A tailored course, built for your situation
Mastering PCI DSS for Principal Data Scientists in Mining and Industrial IoT
Build a self-reinforcing security and compliance foundation that compounds across every data pipeline and IoT integration
$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.
Repeatable compliance work that feels like starting from zero every time
The situation this course is for
Most data scientists treat each PCI DSS requirement as a one-off, rebuilding documentation and controls from scratch. This slows delivery, increases audit risk, and prevents the team from building institutional leverage.
Who this is for
Principal Data Scientists in asset-intensive industries who own or influence secure data architecture across IoT, smart metering, and cloud analytics infrastructure
Who this is not for
Entry-level compliance analysts or IT auditors without hands-on data pipeline responsibilities
What you walk away with
- A fully documented PCI DSS control library mapped to data flows in industrial IoT environments
- A repeatable architecture template for compliant ML and analytics pipelines
- A growing repository of audit-ready artefacts that compound across projects
- Faster turnaround on compliance reviews by reusing proven patterns
- Stronger influence in cross-functional design sessions due to consistent, battle-tested deliverables
The 12 modules (with all 144 chapters)
Module 1. PCI DSS Scope in Data-Intensive Mining Environments
Define cardholder data footprint across smart metering, SCADA, and operational networks with precision.
12 chapters in this module
- Data flow mapping in industrial IoT systems
- Identifying CDE touchpoints in telemetry streams
- Boundary decisions between OT and IT
- Carving scope out of multi-system analytics clusters
- PCI DSS scoping documentation standards
- Common mis-scoping risks in mining ops
- Working with network architecture teams
- Zone definition for data-in-motion
- Legacy system inclusion criteria
- Documenting scope exceptions
- Maintaining scope over time
- Versioning scope diagrams
Module 2. Reference Architecture Design Principles
Build reusable blueprints for compliant data pipelines from sensor to insight.
12 chapters in this module
- Layering security into data pipeline design
- Embedding control points in ETL flows
- Designing for audit readiness from day one
- Modular architecture patterns
- Reusable component libraries
- Naming conventions for compliance assets
- Version control for architecture artefacts
- Diagramming standards for clarity
- Cross-project template adoption
- Integrating with enterprise architecture
- Documentation as code for compliance
- Automation-ready design choices
Module 3. Control Mapping for Machine Learning Pipelines
Map PCI DSS requirements directly to model training, scoring, and monitoring workflows.
12 chapters in this module
- Mapping Req 1 to network segmentation in ML clusters
- Req 2 and secure configuration baselines
- Req 3: Data handling in model development
- Req 4: Encryption for training data
- Req 5: Malware protection in notebook environments
- Req 6: Secure coding in Python scripts
- Req 7: Role-based access in feature stores
- Req 8: Authentication for model APIs
- Req 9: Physical access to training hardware
- Req 10: Logging in ML workflows
- Req 11: Vulnerability scanning in GPU nodes
- Req 12: Policy documentation for MLOps
Module 4. Compliance Artefact Reuse Patterns
Turn one-off deliverables into recurring assets across projects and teams.
12 chapters in this module
- Template design for audit responses
- Standardized control descriptions
- Reusing network diagrams
- Pre-validated cloud resource configurations
- Common security questionnaires
- Building a central repository
- Tagging system for traceability
- Searchable knowledge base setup
- Cross-team contribution model
- Versioning and deprecation rules
- Governance for shared assets
- Measuring reuse impact
Module 5. Automating Evidence Collection
Embed compliance telemetry into pipelines so audits become status checks, not sprints.
12 chapters in this module
- Logging control compliance in pipeline code
- Automated configuration checks
- Integrating with SIEM systems
- Cloud-native compliance monitoring
- Real-time DLP for cardholder data
- Scheduled evidence export routines
- API-based audit trails
- Automated gap detection
- Thresholds and alerts
- Integration with GRC platforms
- Testing automation reliability
- Maintaining audit chain of custody
Module 6. Cross-Project Knowledge Transfer
Structure outputs so every team grows stronger from past work.
12 chapters in this module
- Standardized debrief templates
- Post-implementation reviews
- Lessons log maintenance
- Mentorship pairing models
- Best practice cataloging
- Internal knowledge sharing
- Cross-functional onboarding
- Vendor team enablement
- Succession planning
- Performance indicator tracking
- Feedback loops into design
- Scaling team capability
Module 7. Secure Data Pipeline Implementation
Deploy compliant analytics infrastructure with built-in reusability.
12 chapters in this module
- Infrastructure as code templates
- Versioned deployment manifests
- Secure baseline configurations
- Automated compliance checks
- Environment parity
- Secure secret management
- Data masking in dev/test
- Role-based access controls
- Network segmentation patterns
- Patch management integration
- Change control workflows
- Disaster recovery considerations
Module 8. Audit Preparation and Response
Respond with confidence using pre-built, proven evidence packages.
12 chapters in this module
- Understanding auditor expectations
- Preparing sample requests
- Organizing evidence packages
- Response ownership model
- Internal review process
- Evidence version control
- Timeline management
- Gap justification frameworks
- Follow-up readiness
- Using historical data
- Maintaining response tone
- Post-audit improvement
Module 9. Building a Compounding Security Culture
Turn individual wins into team-wide momentum.
12 chapters in this module
- Leadership communication
- Celebrating compliance milestones
- Embedding security in rituals
- Incentive alignment
- Training integration
- Storytelling for adoption
- Measuring cultural shift
- Feedback mechanisms
- Cross-team collaboration
- Visibility into progress
- Linking to business outcomes
- Sustaining momentum
Module 10. Third-Party and Vendor Oversight
Ensure partners extend your standards, not dilute them.
12 chapters in this module
- Vendor security questionnaires
- Pre-contract assessments
- SLAs with compliance terms
- Oversight reporting
- Right-to-audit clauses
- Integration design standards
- Data handling agreements
- Penetration test expectations
- Incident response coordination
- Exit strategy planning
- Ongoing monitoring
- Relationship governance
Module 11. Continuous Improvement Cycle
Make every audit, review, and incident a source of compounding strength.
12 chapters in this module
- Root cause analysis
- Corrective action tracking
- Trend analysis
- Benchmarking against peers
- Feedback from auditors
- Lessons from incidents
- Proactive risk identification
- Control enhancements
- Automation opportunities
- Updating reference materials
- Team-wide knowledge updates
- Celebrating progress
Module 12. Ownership and Leadership Transition
Ensure your standards survive and grow beyond your direct involvement.
12 chapters in this module
- Succession planning
- Documentation completeness
- Mentorship frameworks
- Knowledge transfer checklists
- Leadership onboarding
- Stakeholder communication
- Maintaining accountability
- Updating playbooks
- Scaling across regions
- Adapting to new tech
- Evolving with regulations
- Celebrating legacy
How this maps to your situation
- New PCI DSS project starting
- Post-audit improvement cycle
- Vendor integration into data pipeline
- Team onboarding or expansion
Before vs. after
Before
Each PCI DSS project starts from scratch, rebuilding documentation, recreating controls, and re-proving compliance.
After
Every delivery builds on a growing library of proven patterns, reducing effort and increasing influence with each cycle.
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 8 hours to complete, with flexible pacing and immediate access to all materials.
If nothing changes
Continuing to rebuild compliance from scratch each time leads to burnout, audit failures, and missed opportunities to lead at scale.
How this compares to the alternatives
Unlike generic PCI DSS training, this course is tailored for Principal Data Scientists in industrial environments, focusing on reusable artefacts and compounding value across real-world IoT and analytics deployments.
Frequently asked
Is this course focused on technical implementation or policy?
It covers both, structured to build technical artefacts that satisfy policy requirements, with an emphasis on reuse.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me reduce audit preparation time?
Yes, by building a growing library of reusable, audit-ready artefacts from each engagement.
$199 one-time. Approximately 8 hours to complete, with flexible pacing and immediate access to all materials..
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