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AIG0151 Mastering ISO 42001 for Senior Staff Machine Learning Engineers

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior Staff Machine Learning Engineers

Build AI governance frameworks with full control over design and deployment decisions

$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.

Who this is for

Senior Staff Machine Learning Engineers leading Gen AI and LLM infrastructure in semiconductor or EDA environments, accountable for AI system compliance and governance

Who this is not for

Junior engineers, non-technical compliance staff, or practitioners without hands-on Gen AI or LLM deployment responsibilities

What you walk away with

  • Own the end-to-end design and approval of AI governance controls under ISO 42001
  • Set binding thresholds for model validation and data provenance in RAG pipelines
  • Approve or reject third-party AI vendor integrations based on framework alignment
  • Determine which policy exceptions require executive review and which are team-resolvable
  • Lead internal audits with complete decision rights on evidence scope and remediation timing

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 in Machine Learning Contexts
Understand how ISO 42001 applies specifically to Gen AI and LLM systems, distinguishing it from broader compliance 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 2. AI Governance vs Traditional Compliance
Contrast AI-specific governance needs with legacy compliance models to focus on real decision points.
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. Roles and Responsibilities in AI Framework Ownership
Define clear authority boundaries for engineers, compliance teams, and leadership in ISO 42001 deployment.
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. Control Selection for Gen AI Systems
Map ISO 42001 controls to real Gen AI deliverables like RAG pipelines and model fine-tuning workflows.
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. Policy Design with Built-In Engineering Authority
Draft AI policies that delegate final decisions to technical leads without requiring senior review.
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. Vendor Integration and Third-Party Risk Criteria
Establish approval thresholds for integrating external AI tools into internal pipelines.
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 Preparation Without Escalation Loops
Build self-contained evidence packages that reflect team-level decision ownership.
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. Model Validation Thresholds and Exception Handling
Define technical benchmarks for model accuracy, data drift, and hallucination tolerance.
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. Framework Extensions for LLM-Specific Controls
Customize ISO 42001 to cover prompt injection, retrieval quality, and source citation integrity.
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. Incident Response with Embedded Decision Rights
Design response protocols that allow immediate action on data integrity or model drift issues.
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. Stakeholder Communication from an Ownership Position
Frame governance updates as authoritative decisions, not requests for approval.
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. Sustaining Governance Through Leadership Transitions
Document decision rights and precedents so framework continuity survives team changes.
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
Awaiting validation from compliance teams before finalizing model policies.
After
Approving model policy changes directly with documented control alignment.

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 6-8 hours over 3 weeks, designed to fit around core engineering responsibilities.

If nothing changes
Continuing to defer key AI governance decisions erodes technical ownership and slows innovation velocity.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses exclusively on the intersection of ISO 42001 and machine learning engineering, with decision authority frameworks tailored to senior technical roles.

Frequently asked

Is this course technical or compliance-oriented?
It's designed for technical leaders who own AI governance outcomes, balancing deep framework understanding with real engineering authority.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me lead audits?
Yes, you'll gain full control over audit scope definition, evidence selection, and remediation timelines.
$199 one-time. Approximately 6-8 hours over 3 weeks, designed to fit around core engineering 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
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