A tailored course, built for your situation
Mastering SOC 2 for Senior AI/ML Data Engineers in High-Trust Tech Environments
Build auditable, scalable compliance into AI/ML data pipelines with confidence
$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.
Spending cycles chasing audit evidence instead of designing robust systems
The situation this course is for
Despite deep technical expertise, engineers spend disproportionate time retrofitting compliance narratives onto existing pipelines, especially when SOC 2 timelines tighten. Manual lineage mapping, policy-to-code gaps, and cross-functional evidence coordination create rework just before review deadlines.
Who this is for
Senior AI/ML Data Engineer at major tech firms, embedded in high-governance environments where SOC 2, ISO 27001, or NIST CSF compliance impacts pipeline design. Values technical precision, quiet authority, and getting work done without spectacle.
Who this is not for
Entry-level engineers, compliance generalists without technical depth, or practitioners outside regulated data environments.
What you walk away with
- Produce a complete SOC 2 evidence package for data pipelines in under 10 hours
- Automate data lineage and control assertion generation within CI/CD workflows
- Position yourself as the internal authority on SOC 2-compliant ML infrastructure
- Reduce cross-team friction during audit cycles with standardized evidence formats
- Design pipelines with compliance embedded, not bolted on
The 12 modules (with all 144 chapters)
Module 1. Why SOC 2 Matters for AI/ML Data Engineers Now
Understand how SOC 2 is evolving to cover algorithmic systems and why data engineers are now central to audit success. Learn the five trust service criteria and how each applies to data pipelines.
12 chapters in this module
- How SOC 2 audits now include machine learning infrastructure
- The shift from IT general controls to data pipeline accountability
- Why data lineage is now a control requirement
- Common gaps between engineering output and auditor expectations
- How Meta and peers are adapting SOC 2 for AI systems
- The role of the data engineer in control design and evidence
- What auditors actually look for in pipeline documentation
- How SOC 2 interacts with internal privacy and security policies
- The cost of non-compliance at scale for AI-driven products
- Mapping SOC 2 requirements to real pipeline components
- Why manual fixes fail under recurring review cycles
- Building credibility through consistency, not spectacle
Module 2. Mapping SOC 2 Controls to Data Pipeline Architecture
Translate SOC 2 requirements into technical design decisions. Identify which pipeline components map to which control domains.
12 chapters in this module
- Breaking down SOC 2 into data-accessible components
- Mapping authentication controls to data layer permissions
- How encryption requirements apply to data at rest and in transit
- Control mapping for model training data sources
- Documenting access controls for feature stores
- Ensuring processing integrity across distributed pipelines
- Availability controls for real-time inference systems
- Designing for confidentiality in multi-tenant data environments
- Privacy controls for personal data in training sets
- How logging and monitoring meet audit expectations
- Control ownership in shared pipeline environments
- Avoiding over-engineering while meeting compliance
Module 3. Automating Evidence Collection in CI/CD
Embed compliance checks directly into development workflows to eliminate manual evidence gathering.
12 chapters in this module
- Integrating SOC 2 checks into pre-commit hooks
- Automating data schema change logging
- Generating control assertions from pipeline metadata
- Using tagging to track data provenance automatically
- Versioning pipeline configurations for audit trails
- Triggering evidence generation on merge requests
- Validating data quality controls in staging environments
- Building self-documenting pipeline templates
- Automating access review reports from IAM logs
- Generating audit-ready logs from Kubernetes operators
- Reducing manual work with declarative control policies
- Scaling evidence production across multiple pipelines
Module 4. Designing SOC 2-Compliant Data Lineage
Implement end-to-end data traceability that satisfies auditors without sacrificing engineering velocity.
12 chapters in this module
- Defining minimum viable lineage for SOC 2
- Capturing source-to-feature transformation paths
- Automating lineage extraction from DAGs
- Documenting model input dependencies
- Linking training data to production drift alerts
- Storing lineage in queryable formats
- Using OpenLineage or Metaflow for standardization
- Handling lineage for third-party data sources
- Validating lineage completeness before audit
- Integrating lineage into incident response
- Balancing granularity with maintainability
- Making lineage a team-wide practice
Module 5. Control Implementation in Data Storage Layers
Secure data at rest with SOC 2-aligned access, encryption, and retention policies.
12 chapters in this module
- Classifying data by SOC 2-relevant sensitivity
- Enforcing RBAC on data lake directories
- Implementing least-privilege access to feature stores
- Key rotation policies for encrypted datasets
- Audit logging for data access events
- Managing access for external partners
- Retention policies aligned with compliance needs
- Handling data deletion in distributed systems
- Securing temporary data in pipeline steps
- Documenting data storage controls for auditors
- Validating storage controls via automated scans
- Scaling storage controls across global deployments
Module 6. Pipeline Monitoring That Meets Compliance Standards
Design observability systems that support both engineering and audit objectives.
12 chapters in this module
- Defining SOC 2-relevant monitoring thresholds
- Tracking pipeline uptime for availability claims
- Alerting on unauthorized pipeline changes
- Logging pipeline execution for audit trails
- Validating data integrity checks automatically
- Monitoring for PII exposure in logs
- Using Prometheus and Grafana for compliance
- Integrating alerts with incident response
- Documenting monitoring configurations
- Ensuring monitoring systems themselves are secure
- Reducing noise while maintaining coverage
- Scaling monitoring across hundreds of pipelines
Module 7. Documentation That Doesn't Stall Development
Create living, versioned documentation that stays in sync with code and satisfies auditors.
12 chapters in this module
- Writing SOC 2 documentation as code
- Embedding control descriptions in pipeline configs
- Generating data dictionaries from schema
- Using READMEs that auto-update with changes
- Linking documentation to CI/CD pipelines
- Maintaining SOC 2 narratives in Git
- Versioning control assertions with code
- Automating SoA updates from pipeline changes
- Reducing documentation drift in agile teams
- Peer-reviewing compliance docs like code
- Scaling documentation across engineering teams
- Making documentation useful beyond audits
Module 8. SOC 2 in the AI/ML Lifecycle
Apply SOC 2 principles across model development, training, deployment, and monitoring.
12 chapters in this module
- Applying controls to training data pipelines
- Securing model artifacts in registries
- Access controls for model deployment
- Logging model inference behavior
- Monitoring for data drift and bias
- Documenting model change approvals
- Ensuring reproducibility of training runs
- Validating model inputs for integrity
- Handling model rollback in compliance terms
- Auditing model access and usage logs
- Updating SOC 2 narratives for A/B tests
- Scaling compliance across model portfolios
Module 9. Cross-Functional Evidence Coordination
Streamline collaboration between data, security, and compliance teams during audit cycles.
12 chapters in this module
- Defining clear handoffs for evidence
- Using shared templates for control assertions
- Aligning engineering timelines with audit cycles
- Building trust with security teams
- Managing feedback from compliance reviewers
- Running dry-run evidence collection
- Coordinating evidence across time zones
- Reducing ambiguity in control ownership
- Using Slack and Jira for evidence tracking
- Establishing SOC 2 office hours
- Scaling coordination across multiple audits
- Avoiding silos in compliance work
Module 10. Audit-Ready Pipeline Design Patterns
Adopt proven architectural patterns that bake SOC 2 into systems from day one.
12 chapters in this module
- Template for SOC 2-aware pipeline scaffolding
- Using infrastructure-as-code for consistency
- Standardizing logging and monitoring
- Designing for immutable audit trails
- Implementing change control gates
- Using service accounts with clear ownership
- Enabling automated compliance testing
- Designing for multi-environment parity
- Building in data retention and deletion
- Documenting architecture decisions
- Scaling patterns across teams
- Updating patterns as SOC 2 evolves
Module 11. Continuous SOC 2 Validation
Shift from audit-driven compliance to continuous, automated assurance.
12 chapters in this module
- Running SOC 2 checks in nightly builds
- Validating control effectiveness automatically
- Detecting configuration drift from policies
- Using policy engines like Open Policy Agent
- Generating compliance scorecards
- Alerting on control failures
- Integrating validation into sprint cycles
- Measuring compliance debt
- Reporting progress to leadership
- Reducing last-minute fire drills
- Scaling validation across large systems
- Making compliance a team sport
Module 12. Becoming the Go-To Practitioner for SOC 2 in AI/ML
Position yourself as the internal expert and trusted resource across teams.
12 chapters in this module
- Sharing templates and tools across teams
- Running brown-bag sessions on SOC 2
- Mentoring junior engineers on compliance
- Contributing to internal playbooks
- Influencing pipeline design standards
- Collaborating with security architecture
- Representing engineering in compliance talks
- Publishing internal case studies
- Scaling your impact through documentation
- Building quiet authority through consistency
- Earning recognition without self-promotion
- Shaping the future of compliant AI systems
How this maps to your situation
- Audit preparation
- Pipeline development
- Cross-functional collaboration
- Leadership communication
Before vs. after
Before
Spend weeks assembling SOC 2 evidence, chasing lineage, and reconciling control gaps after the fact.
After
Produce a complete, defensible SOC 2 package in under 10 hours with automated, repeatable systems.
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 on a Sunday, plus 30 minutes per week for implementation.
If nothing changes
Without systematic integration of SOC 2 into pipeline design, engineers risk recurring last-minute scrambles, increased cross-team friction, and diminished credibility when compliance demands grow.
How this compares to the alternatives
Generic SOC 2 courses focus on policy and checklists. This course is built for engineers who need to implement compliance in real systems. Unlike broad compliance guides, it provides code-level patterns, automation blueprints, and peer-validated templates used in production at major tech firms.
Frequently asked
Is this course technical or theoretical?
It's technical. You'll learn how to implement SOC 2 controls in real pipelines, automate evidence, and design for auditability.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me outside of Meta?
Yes. The skills are transferable to any high-governance tech or AI-driven environment requiring SOC 2 or similar compliance.
$199 one-time. 90 minutes on a Sunday, plus 30 minutes per week for implementation..
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