A tailored course, built for your situation
Mastering ISO 27001 for Senior Data Science and AI Leaders
Turn data governance rigor into strategic influence across technical decisions and cross-functional initiatives.
$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 technically right isn’t enough, you need to be heard when AI governance decisions are shaped.
The situation this course is for
Even with deep expertise, data science leaders often find their insights deferred in cross-functional governance discussions, especially when compliance and security teams set the framework. Without shared language and documented alignment points, technical contributions risk being sidelined in decisions about AI risk, data handling, and vendor oversight, even when those decisions directly impact model performance and scalability.
Who this is for
Senior technical leader in data science or machine learning, operating at the intersection of analytics, AI systems, and enterprise compliance requirements, especially within advertising, e-commerce, or large-scale data platforms.
Who this is not for
Entry-level analysts, individual contributors not involved in governance discussions, or practitioners focused solely on model development without cross-functional influence goals.
What you walk away with
- Map ISO 27001 controls directly to data science workflows and AI model pipelines
- Documented rationale for data handling practices that aligns with security audit expectations
- Reusable governance playbooks to assert influence in vendor selection and platform design meetings
- Clear articulation of model risk boundaries that satisfy compliance requirements without sacrificing innovation
- Strategic positioning as the go-to expert for AI governance alignment across data, security, and legal teams
The 12 modules (with all 144 chapters)
Module 1. AI Governance Landscape right now
Overview of current trends aligning AI systems with enterprise security and compliance expectations.
12 chapters in this module
- Rise of AI governance frameworks
- Intersection of ML and ISO 27001
- Key stakeholders in AI compliance
- Data lifecycle control expectations
- Regulatory pressure points
- Security team priorities
- Legal and risk alignment
- Vendor oversight expectations
- Internal audit focus areas
- Executive reporting norms
- Global data handling norms
- Governance maturity benchmarks
Module 2. ISO 27001 Fundamentals for Technical Leaders
Core principles of ISO 27001 tailored to data science and AI system design.
12 chapters in this module
- Scope of ISO 27001
- Annex A controls overview
- Risk assessment process
- Information security policy
- Asset management basics
- Access control principles
- Cryptography in data systems
- Physical security links
- Operations security norms
- Compliance obligations
- Audit readiness markers
- Continuous improvement cycle
Module 3. Mapping AI Systems to ISO Controls
Direct alignment of machine learning pipelines and data workflows to ISO 27001 control requirements.
12 chapters in this module
- Model development environment
- Data labeling security
- Training data provenance
- Model versioning controls
- Inference pipeline access
- Bias monitoring systems
- Explainability documentation
- Third-party model inputs
- API security boundaries
- Model drift detection
- Audit logging standards
- Incident response alignment
Module 4. Data Lifecycle Governance
Applying ISO 27001 to each stage of data handling in AI and analytics systems.
12 chapters in this module
- Data acquisition controls
- Storage classification rules
- Anonymization requirements
- Data sharing agreements
- Vendor data handling
- Retention policies
- Deletion verification
- Cross-border data flow
- Encryption in transit
- Access logging norms
- Breach detection linkage
- Data stewardship roles
Module 5. Vendor and Platform Selection
Influencing procurement and architecture decisions through documented compliance alignment.
12 chapters in this module
- RFP compliance criteria
- Security questionnaire responses
- Due diligence process
- Third-party audit reviews
- Contractual control expectations
- SLA security clauses
- Penetration testing access
- Incident reporting terms
- Data ownership terms
- Right-to-audit clauses
- Subprocessor transparency
- Exit strategy requirements
Module 6. Cross-Functional Influence Tactics
Building credibility and authority in governance discussions across security, legal, and risk teams.
12 chapters in this module
- Speaking the compliance language
- Documenting control alignment
- Anticipating auditor questions
- Building coalition support
- Escalation path design
- Meeting prep templates
- Stakeholder mapping
- Feedback integration
- Version control practices
- Change management process
- Risk register updates
- Decision traceability
Module 7. Security Event Response for AI Teams
Preparing AI and data science groups for security incidents and audit follow-ups.
12 chapters in this module
- Incident classification
- Notification protocols
- Forensic data access
- Model rollback plans
- Data breach linkage
- Legal hold procedures
- Public statement alignment
- Internal comms planning
- Lessons learned process
- Control gap analysis
- Remediation tracking
- Management reporting
Module 8. Internal Audit Preparation
Creating evidence packages and narratives that satisfy ISO 27001 auditors without blocking progress.
12 chapters in this module
- Audit scope definition
- Evidence collection rhythm
- Control testing methods
- Gap remediation process
- Management sign-off
- Exception documentation
- Risk acceptance process
- Non-conformance tracking
- Corrective action plans
- Follow-up audit prep
- Audit report response
- Continuous monitoring
Module 9. Policy Development and Maintenance
Writing and maintaining data governance policies that reflect real-world AI system operation.
12 chapters in this module
- Policy drafting structure
- Version control system
- Approval workflows
- Change impact analysis
- Distribution methods
- Acknowledgment tracking
- Training alignment
- Review cycle cadence
- Stakeholder feedback
- Legal alignment
- Global applicability
- Enforcement mechanisms
Module 10. Compliance Automation Tools
Integrating automated checks and continuous monitoring into data science workflows.
12 chapters in this module
- Policy-as-code concepts
- Automated control checks
- CI/CD pipeline integration
- Drift detection alerts
- Access review automation
- Audit trail generation
- Logging standardization
- Compliance dashboard design
- Remediation workflows
- Toolchain compatibility
- Vendor tool evaluation
- Change validation process
Module 11. Executive Communication Strategy
Translating technical compliance work into leadership-level narratives.
12 chapters in this module
- Risk reporting structure
- Key metric selection
- Board-level summary design
- Incident communication
- Strategic initiative alignment
- Budget justification
- Cross-team initiative linkage
- Progress tracking
- Benchmarking performance
- External recognition
- Thought leadership
- Industry contribution
Module 12. Sustaining Governance Influence
Building lasting credibility and recurring influence in evolving compliance landscapes.
12 chapters in this module
- Knowledge transfer design
- Succession planning
- Mentorship roles
- Internal training design
- Governance committee membership
- Cross-functional rotation
- External certification path
- Conference participation
- Publication strategy
- Standards body engagement
- Industry working groups
- Long-term roadmap alignment
How this maps to your situation
- When preparing for ISO 27001 audit
- During vendor selection for AI platforms
- When aligning model governance with security
- Ahead of cross-functional risk review
Before vs. after
Before
Technically sound but underrepresented in cross-functional governance decisions.
After
Recognized as the go-to reference on AI governance alignment, shaping vendor choices and risk direction.
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 integration with active projects.
If nothing changes
Without documented alignment to ISO 27001, even strong technical positions risk being overridden by compliance or security teams using standardized frameworks.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to data science leaders, with concrete mappings between ISO 27001 controls and AI/data workflows, so you gain influence without relearning foundational security concepts.
Frequently asked
Is this course relevant for non-security roles?
Yes, it’s designed specifically for data science and AI leaders who need to influence security and compliance decisions without being security specialists.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help in vendor selection discussions?
Yes, each module includes templates and rationale to strengthen your position in procurement and platform decisions.
$199 one-time. Approximately 3 hours per module, designed for integration with 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