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DAT3277 Mastering ISO 42001 for Senior DevOps Engineers

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior DevOps Engineers

Build trusted AI governance frameworks that align with global standards and elevate your technical authority

$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.
Being excluded from AI governance discussions despite being closest to the systems

The situation this course is for

Technical leaders are often brought in too late to shape AI governance frameworks, resulting in misaligned controls, rework, and diminished influence on vendor selection and architecture decisions.

Who this is for

Senior DevOps Engineer with hands-on responsibility for system resilience and compliance, operating in a globally regulated environment

Who this is not for

Entry-level engineers, non-technical stakeholders, or those not involved in governance or framework implementation

What you walk away with

  • Lead ISO 42001 control mapping with precision and confidence
  • Shape vendor selection criteria based on compliance readiness
  • Present audit-ready documentation in cross-functional reviews
  • Drive AI governance decisions from a position of technical authority
  • Implement repeatable governance patterns across DevOps workflows

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 and the AI Governance Landscape
Understand the emergence of ISO 42001 as a global benchmark for trustworthy AI and its implications for DevOps-led environments.
12 chapters in this module
  1. What ISO 42001 means for engineering teams
  2. How it differs from ISO 27001 and SOC 2
  3. AI governance maturity levels
  4. Mapping compliance to CI/CD pipelines
  5. Role of DevOps in governance ownership
  6. Global regulatory drivers behind ISO 42001
  7. Vendor obligations under the standard
  8. Internal audit expectations
  9. Cross-functional alignment points
  10. Common implementation pitfalls
  11. Benchmarking against peer organizations
  12. Setting measurable success goals
Module 2. Core Principles of ISO 42001
Break down the seven core principles of the standard and link them to real engineering decisions.
12 chapters in this module
  1. Human oversight of AI systems
  2. Technical robustness and fairness
  3. Data quality and provenance
  4. Transparency in AI behavior
  5. Responsibility and accountability
  6. Non-discrimination and societal benefit
  7. Sustainability in AI deployment
  8. Mapping principles to control objectives
  9. DevOps relevance of each clause
  10. Evidence collection strategies
  11. Aligning with internal ethics boards
  12. Documenting design trade-offs
Module 3. Control Mapping for DevOps Workflows
Apply ISO 42001 controls directly to CI/CD, monitoring, and infrastructure-as-code practices.
12 chapters in this module
  1. CI/CD pipeline control points
  2. Versioning AI model artifacts
  3. Audit trail requirements
  4. Environment segregation standards
  5. Secrets and key management
  6. Automated compliance checks
  7. Logging and monitoring benchmarks
  8. Incident response integration
  9. Fail-safe rollback implementation
  10. Peer review gate design
  11. Control ownership matrix
  12. Cross-team validation workflows
Module 4. Stakeholder Alignment and Influence
Position yourself as the technical anchor in cross-functional AI governance discussions.
12 chapters in this module
  1. Identifying key decision-makers
  2. Speaking the language of compliance
  3. Building credibility with legal teams
  4. Presenting technical trade-offs clearly
  5. Navigating internal politics
  6. Influencing without authority
  7. Creating compelling documentation
  8. Running effective review meetings
  9. Anticipating pushback from peers
  10. Securing executive buy-in
  11. Driving consensus on risk appetite
  12. Documenting decisions and rationale
Module 5. Vendor Selection and Third-Party Governance
Take ownership of vendor assessments using ISO 42001 as a scoring framework.
12 chapters in this module
  1. Evaluating AI vendor compliance
  2. Requesting audit evidence
  3. Scoring third-party controls
  4. Contractual compliance clauses
  5. Right-to-audit negotiation
  6. Due diligence checklists
  7. Managing open-source dependencies
  8. Monitoring vendor updates
  9. Incident response coordination
  10. Exit strategy considerations
  11. Benchmarking vendor maturity
  12. Building preferred vendor lists
Module 6. Building the AI Governance Documentation Package
Assemble a comprehensive, audit-ready dossier aligned with ISO 42001 requirements.
12 chapters in this module
  1. Statement of Applicability
  2. Risk assessment methodology
  3. Control implementation records
  4. Evidence collection protocols
  5. Internal review checklist
  6. External auditor preparation
  7. Version control for documents
  8. Change approval workflows
  9. Document retention policies
  10. Cross-reference mapping
  11. Automating documentation updates
  12. Packaging for leadership review
Module 7. Internal Audit Readiness and Continuous Compliance
Design systems that pass internal audits without rework or last-minute fixes.
12 chapters in this module
  1. Predicting audit focus areas
  2. Control testing frequency
  3. Sampling methods for audits
  4. Remediation tracking systems
  5. Automated evidence generation
  6. Compliance dashboard design
  7. Audit communication protocols
  8. Post-audit action planning
  9. Continuous monitoring setup
  10. Alerting on control drift
  11. Reporting to compliance teams
  12. Maintaining audit trails
Module 8. Integrating ISO 42001 with Existing Frameworks
Align ISO 42001 with NIST CSF, SOC 2, and ISO 27001 without duplicating effort.
12 chapters in this module
  1. Control overlap mapping
  2. Single evidence for multiple standards
  3. Prioritizing control implementation
  4. Consolidated audit packages
  5. Cross-framework playbooks
  6. Shared documentation strategies
  7. Unified control ownership
  8. Efficiency benchmarks
  9. Avoiding compliance fatigue
  10. Tooling integration points
  11. Change management coordination
  12. Executive reporting alignment
Module 9. Leading Cross-Functional Governance Rollouts
Drive adoption of ISO 42001 across teams with minimal friction and maximum buy-in.
12 chapters in this module
  1. Identifying early adopters
  2. Change agent network design
  3. Training developers on controls
  4. Creating team-specific playbooks
  5. Pilot program design
  6. Scaling success stories
  7. Feedback loop implementation
  8. Celebrating compliance wins
  9. Addressing resistance proactively
  10. Measuring rollout effectiveness
  11. Iterating based on feedback
  12. Sustaining long-term adoption
Module 10. Implementing AI-Specific Controls
Apply targeted controls for model training, inference, and monitoring.
12 chapters in this module
  1. Model provenance tracking
  2. Bias detection protocols
  3. Explainability requirements
  4. Model version control
  5. Drift detection setup
  6. Human-in-the-loop design
  7. Red-team testing integration
  8. Testing for adversarial attacks
  9. Ensuring reproducibility
  10. Monitoring for concept drift
  11. Audit logging for inference
  12. Model decommissioning
Module 11. Creating Reusable Governance Artefacts
Build templates and playbooks that compound value across projects.
12 chapters in this module
  1. Template design principles
  2. Version-controlled playbooks
  3. Automated policy generation
  4. Standard operating procedures
  5. Checklist libraries
  6. Runbook integration
  7. Knowledge base structure
  8. Searchable documentation
  9. Team onboarding materials
  10. External auditor handouts
  11. Executive summary templates
  12. Lessons learned repository
Module 12. Sustaining and Evolving the AI Governance Program
Ensure long-term relevance and adaptability of your governance framework.
12 chapters in this module
  1. Change detection mechanisms
  2. Updating controls for new threats
  3. Staying current with ISO updates
  4. Engaging with standards bodies
  5. Building internal expertise
  6. Succession planning
  7. Metrics for program health
  8. Benchmarking against peers
  9. Continuous improvement cycle
  10. Leadership communication
  11. Budget justification
  12. Future-proofing strategies

How this maps to your situation

  • When starting an ISO 42001 implementation
  • During cross-functional governance discussions
  • Preparing for internal or external audits
  • Evaluating AI vendors or third-party tools

Before vs. after

Before
Attending governance meetings as a contributor without ownership of outcomes
After
Leading the design and adoption of AI governance frameworks with recognized authority

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 to fit around full-time engineering responsibilities.

If nothing changes
Without structured command of ISO 42001, DevOps engineers risk being excluded from critical AI governance decisions, leading to misaligned systems, rework, and diminished influence on vendor selection and technical direction.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses specifically on DevOps-led implementation of ISO 42001, with templates and workflows tailored to real engineering environments, not abstract theory.

Frequently asked

Who is this course for?
Senior DevOps Engineers involved in AI system governance, compliance, or cross-functional framework implementation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if my organization isn't certified yet?
Yes. The course prepares you to lead certification efforts and influence governance before formal audits begin.
$199 one-time. Approximately 3 hours per module, designed to fit around full-time engineering responsibilities..

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