A tailored course, built for your situation
Mastering ISO 27701; A Step-by-Step Guide to Privacy Implementation
A complete implementation playbook for data privacy practitioners leading real-world compliance in high-growth environments.
$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.
Late-cycle privacy rework in data architecture reviews
Who this is for
Data practitioners in high-growth tech environments who influence technical direction but lack formal authority, navigating privacy requirements across data systems and peer teams.
Who this is not for
Entry-level analysts, compliance auditors without technical roles, or executives seeking board-level summaries.
What you walk away with
- Produce ISO 27701-aligned evidence packages that pass peer review on first submission
- Lead privacy integration in data architecture discussions with confidence-backed frameworks
- Reduce rework cycles in cross-functional system design by 70% using structured validation workflows
- Build reusable templates for data flow mapping and consent tracking that align with global privacy expectations
- Gain influence in technical design forums where privacy decisions shape long-term data system scalability
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 27701 in Data-Driven Organizations
Understand how ISO 27701 extends ISO 27001 to privacy-specific controls, and why it matters for data science teams designing customer-facing systems.
12 chapters in this module
- How ISO 27701 complements existing data governance frameworks
- Key differences between privacy controls and general security controls
- The role of data protection officers in technical design forums
- Mapping GDPR and CCPA requirements to ISO 27701 clauses
- Privacy by design principles in agile data product development
- Understanding PII and sensitive data classification standards
- Jurisdictional scope and data residency implications for global platforms
- Integrating privacy impact assessments into sprint planning
- Documenting lawful bases for processing in data workflows
- Tracking consent lifecycle across customer journey stages
- Designing for data subject rights fulfillment at scale
- Common gaps in technical teams adopting ISO 27701
Module 2. Privacy Control Mapping for Data Systems
Translate ISO 27701 requirements into actionable control mappings for data pipelines, warehouses, and analytics layers.
12 chapters in this module
- Identifying data processing activities across distributed systems
- Mapping system boundaries to privacy control domains
- Classifying processing operations by risk tier
- Assigning accountability for control ownership
- Documenting third-party data flows with vendors
- Establishing logging and monitoring for processing transparency
- Designing access controls around PII handling
- Implementing encryption standards for data at rest and in transit
- Validating pseudonymization techniques in analytics outputs
- Auditing data retention and deletion workflows
- Creating evidence trails for automated data processes
- Versioning control mappings across system updates
Module 3. Data Flow Documentation and Visualization
Build clear, audit-ready data flow diagrams that communicate processing activities to technical and non-technical stakeholders.
12 chapters in this module
- Gathering system inventory for privacy mapping
- Identifying data entry and exit points in microservices
- Tracking data movement across cloud environments
- Documenting API interactions involving PII
- Visualizing consent propagation across touchpoints
- Creating layered diagrams for different audience levels
- Standardizing notation for cross-team consistency
- Automating diagram updates using pipeline metadata
- Integrating flow diagrams into system design reviews
- Validating diagrams against actual implementation
- Maintaining diagrams through product lifecycle changes
- Using diagrams to accelerate regulatory inquiries
Module 4. Privacy Impact Assessments in Practice
Conduct real-world PIAs that inform system design decisions and reduce rework in development cycles.
12 chapters in this module
- Initiating PIAs at the earliest design phase
- Engaging stakeholders across legal, product, and engineering
- Assessing privacy risks in machine learning use cases
- Evaluating data minimization opportunities in pipelines
- Scoring risk likelihood and impact for decision-making
- Documenting mitigation plans with ownership assignments
- Linking PIA findings to control implementation
- Integrating PIA outputs into technical specifications
- Conducting follow-up reviews post-implementation
- Using PIAs to justify architectural choices
- Archiving PIA records for audit readiness
- Scaling PIA processes across multiple projects
Module 5. Vendor Risk and Third-Party Management
Evaluate and manage privacy risks in third-party data processing relationships.
12 chapters in this module
- Identifying vendors with access to PII
- Classifying vendor risk levels based on data exposure
- Conducting due diligence on vendor privacy practices
- Negotiating data processing agreements with legal
- Assessing vendor certifications and audit reports
- Monitoring ongoing compliance through attestations
- Managing sub-processor disclosures and transparency
- Evaluating cloud provider configurations for privacy
- Documenting data transfer mechanisms across regions
- Establishing incident response coordination with vendors
- Terminating relationships with non-compliant processors
- Building vendor oversight into procurement workflows
Module 6. Consent Lifecycle Management
Design and implement systems that support transparent, verifiable consent collection and management.
12 chapters in this module
- Mapping consent requirements to business use cases
- Designing user-facing consent interfaces with clarity
- Capturing consent evidence at point of collection
- Storing consent records with integrity and accessibility
- Linking consent to specific data processing activities
- Handling consent withdrawal and data erasure
- Auditing consent changes over time
- Integrating with identity management systems
- Supporting cross-jurisdictional consent rules
- Automating consent renewal reminders
- Validating consent in downstream analytics
- Reporting on consent compliance metrics
Module 7. Data Subject Rights Fulfillment
Build scalable processes to respond to data subject access, correction, and deletion requests.
12 chapters in this module
- Establishing intake channels for data subject requests
- Verifying requester identity securely
- Locating PII across distributed data systems
- Producing coherent response packages
- Meeting regulatory timelines for fulfillment
- Handling joint controller scenarios
- Exempting legitimate business needs from deletion
- Documenting responses for audit purposes
- Scaling operations during high-volume periods
- Integrating with customer service workflows
- Training staff on request handling procedures
- Monitoring fulfillment accuracy and timeliness
Module 8. Incident Response and Breach Management
Prepare for and respond to privacy incidents with clear protocols and communication plans.
12 chapters in this module
- Defining what constitutes a privacy incident
- Establishing detection mechanisms for data exposure
- Classifying incident severity based on impact
- Activating response teams with clear roles
- Containing data leaks and limiting spread
- Assessing breach notification requirements
- Notifying regulators within mandated timeframes
- Communicating with affected individuals
- Documenting root cause analysis
- Implementing corrective actions
- Coordinating with legal and public relations
- Reporting to executive leadership
Module 9. Internal Audit and Compliance Monitoring
Conduct regular checks to ensure ongoing adherence to privacy controls and identify improvement opportunities.
12 chapters in this module
- Planning audit cycles aligned with business rhythm
- Developing checklists based on ISO 27701 controls
- Sampling data processing activities for review
- Interviewing process owners for control effectiveness
- Reviewing documentation completeness
- Testing control implementation in systems
- Identifying control gaps and weaknesses
- Prioritizing findings by risk level
- Tracking remediation progress
- Reporting results to management forums
- Using audits to refine privacy program
- Preparing for external certification audits
Module 10. Training and Awareness for Technical Teams
Equip engineers and data scientists with practical privacy knowledge relevant to their daily work.
12 chapters in this module
- Assessing current privacy knowledge levels
- Developing role-specific training content
- Integrating privacy into onboarding programs
- Delivering just-in-time learning at key milestones
- Creating reference materials for common scenarios
- Using real incidents as teaching examples
- Measuring training effectiveness through assessments
- Reinforcing concepts through code reviews
- Recognizing privacy champions in teams
- Updating materials for new regulations
- Scaling training across growing organizations
- Linking awareness to control ownership
Module 11. Certification and External Audit Preparation
Navigate the process of achieving ISO 27701 certification and responding to auditor inquiries.
12 chapters in this module
- Selecting an accredited certification body
- Understanding audit phases and timelines
- Preparing documentation packages
- Conducting readiness assessments
- Coordinating evidence collection across teams
- Responding to auditor findings
- Addressing non-conformities effectively
- Demonstrating continuous improvement
- Maintaining certification through surveillance
- Leveraging certification for business advantage
- Preparing for scope changes and expansions
- Building internal expertise to reduce audit burden
Module 12. Sustaining and Scaling the Privacy Program
Evolve the privacy program to keep pace with organizational growth and changing regulations.
12 chapters in this module
- Establishing metrics for program effectiveness
- Reporting progress to leadership forums
- Integrating privacy into strategic planning
- Adapting to new data processing technologies
- Expanding program scope across business units
- Managing resource needs for growth
- Staying current with regulatory developments
- Benchmarking against industry peers
- Fostering a culture of privacy awareness
- Automating compliance workflows
- Reducing manual effort through tooling
- Planning for future certifications and standards
How this maps to your situation
- Early-stage implementation of privacy controls in data systems
- Mid-cycle integration of privacy requirements in architecture reviews
- Pre-audit preparation for certification or compliance review
- Post-incident refinement of privacy processes
Before vs. after
Before
Privacy requirements arrive late in design cycles, leading to rework and tension between data teams and compliance stakeholders.
After
Privacy is embedded early, evidence packages are audit-ready, and influence grows in technical forums where data systems are shaped.
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 for practitioners balancing core responsibilities.
If nothing changes
Without structured integration, privacy will remain a bottleneck in data innovation, leading to delayed launches, compliance gaps, and missed opportunities to lead in technical design discussions.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses on actionable implementation in data science and analytics environments, with templates tailored to real-world peer review scenarios and technical decision forums.
Frequently asked
Is this course technical enough for data practitioners?
Yes, it's built for data scientists and engineers who need to implement privacy controls in systems, not just understand policy.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this to prepare for ISO 27701 certification?
Yes, the course includes templates and workflows used by teams achieving certification in high-growth tech environments.
$199 one-time. Approximately 90 minutes per week over six weeks, designed for practitioners balancing core responsibilities..
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