Skip to main content
Image coming soon

Enterprise-Class AI Data Lineage Practices for Senior Leaders

$199.00
Adding to cart… The item has been added

A tailored course, built for your situation

Enterprise-Class AI Data Lineage Practices for Senior Leaders

Master the governance, traceability, and strategic implementation of AI data flows across complex organizations

$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.
Lack of clear, enterprise-wide AI data lineage creates opacity in decision systems and slows audit readiness

The situation this course is for

As AI systems grow in scope and regulatory scrutiny, leaders face mounting pressure to demonstrate where data originates, how it flows, and who governs it, without slowing innovation or overburdening engineering teams.

Who this is for

Senior leaders in technology, data governance, compliance, risk, or enterprise architecture roles leading AI adoption at scale

Who this is not for

Individual contributors focused only on coding, students, or those seeking introductory AI literacy

What you walk away with

  • Establish a board-ready data lineage strategy
  • Implement audit-compliant tracking across AI pipelines
  • Lead cross-functional alignment on data ownership and stewardship
  • Integrate lineage practices into existing governance frameworks
  • Accelerate trust and adoption of AI systems across the organization

The 12 modules (with all 144 chapters)

Module 1. Foundations of Enterprise Data Lineage
Define core concepts, scope, and business value of data lineage in AI-driven organizations
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 2. AI Model Provenance and Traceability
Track model development, inputs, and decisions across lifecycles
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 3. Regulatory Alignment and Compliance
Map lineage practices to GDPR, CCPA, EU AI Act, and sector-specific mandates
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 4. Cross-System Data Flow Mapping
Visualize and govern data movement across hybrid and multi-cloud environments
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 5. Data Stewardship and Ownership Models
Define roles, responsibilities, and accountability frameworks
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 6. Automated Lineage Capture Tools
Evaluate and deploy tooling for scalable, real-time lineage tracking
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 7. Audit Readiness and Reporting
Prepare for internal and external audits with standardized documentation
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 8. Integration with Data Governance Frameworks
Embed lineage into existing data governance and metadata management
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 9. Leadership Communication and Stakeholder Alignment
Translate technical lineage concepts for executives, boards, and legal teams
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 10. Scaling Lineage Across Business Units
Drive adoption and consistency in decentralized organizations
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 11. Risk Mitigation Through Transparency
Reduce compliance, reputational, and operational risk with full visibility
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 12. Future-Proofing AI Investments
Align current lineage practices with long-term AI strategy and innovation goals
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12

How this maps to your situation

  • s1
  • s2
  • s3
  • s4

Before vs. after

Before
Unclear ownership, inconsistent tracking, and reactive responses to audit requests
After
Proactive, transparent, and standardized AI data lineage across the enterprise

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 4-6 hours per module, designed for flexible engagement by working leaders

If nothing changes
Organizations without robust data lineage face increased scrutiny, delayed AI adoption, and higher compliance costs as regulatory expectations evolve.

How this compares to the alternatives

Unlike generic data governance courses, this program is tailored specifically to AI systems, offering implementation-grade frameworks and leadership strategies not found in open-source or vendor-specific training.

Frequently asked

Who is this course designed for?
Senior leaders in technology, data governance, compliance, risk, and enterprise architecture roles driving AI adoption at scale.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a money-back guarantee?
Yes, a 30-day money-back guarantee is included with enrollment.
$199 one-time. Approximately 4-6 hours per module, designed for flexible engagement by working leaders.

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
!