ITIL® (Version 5) AI Governance

أرسِ حوكمة الذكاء الاصطناعي ضمن إطار ITIL. خلال ثلاثة أيام تتعلّم أساسياته ومخاطره وأخلاقياته واستراتيجيته، وإطار ITIL لحوكمته، وكيفية تصميم هذه الحوكمة وتطبيقها والحفاظ عليها عملياً.

3 أياممتوسط7 وحدات

سجّل أو استفسر ←اسأل عبر واتساب

نظرة عامة

ما ستتعلّمه

المحتوى التقني أدناه معروضٌ باللغة الإنجليزية كما ورد في منهاج الدورة، حفاظاً على دقّة المصطلحات.

Explain AI governance principles and their role within the ITIL framework.
Differentiate governance from management in AI-enabled organizations.
Understand AI capabilities, risks, ethical considerations, and governance requirements.
Assess AI governance maturity and organizational readiness.
Apply the ITIL AI Governance Model and Improvement Model.
Design governance requirements for AI-enabled systems.
Implement governance controls that support responsible AI adoption.
Monitor, assure, and continually improve AI governance.
Align AI governance with regulatory, ethical, and sustainability requirements.
Apply governance principles to real-world AI scenarios.
Prepare for the ITIL AI Governance (Version 5) certification exam.

المنهاج

7 وحدات

Introduction to AI Governance
AI Governance versus IT Governance
Governance versus Management
ITIL Guiding Principles
ITIL Value System
Product and Service Lifecycle
Four Dimensions of Service Management
ITIL Maturity Model
Continual Improvement
Transformation Model
Governance responsibilities and organizational value

AI concepts and terminology
Generative AI
Agentic AI
Narrow AI
AI characteristics and behaviors
AI opportunities and business value
AI across industries
AI-enabled digital transformation
Sustainability considerations
The ITIL AI Capability (6C) Model

AI risk categories
Ethical principles
Fairness
Transparency
Accountability
Human oversight
AI risk profiling
Bias and hallucinations
Data governance
Shadow AI
Strategic AI adoption
AI governance challenges

AI Governance perspectives
Governance lifecycle
AI Governance Model
AI Governance Improvement Model
Governance patterns
Governance maturity
Governance readiness assessment
Governance characteristics
Stress-testing governance

Governance requirements
Decision authority
Human oversight
Governance controls
Preventive, detective, and corrective controls
Governance for Shadow AI
Supplier governance
Sustainability requirements
AI governance implementation
Governance roles and responsibilities

Governance assurance
Governance maturity indicators
Auditability
Traceability
Documentation
Monitoring AI governance
Metrics and observability
Continual improvement
Governance stewardship
Stakeholder feedback
Regulatory compliance
Third-party AI governance

Governance scenario analysis
Governance maturity assessment
AI capability assessment
Governance gap analysis
Risk assessment
Governance design
Governance implementation
Monitoring governance effectiveness
End-to-end governance scenarios
Governance trade-off analysis
Practical exam-style exercises

لمن هذه الدورة

قادة خدمات تقنية المعلومات ومختصو الحوكمة والمخاطر.

قبل أن تبدأ

There are no formal prerequisites for this course. However, familiarity with IT service management concepts, digital transformation, or AI technologies is beneficial.