التقنية : الميتافيرس
- AR Version
- Pathway: AI Literacy Core
االإلمام المهني بالذكاء الاصطناعي للمهن الرقمية ™
AI Literacy for Digital Professions (AILC-DP)™ Workshop | Pathway Mandatory
( Mandatory Foundational Track for AI Role-Upskilling™ Pathways)
AILC-DP™ builds essential AI literacy for professionals, leaders, auditors, and compliance roles to responsibly oversee, govern, and approve AI-driven decisions across digital organizations.
- Last updated : January 3, 2026
- 4.721 students
About the Workshop
AI Literacy for Digital Professions™ (AILC-DP™) is the mandatory foundational AI literacy course for the AI Role-Upskilling™ Pathways.
It prepares participants to understand how AI influences decisions, risk, accountability, compliance, and cybersecurity—without turning them into developers or data scientists.
The workshop equips executives, governance professionals, and AI-security leaders with the judgment and oversight capability required before entering advanced role-based certifications such as CAIO™, CAIA™, AICO™, CAISO™, GAISP™, GAISL™, and AiSOC-X™.
The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.
- – Executives and senior decision-makers responsible for AI adoption
- – Business leaders and digital transformation owners
- – Audit, compliance, and AI governance professionals
- – AI risk and assurance professionals
- – AI security leaders and overseers (non-technical)
- – Professionals using or approving AI in daily workflows
- – Chief AI Overseer (CAIO™)
- – Chief AI Auditor (CAIA™)
- – AI Compliance Overseer (AICO™)
- – Chief AI Security Overseer (CAISO™)
- – GUARDIAN AI Security Professional (GAISP™)
- – GUARDIAN AI Security Leader (GAISL™)
- – AI SOC Expert (AiSOC-X™) – oversight & governance layer
- – Digital Transformation Leaders
- – Risk, Compliance & GRC Professionals
- – How AI changes decision-making across business and governance
- – Where AI introduces risk, bias, and accountability challenges
- – How to define acceptable AI use-case boundaries
- – How AI impacts compliance, auditability, and oversight
- – How AI affects cybersecurity from a leadership perspective
- – When AI decisions must be questioned, escalated, or overridden
- ✓ Avoid AI adoption driven by hype or vendor narratives
✓ Gain confidence to challenge AI outputs and assumptions
✓ Reduce organizational, compliance, and reputational risk
✓ Build a credible AI literacy baseline for leadership and governance
✓ Prepare for advanced AI Role-Upskilling™ certifications
- – AI Decision Oversight: Ability to evaluate AI-driven outcomes responsibly
- – Governance Awareness: Understanding accountability and escalation paths
- – Risk Interpretation: Identifying AI-related operational and compliance risks
- – Use-Case Boundary Setting: Knowing where AI is acceptable—and where it is not
- – AI-Security Awareness: Non-technical understanding of AI security implications
- ✓ AI Fundamentals & Limits: What AI is, what it is not, and where it fails in professional contexts.
- ✓ AI & Decision Impact: How AI influences, accelerates, or distorts business and governance decisions.
- ✓ Data Awareness (Non-Technical): Bias, data quality, and context risks behind AI outputs.
- ✓ AI & Digital Transformation Reality: Separating real transformation from AI hype.
- ✓ AI in Cybersecurity & Security Oversight: Understanding AI-related security risks at leadership level.
- ✓ Responsible AI & Governance: Human accountability, oversight, and control principles.
- ✓ AI Literacy for Decision-Makers: Understand AI’s role in professional environments
- ✓ AI Risk & Accountability Awareness: Recognize responsibility when AI is used
- ✓ Governance & Oversight Judgment: Apply governance principles to AI usage
- ✓ Compliance & Audit Readiness: Interpret AI impacts on assurance and regulation
- ✓ AI-Ready Leadership Competency: Prepare for executive AI roles responsibly
- ✓ Responsible AI principles and global governance practices
- ✓ ISO/IEC AI governance concepts (awareness level)
- ✓ NIST AI Risk Management Framework (conceptual alignment)
- ✓ Global audit, compliance, and assurance expectations for AI
- ✓ Emerging AI regulatory and accountability trends
- ✓ Optional & Recommended: Pass the Certificate : AI Literacy Core – AILC™
- ✓ Professional experience in business, governance, audit, compliance, or leadership
- ✓ Familiarity with organizational decision-making processes
- ✓ No technical, coding, or AI background required
- – Course Students Study Notes – Online version Only
- – AI-security literacy reference guides
- – Certificate of completion upon passing assessment
Service Guide
1. Implementation Manual
- Step-by-step instructions on how to implement the ISO/IEC 42001 standard.
- Detailed processes, templates, and best practices.
1. Printed Materials
- – Physical copies of guides, templates, and notes.
2. Digital Resources
- – Downloadable PDFs and editable documents.
- – Online access to tools and software platforms.
3. Workshops and Webinars
- – Interactive workshops for hands-on practice.
- – Live and recorded webinars for remote learning.
4. Certification Exam Preparation
- – Practice exams and sample questions.
- – Study guides focused on certification requirements.
Practices
Practices for the ISO/IEC 42001 Course
English
1. Interactive Workshops:
Hands-on sessions where participants work on real-world scenarios.
Group activities to encourage collaboration and knowledge sharing.
Practical exercises to apply concepts learned.
2. Case Study Analysis:
In-depth examination of successful ISO/IEC 42001 implementations.
Discussion of challenges faced and solutions applied.
Lessons learned and best practices.
3. Risk Assessment Exercises:
Identifying and evaluating AI-related risks.
Developing risk mitigation strategies.
Using provided templates and tools for risk management.
4. Compliance Audits:
Conducting mock internal audits.
Reviewing compliance checklists and documentation.
Identifying areas for improvement and developing action plans.
5. Role-Playing Scenarios:
Simulating real-world situations to practice decision-making.
Role-playing different stakeholders to understand various perspectives.
Problem-solving tasks to reinforce learning.
6. Policy and Procedure Development:
Creating AI management policies using provided templates.
Developing standard operating procedures for AI tasks.
Customizing documents to fit organizational needs.
7. Ethical and Legal Considerations Workshops:
Discussing ethical implications and legal requirements of AI.
Analyzing case studies on ethical dilemmas.
Developing strategies for ethical AI management.
8. Software Tools Training:
Hands-on training with AI management software or platforms.
Demonstrating how to use tools effectively.
Practice sessions to build proficiency.
9. Q&A Sessions and One-on-One Consultations:
Scheduled sessions for participants to ask questions.
Opportunities for individual consultations with instructors.
Addressing specific concerns and providing tailored advice.
10. Certification Exam Preparation:
Practice exams and sample questions.
Study guides focused on certification requirements.
Tips and strategies for successful exam performance.
Arabic
1. ورش العمل التفاعلية:
جلسات عملية حيث يعمل المشاركون على سيناريوهات واقعية.
أنشطة جماعية لتعزيز التعاون وتبادل المعرفة.
تمارين عملية لتطبيق المفاهيم المكتسبة.
2. تحليل دراسات الحالة:
فحص متعمق لتنفيذات ناجحة لمعيار ISO/IEC 42001.
مناقشة التحديات التي واجهتها والحلول المطبقة.
الدروس المستفادة وأفضل الممارسات.
3. تمارين تقييم المخاطر:
تحديد وتقييم المخاطر المتعلقة بالذكاء الاصطناعي.
تطوير استراتيجيات التخفيف من المخاطر.
استخدام القوالب والأدوات المقدمة لإدارة المخاطر.
4. تدقيق الامتثال:
إجراء تدقيقات داخلية وهمية.
مراجعة قوائم التحقق ووثائق الامتثال.
تحديد مناطق التحسين وتطوير خطط العمل.
5. سيناريوهات لعب الأدوار:
محاكاة مواقف واقعية لممارسة اتخاذ القرارات.
لعب أدوار أصحاب المصلحة المختلفين لفهم وجهات النظر المختلفة.
مهام حل المشكلات لتعزيز التعلم.
6. تطوير السياسات والإجراءات:
إنشاء سياسات إدارة الذكاء الاصطناعي باستخدام القوالب المقدمة.
تطوير إجراءات التشغيل القياسية لمهام الذكاء الاصطناعي.
تخصيص الوثائق لتناسب احتياجات المنظمة.
7. ورش العمل حول الاعتبارات الأخلاقية والقانونية:
مناقشة التداعيات الأخلاقية والمتطلبات القانونية للذكاء الاصطناعي.
تحليل دراسات الحالة حول المعضلات الأخلاقية.
تطوير استراتيجيات لإدارة الذكاء الاصطناعي بشكل أخلاقي.
8. تدريب على أدوات البرمجيات:
تدريب عملي على إدارة البرمجيات أو المنصات المستخدمة في الذكاء الاصطناعي.
عرض كيفية استخدام الأدوات بشكل فعال.
جلسات تدريب لبناء الكفاءة.
9. جلسات الأسئلة والأجوبة والمشاورات الفردية:
جلسات مجدولة لطرح الأسئلة من قبل المشاركين.
فرص للتشاور الفردي مع المدربين.
معالجة القضايا المحددة وتقديم نصائح مخصصة.
10. التحضير لامتحان الشهادة:
اختبارات تجريبية وأسئلة نموذجية.
أدلة دراسية تركز على متطلبات الشهادة.
نصائح واستراتيجيات لتحقيق أداء ناجح في الامتحان.
By incorporating these practices into the course, participants will gain practical experience and confidence in implementing the ISO/IEC 42001 standard, preparing them effectively for real-world application and certification.
- – Course Introduction
- – Certificate Introduction & Exam Details.
Purpose
To establish a shared understanding of AI’s role in professional, business, and governance environments.
Topics & Sub-Topics
What AI is and what it is not
AI as a decision-support vs decision-maker
Why AI requires human accountability
AI literacy as a professional responsibility
Purpose
To explain how AI generates outputs and why professional judgment must remain central.
Topics & Sub-Topics
Pattern recognition vs reasoning
Confidence vs correctness in AI outputs
Why AI explanations can mislead
Human-in-the-loop principles
Purpose
To introduce AI-driven risk and accountability across business and governance.
Topics & Sub-Topics
AI risk categories (operational, ethical, legal)
Decision ownership when AI is involved
Accountability vs delegation
Escalation responsibilities
Purpose
To build awareness of data-related risks without technical depth.
Topics & Sub-Topics
Bias and data quality risks
Context loss in AI outputs
Data misuse and misinterpretation
Documentation expectations
Purpose
To distinguish real AI-driven value from hype.
Topics & Sub-Topics
AI-enabled workflows
Automation vs augmentation
Measuring AI impact responsibly
Organizational readiness indicators
Purpose
To prepare audit and compliance professionals for AI oversight.
Topics & Sub-Topics
Auditability of AI-driven decisions
Evidence, traceability, and explainability
Regulatory expectations
Assurance challenges
Purpose
To introduce AI-related cybersecurity risks from a leadership perspective.
Topics & Sub-Topics
AI as a security risk factor
AI misuse and abuse scenarios
SOC and incident response (oversight view)
Leadership accountability in AI security incidents
Purpose
To define governance structures and acceptable AI use.
Topics & Sub-Topics
Defining AI boundaries
Responsible AI principles
Policy and oversight mechanisms
Ethics vs compliance
Purpose
To validate professional AI literacy, judgment, and readiness.
Topics & Sub-Topics
Scenario-based decision cases
Governance and accountability questions
AI risk identification exercises
Certification readiness for AI Role-Upskilling™ pathways
Successful completion of AILC-DP™ enables direct entry into:
- ✓ CAIO™ – Chief AI Overseer
- ✓ CAIA™ – Chief AI Auditor
- ✓ AICO™ – AI Compliance Overseer
- ✓ CAISO™ – Chief AI Security Overseer
- ✓ GAISP™ / GAISL™ – AI Security Leadership Tracks
- ✓ AiSOC-X™ – AI SOC Expert (Oversight Layer)
AILC-DP™ ensures professionals are ready to govern AI before they are trusted to approve, audit, secure, or lead it.
- ✓ AI Decision Accountability Map: A simple responsibility mapping tool clarifying who owns decisions when AI is involved (approve, oversee, escalate).
- ✓ AI Risk Awareness Matrix (Non-Technical): A high-level matrix identifying operational, ethical, compliance, and cybersecurity risks associated with AI use.
- ✓ AI Governance Readiness Self-Assessment: A lightweight assessment to evaluate an organization’s readiness to govern and oversee AI responsibly.
- ✓ AI Oversight & Escalation Guide: A practical reference outlining when AI outputs must be questioned, overridden, or escalated to leadership.
- ✓ AI Audit & Assurance Awareness Checklist: An introductory checklist highlighting evidence, traceability, and explainability expectations for AI-influenced decisions.
- ✓ AI Cybersecurity Awareness Brief (Executive View): A non-technical briefing tool explaining AI-related cybersecurity risks, SOC awareness, and leadership responsibilities.
Certificate/accreditation and examination
1. The importance of certification:
- Journalists and content creators who work in various media outlets and want to keep up with technological developments.
2. The Exam:
- Journalists and content creators who work in various media outlets and want to keep up with technological developments.
3. Certificate and accreditation:
Attendance Testimonials
1. مقدمة عن التقنيات الحديثة في الإعلام:
- تعريف بالذكاء الاصطناعي والميتافيرس.
- أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.
Q&A
1. مقدمة عن التقنيات الحديثة في الإعلام:
- تعريف بالذكاء الاصطناعي والميتافيرس.
- أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.
Evaluate to Obtain a Certificate of Attendance
التقييم انتهى ، نراكم في محاضرات أخرى
Ramy AlDamati
General Informations
- – Delivery Languages : Arabic or English.
- – Material Languages : Arabic or English.
- – Delivery Format: Inperson , or Self-teaching video lectures.
- – Access from any device and from anywhere.
- – Internationally recognized certificate of attendance.
- – CPE/CPD credits.
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Plan Your Next Steps
These next steps provide Customers with a clear pathway to certification, practical tools for success, and continued professional development.
Join Classroom
Attend live, interactive sessions either online or Recorded inperson for a collaborative learning experience. Sessions led by industry experts, offering opportunities for networking, hands-on exercises, and real-time discussions to deepen their understanding of AI governance and oversight.
Take the Exam
Attendees who complete the program exam successfully will earn the prestigious certification. This globally recognized credential validates their expertise in AI governance, strategic oversight, and implementation. Achieving this certification demonstrates a professional's ability to lead AI initiatives ethically and effectively, and alignment with organizational objectives.
Study Materials
Receive comprehensive study materials and Body of Knowledge (BoK)— a curated repository of essential concepts, frameworks, and tools in AI governance, strategy, and deployment. Resources are designed to reinforce learning and provide ongoing support throughout their professional journey.
ISO 42001 Services
To implement an AIMS, you will need a solid understanding of ISO/IEC 42001's requirements. We have training to provide the required knowledge. Once the system is in place, we can offer a gap assessment. After the successful completion of an audit, we will issue your certificate, confirming the effective implementation of the standard's requirements. An audit against ISO/IEC 42001 from us will help your organization to stand out from the crowd by supporting you to develop and improve performance.
AI Literacy Preparedness Tooling™
The DASO Toolkit equips Professionals with practical resources to oversee AI initiatives. It includes templates for governance policies, risk assessment frameworks, compliance checklists, and tools for managing AI projects and teams. This toolkit ensures Professionals are prepared to apply their skills immediately within their organizations.
AI Literacy Knowledge Resources
Knowledge Guides are a series of detailed, expert-authored documents that delve into specialized topics such as AI risk management, ethical AI practices, and regulatory compliance. These guides serve as valuable references, helping professionals stay informed and make informed decisions as they oversee AI initiatives.
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Meet our Instructors
Ramy AlDamati
ServME ACADEMY
Noor Zahran
Nidal Talib
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