A tailored course, built for your situation
Mastering ISO 27701; A Step-by-Step Guide to Privacy Implementation
Build compliant, customer-trusted systems with confidence and clarity
$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.
Shipping features only to have privacy teams flag them for rework
The situation this course is for
Engineers waste weeks retrofitting consent flows and data inventories after launch because privacy requirements weren’t baked into initial designs. This delay kills velocity and erodes trust across functions.
Who this is for
Senior software engineer or platform specialist integrating third-party data systems and custom workflows, expected to self-govern privacy compliance without dedicated legal support
Who this is not for
Compliance officers, legal advisors, or product managers without direct coding or system architecture responsibilities
What you walk away with
- Decide definitively on data collection boundaries without waiting for privacy team approval
- Document system-level privacy controls that satisfy external auditors on first pass
- Integrate ISO 27701 requirements directly into development sprints
- Lead design reviews with confidence when user data flows are challenged
- Produce implementation records that survive personnel and leadership changes
The 12 modules (with all 144 chapters)
Module 1. Mapping Data Flows in Custom Web Platforms
Identify every entry and exit point for personal data in WordPress and custom integrations, focusing on where consent must be captured and documented.
12 chapters in this module
- Tracing user data from Shopify storefront to backend services
- Logging third-party data handoffs in payment and analytics flows
- Classifying data by sensitivity level and retention requirement
- Documenting consent mechanisms at each interaction point
- Mapping data processors embedded in page scripts
- Identifying shadow IT tools introducing unapproved data exports
- Validating data flow documentation against ISO 27701 clause 4.3
- Automating flow detection in CI/CD pipelines
- Creating visual data flow diagrams for audit readiness
- Integrating flow updates into sprint planning cycles
- Versioning data maps across deployment environments
- Aligning flow documentation with developer onboarding
Module 2. Defining Scope for Privacy by Design
Determine what systems fall under privacy compliance requirements and which decisions you can make independently.
12 chapters in this module
- Assessing when a feature triggers GDPR or CCPA obligations
- Setting boundaries for internal tools with indirect user impact
- Evaluating vendor-built widgets for data processing scope
- Deciding whether A/B testing scripts require formal review
- Handling employee data in internal admin panels
- Determining retention periods for support chat logs
- Classifying backend debugging tools that capture PII
- Applying risk thresholds to decide review necessity
- Using ISO 27701 Annex A to guide scope decisions
- Documenting rationale for out-of-scope determinations
- Updating scope after system integrations change
- Communicating scope boundaries to product stakeholders
Module 3. Consent Architecture for Dynamic Interfaces
Design consent mechanisms that work across responsive themes, headless setups, and embedded widgets.
12 chapters in this module
- Implementing granular opt-in for analytics and tracking
- Handling consent for dynamically loaded third-party scripts
- Storing consent preferences in cookie-free environments
- Syncing consent states across mobile and desktop views
- Managing consent inheritance in template-based pages
- Designing fallbacks for users who reject all tracking
- Validating consent capture across browser privacy modes
- Auditing consent logging for completeness and accuracy
- Integrating consent signals into server-side personalization
- Testing edge cases in cross-domain iframe embeds
- Documenting consent design for external assurance
- Updating consent flows without breaking legacy integrations
Module 4. Vendor Data Processing Agreements
Evaluate third-party tools for compliance readiness and determine when legal review is required.
12 chapters in this module
- Assessing whether a new email tool requires DPA review
- Classifying vendors as processors vs. controllers
- Reviewing standard contractual clauses for adequacy
- Determining if open source libraries trigger DPA obligations
- Handling vendor updates that introduce new sub-processors
- Auditing tool permissions for excessive data access
- Setting thresholds for self-approved vendor integrations
- Documenting due diligence for external review
- Creating a vendor risk tiering system
- Flagging vendors requiring escalation to legal
- Managing renewal cycles for existing DPAs
- Automating alerts for vendor compliance changes
Module 5. Data Subject Rights Fulfillment Pathways
Build internal workflows to respond to access, deletion, and correction requests within required timelines.
12 chapters in this module
- Mapping data locations for individual user lookups
- Establishing secure identity verification steps
- Creating standardized response templates for common requests
- Automating export formatting to match regulatory expectations
- Handling partial deletion requests across systems
- Logging fulfillment actions for audit defense
- Coordinating responses when data spans multiple teams
- Setting SLAs for internal escalation paths
- Validating redaction rules in exported data sets
- Testing response workflows under peak demand
- Documenting exceptions to full deletion
- Integrating with customer support ticketing systems
Module 6. Privacy Impact Assessments for New Features
Conduct targeted assessments that inform design choices before development begins.
12 chapters in this module
- Determining when a PIA is required for new functionality
- Completing PIA templates with engineering-specific input
- Assessing risks of inferred data from behavioral tracking
- Evaluating AI-driven personalization for bias and transparency
- Documenting mitigation strategies for high-risk features
- Integrating PIA outcomes into acceptance criteria
- Creating lightweight PIAs for minor updates
- Using precedent from past assessments to speed review
- Aligning PIA scope with ISO 27701 control 6.3
- Involving UX researchers in early-stage privacy testing
- Versioning PIAs alongside product requirements
- Archiving completed assessments for external access
Module 7. Incident Detection and Response Protocols
Detect, assess, and document privacy incidents without over-escalating false positives.
12 chapters in this module
- Setting thresholds for anomalous data access patterns
- Classifying incident severity based on exposure level
- Documenting incident timelines with technical precision
- Determining reportability under GDPR and CCPA rules
- Coordinating legally required notifications
- Preserving logs for forensic analysis
- Integrating with existing security incident workflows
- Testing incident playbooks with cross-functional teams
- Avoiding over-notification when risk is low
- Using ISO 27701 controls to justify containment steps
- Reviewing post-incident changes to data handling
- Updating training based on root cause findings
Module 8. Retention and Deletion Frameworks
Define and enforce data lifecycle rules across distributed systems.
12 chapters in this module
- Setting retention schedules by data category
- Automating deletion workflows in cloud databases
- Validating deletion across backups and archives
- Handling legal hold exceptions
- Documenting destruction methods for audit proof
- Managing retention in third-party analytics platforms
- Balancing A/B testing needs with deletion requirements
- Auditing logs for unauthorized data access after deletion
- Designing schema evolution to support lifecycle changes
- Testing edge cases in user data deletion workflows
- Communicating retention policies to business units
- Updating retention rules after regulatory changes
Module 9. Cross-Border Data Transfer Mechanisms
Evaluate when international data flows require additional safeguards.
12 chapters in this module
- Identifying data transfers to cloud regions outside origin country
- Assessing adequacy decisions for destination jurisdictions
- Implementing Standard Contractual Clauses for vendors
- Documenting reliance on derogations for urgent transfers
- Handling customer data in globally distributed CDNs
- Evaluating IP geolocation data as personal information
- Validating subprocessor compliance in global stacks
- Using ISO 27701 controls to support transfer decisions
- Creating transfer impact assessment templates
- Managing changes in transfer regulations across regions
- Integrating transfer checks into deployment approval
- Archiving transfer documentation for external review
Module 10. Internal Audit and Assurance Processes
Prepare for external reviews by conducting rigorous self-assessments.
12 chapters in this module
- Scheduling regular audits aligned with release cycles
- Sampling data handling practices for compliance
- Verifying consent implementation across device types
- Testing access request fulfillment accuracy
- Reviewing vendor DPAs for currency and completeness
- Auditing logging and monitoring configurations
- Assessing incident response readiness
- Producing evidence packs for external reviewers
- Using ISO 27701 Annex A as audit benchmark
- Prioritizing findings by risk and remediation cost
- Tracking closure of identified gaps
- Improving audit efficiency over time
Module 11. Privacy Training for Engineering Teams
Equip developers with practical knowledge to reduce rework and improve compliance outcomes.
12 chapters in this module
- Identifying high-risk coding patterns for data exposure
- Teaching privacy considerations in sprint planning
- Onboarding new engineers with scenario-based learning
- Sharing anonymized incident learnings across teams
- Creating coding standards for personal data handling
- Using pre-commit hooks to catch privacy violations
- Integrating privacy checks into pull request templates
- Conducting quarterly refresh sessions
- Measuring training effectiveness through audit outcomes
- Linking training content to real code examples
- Adapting materials for frontend and backend roles
- Documenting training completion for compliance
Module 12. Continuous Improvement and Framework Evolution
Keep privacy practices aligned with changing regulations, technologies, and business needs.
12 chapters in this module
- Monitoring regulatory changes in key markets
- Updating controls based on audit and incident findings
- Incorporating new privacy features into roadmaps
- Evaluating emerging standards like ISO 42001
- Scaling practices across new product lines
- Integrating lessons from competitor enforcement actions
- Aligning privacy improvements with customer feedback
- Optimizing documentation for maintainability
- Using metrics to demonstrate program maturity
- Sharing best practices with peer organizations
- Expanding control scope to new data domains
- Sustaining momentum after initial compliance goals
How this maps to your situation
- Data flow mapping in e-commerce platforms
- Privacy controls in headless and hybrid storefronts
- Vendor management in distributed plugin ecosystems
- Audit defense in fast-moving product environments
Before vs. after
Before
Waiting for legal or compliance teams to approve design choices involving user data, leading to delays and rework
After
Making confident, documented decisions on privacy controls within development cycles, reducing friction and audit risk
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: 90 minutes per week over six weeks, or one intensive weekend
If nothing changes
Continuing to rely on ad hoc approvals increases rework, slows delivery, and creates compliance exposure when audits find undocumented design choices
How this compares to the alternatives
Unlike generic compliance courses, this program focuses on engineering-specific decisions in custom and hybrid platforms, providing actionable logic rather than abstract concepts
Frequently asked
Is this course relevant if I don’t use Shopify as a customer?
Yes. The principles apply to any custom or hybrid web platform integrating third-party data systems, regardless of storefront provider.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an external audit?
Yes. The course teaches how to build systems that generate documented, defensible evidence for external reviewers.
$199 one-time. 90 minutes per week over six weeks, or one intensive weekend.
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