A tailored course, built for your situation
Mastering ISO 27701; A Step-by-Step Guide to Privacy Implementation
Build a repeatable privacy foundation that compounds across integrations and audits
$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.
Integration packages requiring last-minute privacy fixes
The situation this course is for
Product teams face recurring delays when privacy compliance is retrofitted late into development cycles. This creates bottlenecks during audit readiness windows and undermines trust in engineering velocity.
Who this is for
Senior individual contributor in engineering or full-stack development at a mid-to-large tech company, working across Flutter, React, and Shopify stack, with ownership of integration packages or delivery pipelines.
Who this is not for
Entry-level developers, non-technical compliance staff, or consultants without hands-on delivery experience.
What you walk away with
- Structure privacy controls that embed directly into development workflows
- Produce integration packages that pass internal review without rework
- Reproduce compliant deliverables across React, Flutter, and web platforms
- Document a playbook that survives team changes and sprint cycles
- Accelerate time-to-compliance for future projects using reusable templates
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 27701 in Developer Workflows
Establish a working knowledge of ISO 27701 requirements and how they map to real-world development decisions across React, Flutter, and backend services. Focus on practical translation over theoretical compliance.
12 chapters in this module
- Understanding the scope of PII in modern front-end applications
- Mapping data flows from user interaction to backend storage
- Identifying joint controller responsibilities in third-party stacks
- How Shopify’s architecture influences data processing boundaries
- Key differences between GDPR and ISO 27701 compliance layers
- When ISO 27701 applies versus ISO 27001 in development sprints
- Integrating privacy considerations at the story definition phase
- Using Java and React patterns to isolate personal data handling
- Documenting data processing activities for auditors
- Versioning privacy controls alongside code deploys
- Avoiding common misinterpretations of consent mechanisms
- Building alignment between developers and DPOs early
Module 2. Privacy-First Integration Design
Design integrations that are compliant by default, using patterns tested in high-velocity environments. Learn how to structure API contracts and dependencies so privacy scales with complexity.
12 chapters in this module
- Structuring microservice boundaries with data minimization in mind
- Defining secure data handoffs between Flutter and backend APIs
- Hardening WordPress integrations against PII leakage
- Using React context responsibly for user-level data
- Architecting cross-domain tracking without violating transparency
- Evaluating third-party SDKs through an ISO 27701 lens
- Setting up encrypted logging for user-identifiable events
- Designing default-off features that require explicit opt-in
- Implementing purpose limitation in feature flags
- Validating data retention policies in CI/CD pipelines
- Auditing third-party cookies injected via frontend libraries
- Creating fallback states when consent is denied
Module 3. Data Mapping for Complex Tech Stacks
Create living data maps that keep pace with rapid iteration, using developer-native tools and lightweight documentation. Turn compliance evidence into a performance asset.
12 chapters in this module
- Automating data flow diagrams from API spec files
- Tagging endpoints that process personal data in OpenAPI
- Using Java annotations to flag sensitive data handlers
- Generating dynamic data maps from React component trees
- Tracking PII movement across Shopify app extensions
- Maintaining accuracy when microservices evolve independently
- Integrating data map updates into pull request checklists
- Validating map completeness before audit submission
- Using version control history to prove map integrity
- Linking data map entries to control implementation
- Reducing reviewer burden with machine-readable metadata
- Embedding data map outputs into developer portals
Module 4. Consent Architecture Patterns
Build flexible, user-facing consent systems that satisfy both UX needs and strict compliance thresholds, using modular components that integrate seamlessly across platforms.
12 chapters in this module
- Designing granular consent options without overwhelming users
- Storing consent records with cryptographic integrity
- Syncing consent states across mobile and web clients
- Handling implied consent in low-friction flows
- Managing consent for analytics versus marketing use cases
- Implementing right-to-withdraw at scale
- Using React hooks to manage localized consent state
- Flutter-based permission layers with biometric fallback
- Auditing consent changes for regulatory reporting
- Integrating with Shopify’s native customer data settings
- Avoiding dark patterns while maximizing opt-in clarity
- Testing consent logic under edge-case network conditions
Module 5. Cross-Platform Data Minimization
Apply data minimization consistently across Flutter, React, and server-side systems. Learn how to reduce PII exposure without sacrificing functionality or performance.
12 chapters in this module
- Stripping unnecessary user identifiers from analytics payloads
- Masking PII in logs using Java filters
- Using pseudonymization in React state management
- Reducing data collection scope in checkout extensions
- Designing anonymous session identifiers
- Avoiding localStorage misuse in mobile web views
- Tuning data retention by user role and geography
- Minimizing exposure in error reporting pipelines
- Validating data minimization in integration testing
- Balancing observability with privacy in debugging
- Automating cleanup of temporary personal data
- Enforcing data minimization in code review standards
Module 6. Automated Privacy Testing
Integrate privacy checks into CI/CD pipelines, enabling continuous compliance validation and reducing manual evidence collection burden during audit cycles.
12 chapters in this module
- Scanning for PII in API responses using schema checks
- Static analysis rules for detecting hardcoded secrets
- Detecting unintended data leaks in React render paths
- Flutter-specific checks for clipboard and screenshot exposure
- Validating encryption-at-rest in database migration scripts
- Automating consent policy enforcement in unit tests
- Integrating DAST scans focused on privacy endpoints
- Setting up regression alerts for data handling changes
- Using Java bytecode analysis to trace PII propagation
- Validating cookie banners across device breakpoints
- Testing data deletion workflows end to end
- Embedding compliance gates in Shopify theme deploys
Module 7. Privacy Controls for Third-Party Integrations
Secure vendor relationships by building standardized, auditable controls into integration design, ensuring compliance compounds across partnerships.
12 chapters in this module
- Assessing vendor risk using ISO 27701 criteria
- Requiring documented DPAs as integration prerequisites
- Validating encryption in transit for external APIs
- Auditing data use rights in SaaS contracts
- Designing isolation layers for third-party widgets
- Using React portals to limit vendor DOM access
- Flutter-based sandboxing for embedded content
- Monitoring data exfiltration risks in client-side scripts
- Requiring audit rights in vendor SLAs
- Building standardized questionnaires for integration review
- Integrating CSP headers to prevent script injection
- Creating fallback behaviors when vendor compliance lapses
Module 8. Developer-Focused Documentation
Create living, code-adjacent documentation that keeps pace with development speed and serves as valid audit evidence without slowing innovation.
12 chapters in this module
- Writing inline privacy comments that survive refactors
- Using Javadoc to document PII processing justifications
- Generating living data processing records from code
- Embedding compliance notes in React component props
- Versioning documentation alongside code branches
- Using Shopify CLI to auto-generate privacy metadata
- Linking pull requests to control implementation
- Creating searchable internal wikis with code examples
- Maintaining accuracy in fast-moving monorepos
- Using linters to enforce documentation completeness
- Publishing privacy design decisions as RFCs
- Integrating documentation checks into merge gates
Module 9. Incident Response for Development Teams
Prepare engineering teams to respond quickly and correctly to data incidents, turning potential compliance failures into demonstrations of operational maturity.
12 chapters in this module
- Detecting unauthorized PII access in application logs
- Establishing triage protocols for data leak reports
- Using Java logging frameworks to preserve chain of custody
- Flutter-specific crash reporting with privacy safeguards
- React error boundaries and data exposure risks
- Automating breach notification workflows
- Preserving forensic evidence without violating privacy
- Coordinating with legal and DPO during escalation
- Testing incident playbooks in staging environments
- Documenting root cause analyses without re-identifying users
- Validating fixes in production without re-exposing data
- Learning from incidents to improve future designs
Module 10. Privacy Metrics That Matter
Define and track meaningful privacy KPIs that reflect real engineering progress and strengthen internal credibility beyond checkbox audits.
12 chapters in this module
- Measuring time-to-compliance for new features
- Tracking rework caused by privacy rework
- Calculating coverage of automated privacy tests
- Monitoring consent opt-in/opt-out trends by region
- Assessing team velocity before and after controls
- Auditing frequency of PII handling exceptions
- Evaluating third-party vendor compliance health
- Benchmarking control maturity across product lines
- Using dashboards to surface privacy debt
- Linking privacy improvements to customer trust scores
- Reporting progress to engineering leadership
- Tying privacy outcomes to OKRs and retros
Module 11. Scaling Privacy Across Teams
Enable consistent privacy implementation across multiple teams through reusable tooling, templates, and lightweight governance that supports autonomy.
12 chapters in this module
- Creating shared libraries for consent management
- Building internal CLI tools for privacy checks
- Standardizing data tagging across codebases
- Using React context to propagate privacy policies
- Flutter plugin architecture for cross-app controls
- Integrating privacy linters into team IDEs
- Documenting patterns in internal design systems
- Running lightweight design reviews for high-risk features
- Establishing privacy champions across squads
- Sharing anonymized incident learnings org-wide
- Automating compliance attestations for fast movers
- Balancing governance with team autonomy
Module 12. Continuous Improvement and Audit Readiness
Turn each audit cycle into a force multiplier by institutionalizing lessons learned and building systems that get stronger over time.
12 chapters in this module
- Using audit findings to prioritize roadmap items
- Updating control templates after regulatory changes
- Incorporating assessor feedback into training
- Validating fixes across environments
- Archiving evidence in searchable repositories
- Preparing integration packages for repeatable review
- Building relationships with auditors as partners
- Demonstrating improvement over time
- Automating re-evaluation of legacy systems
- Reducing evidence collection time year over year
- Celebrating maturity gains across engineering
- Making compliance a seamless part of shipping
How this maps to your situation
- New privacy requirements impacting Shopify platform integrations
- Growing complexity in cross-platform data flows
- Increased scrutiny on third-party app compliance
- Need for developer-native privacy tooling
Before vs. after
Before
Privacy compliance is reactive, audit-driven, and creates rework during integration cycles.
After
Privacy is embedded, automated, and compounds across deliveries, each project strengthens the next.
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 90 minutes per week over six weeks, designed to fit around delivery cycles.
If nothing changes
Continuing with ad-hoc privacy implementation means recurring rework, audit delays, and missed opportunities to lead on trust in high-velocity development environments.
How this compares to the alternatives
Unlike generic compliance courses, this program is built specifically for developers using React, Flutter, and Shopify tech stacks, with hands-on implementation guidance rather than theoretical frameworks.
Frequently asked
Is this course specific to Shopify’s platform?
No. While examples are drawn from real-world integrations, the course avoids anchoring on Shopify products and instead focuses on transferable privacy engineering patterns applicable across platforms.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this if I'm not in a privacy role?
Absolutely. This course is designed for developers and ICs who ship code that handles personal data, regardless of formal title.
$199 one-time. Approximately 90 minutes per week over six weeks, designed to fit around delivery cycles..
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