A tailored course, built for your situation
Mastering ISO 27701 for Full-Stack AI and PERN Stack Engineering Leaders
Deep expertise in privacy extension frameworks for engineers leading AI-integrated production systems
Who this is for
Senior full-stack engineers and technical leads overseeing AI-integrated applications who need to implement and govern privacy controls in alignment with international standards
Who this is not for
Entry-level developers, non-technical compliance staff, or practitioners not involved in system architecture or data governance design
What you walk away with
- Map ISO 27701 privacy controls directly to PERN stack data flows
- Build compliant privacy extensions that integrate seamlessly with existing ISO 27001 frameworks
- Lead internal audits with confidence using standardized, reusable documentation templates
- Anticipate and respond to regulator questions with pre-validated implementation patterns
- Position yourself as the internal reference on privacy-by-design in AI-orchestrated systems
The 12 modules (with all 144 chapters)
- What ISO 27701 extends
- Core definitions: PII, PIIS, controllers
- Relationship to GDPR and CCPA
- Privacy by design principles
- Scope definition for PERN systems
- Linking data processing to control ownership
- Boundary setting for privacy audits
- Role of the DPO in engineering teams
- Mapping data flows to processing records
- Documenting lawful bases
- Handling data subject rights
- Privacy control hierarchy
- Assessing current ISMS maturity
- Gap analysis methodology
- Control overlap identification
- Merging SOC 2 and ISO 27701
- Single source of truth for policies
- Unifying control ownership
- Policy versioning strategy
- Automated control tracking
- Cross-framework audit trails
- Change management alignment
- Review cycle synchronization
- Integration playbook customization
- Identifying PII in API payloads
- Session data handling in React
- Authentication logging in Node.js
- Database encryption at rest
- Access control enforcement
- Audit logging completeness
- Data retention configuration
- Encryption key management
- Secure API gateway design
- Frontend data masking patterns
- DevOps pipeline privacy gates
- CI/CD compliance checks
- Defining processing purposes
- Capturing data categories
- Mapping to GDPR Article 30
- Automated discovery tools
- Data flow diagramming
- Third-party processor tracking
- Subprocessor transparency
- Retention period validation
- Lawful basis documentation
- Cross-border transfer recording
- Storage location logging
- Update frequency protocols
- AI system boundary definition
- Inference data classification
- Model training data provenance
- Bias mitigation documentation
- Explainability requirements
- Personal data in embeddings
- Data anonymization thresholds
- Synthetic data governance
- Prompt logging policies
- Output filtering mechanisms
- Model version tracking
- Audit trail integration
- Vendor risk categorization
- Pre-screening checklists
- Third-party assessment templates
- Cloud provider compliance
- Data Processing Agreement terms
- Right to audit clauses
- Subprocessor approval process
- Security control attestation
- Breach notification SLAs
- Compliance reporting expectations
- Penalty clause alignment
- Exit strategy requirements
- Audit scope definition
- Evidence collection plan
- Control testing procedures
- Interview protocols for devs
- Sampling methodology
- Non-conformance classification
- Corrective action tracking
- Management review inputs
- Audit report drafting
- Follow-up validation
- Automated audit tools
- Continuous monitoring setup
- Single source of truth setup
- Version-controlled policies
- Markdown for compliance docs
- Automated changelogs
- Role-based access control
- Document ownership model
- Approval workflow automation
- Retention schedule integration
- Searchable archives
- Audit-ready PDF generation
- Live dashboard integration
- Feedback loop mechanisms
- GDPR vs CCPA scope comparison
- NIS2 implications for operators
- Data localization requirements
- International data transfer mechanisms
- SCCs and DPF alignment
- Country-specific retention rules
- Enforcement trend tracking
- Regulator engagement strategy
- Breach reporting timelines
- Representative appointment
- Language localization of notices
- Regional policy variants
- Sprint planning with privacy
- Backlog prioritization framework
- Privacy user story templates
- Definition of done enhancements
- QA test case integration
- Compliance debt tracking
- Automated policy checks
- Pre-deployment gates
- Post-deployment verification
- Incident response alignment
- Stakeholder notification flow
- Retrospective improvement
- Incident classification levels
- Detection mechanisms
- Internal escalation paths
- Legal counsel engagement
- 72-hour reporting countdown
- Data subject notification
- Regulator communication
- Root cause analysis
- Remediation tracking
- Public statement prep
- Post-mortem documentation
- Preventive control updates
- Knowledge transfer planning
- Succession readiness check
- Documented decision rationale
- Onboarding accelerators
- Mentorship frameworks
- Cross-team awareness
- External reference alignment
- Benchmarking against peers
- Continuous education plan
- Certification maintenance
- Stakeholder reporting cadence
- Annual review automation
How this maps to your situation
- When extending an existing ISMS to cover privacy
- Before initiating a new AI-orchestrated product
- During vendor selection for data-handling systems
- After a regulatory inquiry or audit finding
Before vs. after
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 2 hours per module, designed for engineers to complete at their own pace over 4-6 weeks
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to full-stack engineers working with AI and PERN stack systems, offering concrete implementation patterns rather than theoretical overviews
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.