A tailored course, built for your situation
Mastering GDPR for Full Stack Engineers Delivering Compliant Systems
Build defensible, regulation-aligned architectures with confidence and precision
$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.
Engineers are expected to implement GDPR requirements but rarely given the legal-technical bridge to explain their choices
The situation this course is for
Development teams stall when asked to justify data handling logic to compliance reviewers or privacy officers. Without clear sourcing, even sound implementations get reworked or questioned, creating friction between engineering and governance teams.
Who this is for
Senior full stack engineers in regulated environments who ship production systems involving personal data and need to align technical design with GDPR requirements
Who this is not for
Privacy officers without technical backgrounds, product managers seeking policy overviews, or junior developers looking for introductory GDPR summaries
What you walk away with
- Map GDPR articles directly to system components and data flows
- Document decision trails that withstand internal audits and peer review
- Automate data subject rights workflows in TypeScript with compliance-by-design patterns
- Implement cross-border data transfer safeguards using Rust-based cryptography modules
- Reference specific legal text and technical precedents when challenged on design choices
The 12 modules (with all 144 chapters)
Module 1. GDPR Foundations for Engineers
Translate legal text into technical requirements, focus on Article 5 principles and data minimisation in system design.
12 chapters in this module
- What lawful basis means in API contracts
- Data subject rights as user-facing features
- Lawful purpose alignment in event logging
- Storage limitation in database retention policies
- Accuracy requirements in identity resolution
- Transparency obligations in UI copy
- Accountability as code review practice
- Processing records as system metadata
- Data protection by design in sprint planning
- Default settings compliant with GDPR
- Role-based access to personal data
- Engineering team responsibilities under Article 30
Module 2. Data Mapping in Full Stack Systems
Build accurate, updatable data flow diagrams tied to actual services, endpoints, and storage layers.
12 chapters in this module
- Tracing personal data in REST payloads
- Identifying PII in GraphQL responses
- Database schema annotation for data type
- Session data handling in middleware
- Third-party SDK data collection
- Logging personal data in structured formats
- Cache policies for sensitive identifiers
- Audit trail requirements per Article 30
- Data flow documentation automation
- Mapping data transfers across regions
- Service-to-service personal data flow
- Updating maps post-deployment
Module 3. Lawful Basis Implementation
Code consent, contract, and legitimate interest patterns with clear user experience and backend enforcement.
12 chapters in this module
- Consent as opt-in default
- Withdrawal mechanism design
- Granular consent state management
- Contract necessity in onboarding
- Legitimate interest assessment logging
- Balancing test as code comment
- Purpose limitation in feature flags
- Consent tracking in analytics
- Cookie banner integration patterns
- Preference center backend logic
- Explicit consent for special categories
- Audit endpoint for consent history
Module 4. Data Subject Rights Automation
Implement DSAR workflows with automated access, rectification, and erasure in TypeScript services.
12 chapters in this module
- Access request parsing pipeline
- Identity verification workflow
- Data access response formatting
- Redaction rules in query layers
- Rectification via user dashboard
- Approval workflow for updates
- Erase-by-key cascade logic
- Pseudonymisation instead of deletion
- Third-party notification automation
- Response timing compliance
- DSAR case tracking database
- Legal override flag handling
Module 5. Cross-Border Transfer Compliance
Enforce transfer rules between jurisdictions using technical safeguards and documentation.
12 chapters in this module
- EU to US transfer detection
- Standard Contractual Clauses in code
- Data localization toggle
- IP geolocation in edge functions
- TLS-inspected traffic handling
- Sub-processor access logging
- SCC module in deployment config
- Appliance-based encryption gateways
- Data residency policy engine
- Fallback routing for non-EU regions
- Transfer impact assessment automation
- Processor agreement version tracking
Module 6. DPO and Engineering Alignment
Bridge terminology gaps and build shared artefacts between technical and compliance teams.
12 chapters in this module
- Translating DPIA findings into tickets
- Joint review of data model changes
- Compliance checklist in PR templates
- Shared documentation platform
- Incident response playbooks
- Legal request intake form
- Engineering input on retention policy
- Change advisory board inclusion
- Privacy feature prioritization
- Bug classification for GDPR breaches
- Escalation path for legal concerns
- Monthly alignment meeting agenda
Module 7. Encryption and Pseudonymisation
Apply technical measures that reduce regulatory scope and protect personal data in transit and at rest.
12 chapters in this module
- Field-level encryption in Rust
- Key management with KMS
- Deterministic encryption for search
- Tokenisation of identifiers
- Pseudonymisation in audit logs
- Re-identification risk assessment
- Hardware security module use
- Zero-knowledge proof concepts
- Client-side encryption design
- Data minimisation in analytics
- Hashing for uniqueness checks
- Salting in identifier generation
Module 8. Breach Detection and Response
Integrate monitoring, logging, and alerting to meet 72-hour reporting requirements.
12 chapters in this module
- PII access anomaly detection
- Unauthorised export monitoring
- Log aggregation for forensic review
- Automated breach classification
- Internal notification workflow
- Legal team escalation trigger
- 72-hour countdown automation
- Data loss prevention rules
- Endpoint detection for exfiltration
- Email leak detection
- Incident timeline reconstruction
- Public statement template library
Module 9. Vendor Risk and Third Parties
Evaluate and govern third-party services handling personal data with technical due diligence.
12 chapters in this module
- Sub-processor list tracking
- Third-party data flow mapping
- Contractual clause verification
- Audit log access requirements
- Right to audit provision
- Certification review process
- Data processing agreement templates
- Security questionnaire automation
- Penetration test validation
- Incident response coordination
- Onboarding checklist for vendors
- Offboarding data return process
Module 10. Privacy by Design in CI/CD
Embed compliance checks into build pipelines and deployment gates.
12 chapters in this module
- Static analysis for PII
- Linting rules for data handling
- Pre-commit hooks for logging
- Automated DSAR coverage tests
- Pipeline approval for high-risk services
- Data classification in pull requests
- Secrets detection in code
- Compliance checklist automation
- Architecture review gate
- Feature flagging for privacy work
- Automated documentation updates
- Compliance score dashboard
Module 11. Audit Readiness and Evidence
Generate defensible, up-to-date records that satisfy supervisory authorities.
12 chapters in this module
- Automated Article 30 reporting
- Processing activity inventory
- Data protection training logs
- Policy version history
- Compliance evidence repository
- Audit trail for access changes
- Change approval documentation
- Log retention compliance
- Consent audit logs
- Data flow diagram exports
- Encryption key rotation records
- Third-party compliance attestations
Module 12. Defensible System Narratives
Walk through design choices with clarity, sources, and engineering rationale.
12 chapters in this module
- Framing decisions with GDPR articles
- Citing legal text in design docs
- Explaining choices to non-engineers
- Preparing for regulator Q&A
- Building consensus under pressure
- Balancing performance and privacy
- Prioritising compliance debt
- Documenting trade-off analysis
- Versioning design rationale
- Linking code to compliance requirements
- Presenting architecture to legal teams
- Maintaining narrative over time
How this maps to your situation
- Designing systems with embedded GDPR compliance
- Responding to internal compliance reviews
- Implementing DSAR automation in user-facing products
- Defending architecture choices to privacy officers
Before vs. after
Before
Design decisions questioned due to lack of traceable compliance logic
After
Every architectural choice backed by GDPR articles and implementation evidence
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 3-4 hours per module, designed to fit around engineering workloads.
If nothing changes
Systems may pass functional testing but fail compliance reviews, leading to rework, delayed launches, or regulatory exposure when teams can’t demonstrate defensible design.
How this compares to the alternatives
Unlike generic GDPR courses focused on legal theory, this course delivers actionable, code-level patterns for engineers building production systems. No other course maps Article-by-Article requirements directly to TypeScript and Rust implementations.
Frequently asked
Is this course suitable for engineers without a legal background?
Yes. It translates GDPR into technical decisions using concrete code examples and system design patterns.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Are the examples specific to certain tech stacks?
Examples are designed in Rust and TypeScript, with patterns applicable across full stack environments.
$199 one-time. Approximately 3-4 hours per module, designed to fit around engineering workloads..
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