizing risks
- Risk treatment options
- Documenting risk acceptance
Module 9. Documentation and Artefact Management
Maintain clear, versioned, and accessible documentation for all governance activities.
12 chapters in this module
- Document naming conventions
- Version control best practices
- Access control for sensitive artefacts
- Retention policies
- Searchable knowledge bases
- Cross-referencing between documents
- Audit trail requirements
- Automated documentation tools
- Handling updates across teams
- Decommissioning old artefacts
- Backup and recovery
- Compliance with records management
Module 10. Continuous Improvement and Feedback
Incorporate lessons learned into ongoing governance practices.
12 chapters in this module
- Post-audit review process
- Collecting stakeholder feedback
- Tracking control effectiveness
- Updating controls based on incidents
- Benchmarking against peers
- Industry trend monitoring
- Internal training updates
- Lessons from near-misses
- Improving response times
- Automation opportunities
- Feedback from vendor assessments
- Governance maturity models
Module 11. Leadership Communication and Reporting
Present governance status and risks to senior leaders with clarity and confidence.
12 chapters in this module
- Tailoring updates for executives
- Metrics that matter to leadership
- Visualizing risk and compliance
- Reporting frequency and format
- Handling difficult questions
- Escalating critical issues
- Balancing transparency and reassurance
- Linking governance to business goals
- Success stories and wins
- Lessons from incident responses
- Maintaining trust over time
- Preparing for executive reviews
Module 12. Sustaining Governance Through Change
Ensure governance resilience through team changes, system upgrades, and organizational shifts.
12 chapters in this module
- Onboarding new team members
- Knowledge transfer protocols
- Documentation that survives turnover
- Handling leadership changes
- Mergers and acquisitions impact
- System migration planning
- Cloud transition considerations
- Regulatory change adaptation
- Budget cycle alignment
- Maintaining focus during crises
- Succession planning
- Governance as organizational memory
How this maps to your situation
- Preparing for first ISO 42001 audit
- Leading cross-functional AI governance team
- Responding to vendor AI compliance requests
- Updating internal policies post-review
Before vs. after
Before
Governance decisions require multiple approvals, documentation lacks consistency, and audit cycles cause delays.
After
You own the framework, sign off on controls, and ship compliant AI systems on schedule with full stakeholder confidence.
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 working professionals , total time investment: 36 hours over 12 weeks.
If nothing changes
Without clear ownership, AI governance efforts remain reactive, prone to rework, and vulnerable to escalation bottlenecks that delay delivery and erode trust.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to software engineering quality leaders in financial services, with concrete tools for owning ISO 42001 decisions without escalation.
Frequently asked
Is this course focused on technical or compliance aspects of AI governance?
It bridges both, with emphasis on decision ownership and artefact creation for compliance, grounded in software engineering quality workflows.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me if my team is not yet using ISO 42001?
Yes , it prepares you to lead the adoption and own the framework from day one.
$199 one-time. Approximately 3 hours per module, designed for working professionals , total time investment: 36 hours over 12 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