A tailored course, built for your situation
Becoming the Go To Practitioner for ISO 27018 in Azure Environments
Build recognized expertise in cloud privacy compliance with structured mastery of ISO 27018
The situation this course is for
Strong engineers with cloud and data expertise often don’t get tapped for privacy or compliance initiatives because their knowledge isn’t formally mapped to recognized standards. This creates missed opportunities to influence high-visibility projects and leadership conversations.
Who this is for
Data Engineer at a cloud-first tech company working across Azure and data platforms, involved in data governance or compliance adjacent work but not formally recognized as a privacy or compliance specialist
Who this is not for
Engineers who only work on batch ETL pipelines with no interaction with compliance teams, or those focused exclusively on non-cloud data systems
What you walk away with
- First internal reviewer for ISO 27018 alignment in Azure deployments
- Specific examples and implementation templates for each control
- Clear documentation trail that supports audit readiness
- Recognition as the go to person for cloud data privacy questions
- Ability to lead ISO 27018 scoping without external consultants
The 12 modules (with all 144 chapters)
- What ISO 27018 covers and what it doesn’t
- Why cloud data engineers are central to compliance
- Differences from ISO 27001 and ISO 27017
- Privacy by design in data pipeline architecture
- Mapping Azure services to data protection roles
- Common misconceptions about cloud provider responsibilities
- How customers expect ISO 27018 evidence
- The role of data classification in compliance
- Linking data flows to privacy controls
- Early scoping signals in project briefs
- Engineering inputs to vendor review questionnaires
- Preempting audit findings with proactive documentation
- Accountability in data system ownership
- Purpose limitation in pipeline metadata
- Data minimization techniques in ETL
- Storage limitation with automated retention
- Accuracy enforcement in transformation logic
- Transparency requirements for data lineage
- Individual rights fulfillment design
- Accountability for third party data access
- Mapping rights to Snowflake time travel
- Handling data subject requests in staging layers
- Consent handling in ingestion layers
- Documentation needed for data subject access logs
- Blob Storage encryption and access logging
- Data classification tagging in Azure Purview
- Role based access in Azure AD integrations
- Key management with Azure Key Vault
- Network segmentation using NSGs
- Private endpoints for data services
- Audit logging with Azure Monitor
- Control mapping for event hubs
- Data export monitoring in pipelines
- Service encryption status documentation
- Evidence collection for control 6 1
- Linking Azure Policy to privacy enforcement
- Locating personal data across layers
- Automated data discovery tagging
- Right to access response formatting
- Correction workflows in dimensional models
- Deletion impact analysis in marts
- Soft delete patterns in fact tables
- Time travel retention for auditability
- Anonymization versus deletion
- Documentation of request fulfillment
- SLA tracking for subject requests
- Testing deletion propagation
- Audit trail for rights fulfillment
- Data flow diagrams for public reports
- Mapping pipelines to notice categories
- Retention periods in public disclosures
- Third party sharing disclosures
- Automated lineage for notice updates
- Updating notices after schema changes
- Internal documentation trail
- Version control for privacy notices
- Linking notices to data catalog entries
- Reporting on data sharing endpoints
- User facing data practice summaries
- Engineering inputs to marketing claims
- Reviewing vendor ISO 27018 certifications
- Data processing agreement requirements
- Audit rights in vendor contracts
- Subprocessor transparency checks
- Data transfer mechanisms in APIs
- Logging third party access
- Segregation of duties in shared pipelines
- Incident response coordination
- Right to audit documentation
- Evidence of vendor compliance
- Reviewing external ETL tooling
- Assessing SaaS platforms for alignment
- Encryption at rest and in transit
- Access logging for sensitive tables
- Multi factor authentication enforcement
- Session timeout policies
- Data masking in non prod environments
- Tokenization for reporting layers
- Anonymization thresholds
- PII detection in unstructured data
- Alerting on anomalous access
- Data leakage prevention rules
- Secure API authentication
- Regular access reviews
- Breach definition under the standard
- Detection signals in logs
- Automated alerting on PII exposure
- Containment steps in pipelines
- Notification timelines
- Internal escalation paths
- Evidence preservation
- Coordination with legal teams
- Post incident review documentation
- Testing breach response workflows
- Logging access during incidents
- Reviewing root cause in data layers
- Control implementation records
- Evidence templates for each clause
- Automated evidence generation
- Screenshot documentation standards
- Version control for artefacts
- Audit trail completeness
- Linking controls to Azure resources
- Evidence retention periods
- Preparing for external review
- Responding to auditor inquiries
- Internal pre audit checklists
- Updating artefacts after changes
- Initial compliance scoping
- Stakeholder identification
- Data inventory process
- Classification framework setup
- Access control review
- Encryption configuration
- Logging and monitoring setup
- Incident response planning
- Documentation template setup
- Third party review process
- Internal audit schedule
- Continuous improvement cycle
- Tracking data across platforms
- Consistent classification tagging
- Access harmonization
- Unified logging strategy
- Data retention coordination
- Subject request routing
- Encryption handoffs
- Vendor responsibility boundaries
- Pipeline ownership clarity
- Audit scope definition
- Change coordination process
- Compliance gap analysis
- Change impact assessment
- Automated compliance checks
- Regular control reviews
- Versioned documentation
- Training for new team members
- Onboarding for new data sources
- Offboarding data processors
- Audit trail retention
- Updating privacy notices
- Monitoring regulatory changes
- Feedback loop from audits
- Annual compliance review
How this maps to your situation
- When onboarding a new customer requiring ISO 27018 evidence
- Before a third party vendor audit
- During internal compliance review
- When designing a new data pipeline handling personal data
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 3 hours per module, designed to be completed in parallel with active projects.
How this compares to the alternatives
Generic compliance courses teach theory without technical mapping. This course provides field tested implementation patterns for Azure engineers, with templates used in actual audits.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.