A tailored course, built for your situation
Mastering ISO 42001 for Senior Lead Software Engineers
Build AI governance frameworks that scale across product lines and regional teams
$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 Lead Software Engineer in a EU-based technology services firm, leading technical delivery and system architecture with growing responsibility for AI governance and compliance frameworks
Who this is not for
Junior developers, non-technical compliance staff, or practitioners without responsibility for system design or cross-team influence
What you walk away with
- Design ISO 42001-compliant AI governance frameworks tailored to distributed engineering teams
- Produce auditable statements of applicability that gain sign-off across business units
- Lead cross-functional implementation workshops with product, security, and compliance teams
- Embed governance controls directly into CI/CD pipelines and architecture reviews
- Serve as the recognized internal expert for AI accountability and regulatory readiness
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI Governance Landscape
Understand the global emergence of AI governance and how ISO 42001 positions engineering leaders as central architects of compliance and trust. Explore real-world implementations across EU tech firms and client delivery environments.
12 chapters in this module
- What ISO 42001 means for software engineers
- How AI accountability shifts engineering decisions
- The role of lead engineers in governance adoption
- EU regulatory drivers behind ISO 42001
- Mapping AI risks to technical controls
- From principles to working systems
- Comparing ISO 42001 to internal standards
- Stakeholder expectations across regions
- Engineering-first compliance mindset
- Documenting technical rationale
- Versioning governance frameworks
- Preparing for auditor questions
Module 2. Scoping AI Systems Under ISO 42001
Learn how to define system boundaries for AI governance in multi-product environments. Focus on practical scoping techniques for software teams delivering AI features across client projects and internal platforms.
12 chapters in this module
- Identifying AI components in software systems
- Drawing system boundaries for audits
- Handling third-party AI models
- Defining internal vs external use cases
- Documenting data flows
- Classifying AI risk levels
- Scoping across product variants
- Tracking model versions
- Managing edge cases
- Aligning scope with client contracts
- Common pitfalls in boundary definition
- Working with legal teams
Module 3. Establishing Organizational Controls
Implement organizational-level policies and roles that ensure AI governance is maintained across engineering teams. Learn how to define responsibilities, training requirements, and oversight mechanisms that scale.
12 chapters in this module
- Assigning AI governance roles
- Defining escalation paths
- Training engineering teams
- Setting review cadences
- Documenting decision rights
- Managing role changes
- Integrating with existing policies
- Handling exceptions
- Maintaining documentation
- Conducting readiness checks
- Updating control baselines
- Reporting governance status
Module 4. Building Technical Control Frameworks
Translate ISO 42001 requirements into technical implementation patterns. Focus on secure development, testing, deployment, and monitoring practices tailored to AI-enabled applications.
12 chapters in this module
- Secure AI development lifecycle
- Model validation requirements
- Data quality controls
- Bias testing protocols
- Explainability integration
- Logging AI decisions
- Monitoring for drift
- Secure deployment pipelines
- Access controls for models
- Version control for AI assets
- Incident response planning
- Post-mortem analysis
Module 5. Conducting Risk Assessments for AI Systems
Apply structured risk assessment methods to AI deployments. Learn how to evaluate ethical, operational, and regulatory risks across different business units and client projects.
12 chapters in this module
- AI risk categories
- Stakeholder impact analysis
- Legal and regulatory risks
- Reputation risk factors
- Operational failure modes
- Scoring risk severity
- Documenting risk decisions
- Getting stakeholder input
- Updating risk registers
- Linking risks to controls
- Third-party risk evaluation
- Maintaining risk documentation
Module 6. Creating the Statement of Applicability
Build a clear, auditable SoA that justifies which ISO 42001 controls apply and why. Focus on crafting documentation that gains trust across technical and non-technical stakeholders.
12 chapters in this module
- Purpose of the SoA
- Listing applicable controls
- Justifying exclusions
- Linking to technical evidence
- Writing for auditors
- Versioning the document
- Getting sign-off
- Maintaining accuracy
- Sharing across teams
- Using templates
- Automating updates
- Responding to requests
Module 7. Integrating Governance into CI CD Pipelines
Embed ISO 42001 compliance checks directly into automated build and deployment workflows. Learn how to make governance part of the engineering culture rather than a separate audit process.
12 chapters in this module
- Identifying pipeline checkpoints
- Automated model validation
- Security scanning integration
- Policy as code implementation
- Gatekeeping deployments
- Generating compliance evidence
- Alerting on violations
- Managing false positives
- Updating rulesets
- Documenting pipeline controls
- Training engineers
- Auditing pipeline logs
Module 8. Managing Third Party AI Components
Ensure compliance when using external AI models, APIs, or vendor tools. Learn how to assess, monitor, and govern third-party components within ISO 42001 frameworks.
12 chapters in this module
- Vendor due diligence
- Contractual obligations
- Auditing third-party models
- Monitoring performance
- Handling data sharing
- Assessing bias claims
- Managing updates
- Tracking licensing
- Incident coordination
- Exit strategies
- Maintaining records
- Reporting dependencies
Module 9. Conducting Internal Audits and Reviews
Lead internal assessments of AI governance maturity. Develop audit checklists, evidence collection methods, and improvement plans that drive continuous compliance.
12 chapters in this module
- Planning audit cycles
- Selecting audit samples
- Preparing documentation
- Interviewing teams
- Evaluating evidence
- Reporting findings
- Prioritizing gaps
- Tracking remediation
- Communicating results
- Updating controls
- Maintaining independence
- Preparing for external audits
Module 10. Preparing for External Certification
Navigate the ISO 42001 certification process with confidence. Understand auditor expectations, evidence requirements, and common pitfalls when seeking formal accreditation.
12 chapters in this module
- Selecting certification bodies
- Documenting compliance
- Preparing audit trails
- Scheduling assessments
- Responding to findings
- Maintaining readiness
- Handling non-conformities
- Updating policies
- Training auditors
- Presenting evidence
- Post-certification maintenance
- Renewal preparation
Module 11. Scaling Governance Across Teams
Extend AI governance practices beyond the core engineering group. Learn how to adapt frameworks for different product lines, regional offices, and client teams while maintaining consistency.
12 chapters in this module
- Tailoring frameworks locally
- Training new teams
- Sharing best practices
- Managing variations
- Central oversight model
- Local autonomy balance
- Cross-team workshops
- Knowledge transfer
- Measuring adoption
- Gathering feedback
- Iterating governance
- Scaling documentation
Module 12. Sustaining AI Governance Over Time
Ensure long-term effectiveness of AI governance frameworks. Focus on continuous improvement, leadership alignment, and adapting to evolving regulations and technology.
12 chapters in this module
- Reviewing framework effectiveness
- Updating controls
- Tracking regulatory changes
- Engaging leadership
- Training new hires
- Maintaining documentation
- Measuring success
- Gathering metrics
- Reporting progress
- Adapting to new tech
- Handling organizational changes
- Building institutional memory
How this maps to your situation
- When launching a new AI product line
- Before a client audit or compliance review
- During internal governance rollout
- When expanding to new regions
Before vs. after
Before
AI governance efforts remain siloed within individual projects, with inconsistent documentation and limited visibility across teams.
After
You lead standardized, auditable AI governance frameworks adopted across multiple business units and regional offices, enhancing compliance and product trust.
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 self-paced learning over 6-8 weeks with immediate access to all materials.
How this compares to the alternatives
Unlike generic compliance training or academic courses, this program delivers actionable, engineering-focused implementation patterns for ISO 42001, with templates and workflows tailored to senior software leads in client-facing tech organizations.
Frequently asked
Is this course suitable for engineers without prior compliance experience?
Yes. It starts with foundational concepts and builds to advanced implementation, specifically designed for technical leads navigating governance requirements.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will the templates work in my organization’s environment?
Yes. They are designed to be adaptable across client delivery models, internal platforms, and regional variations, with guidance on customization.
$199 one-time. Approximately 3 hours per module, designed for self-paced learning over 6-8 weeks with immediate access to all materials..
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