التقنية : الميتافيرس

الرئيس التنفيذي لإمتثال الذكاء الاصطناعي™

AI Compliance Overseer (AICO)™ Workshop

Train professionals to design, implement, and monitor AI compliance frameworks, ensuring adherence to ISO 42001, GDPR, and AI ethics principles, using the LEAP-GDC methodology. The AICO certification aligns with ISO 42001 Lead Implementer & More.

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About the Workshop

The AI Compliance Overseer (AICO)™ Workshop is an advanced, implementation-driven program that prepares professionals to design, deploy, and maintain an Artificial Intelligence Management System (AIMS) in full alignment with ISO/IEC 42001, while integrating supporting frameworks such as ISO/IEC 23894, NIST AI RMF 1.0, EU AI Act, and ISO/IEC 27090 (draft AI Security).

Participants gain not only knowledge of compliance controls but also the hands-on capability to automate, audit, and continuously improve AI governance within real organizational environments.

Through the LEAP-GDC™ methodology (Learn → Execute → Assess → Plan → Govern → Deploy → Certify), the workshop blends compliance theory with risk analytics, ethical alignment, and digital toolkits for automation and audit readiness.

The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.

– AI Governance & Compliance Officers
– Chief AI, Risk, Privacy, and Data Officers
– AI Project Managers and Implementation Leads
– Legal & Regulatory Advisors for AI and Data Protection
– Cybersecurity and AI Security Specialists
– Internal Auditors and Risk Assurance Consultants
– Government and Regulatory Policy Makers

– AI Compliance Overseer (AICO™ Certified)
– AI Governance and Risk Consultant
– AI Compliance Auditor / Lead Implementer
– AI Ethics and Policy Manager
– AI Security Governance Lead
– AI Automation Compliance Engineer

– Implement ISO/IEC 42001 AIMS frameworks and controls (Clauses 4–10, Annex A/B).
– Integrate ISO/IEC 23894 risk management and NIST AI RMF (MAP–MEASURE–MANAGE–GOVERN).
– Design and apply AI Compliance and Audit Programs including Statement of Applicability (SoA).
– Conduct AI Impact Assessments (AIIA) and Ethical Risk Evaluations aligned with EU AI Act requirements.
– Develop and enforce AI Policies, Procedures, and Governance Models at enterprise scale.
– Automate compliance monitoring through AI-driven dashboards, audit agents, and reporting tools.
– Ensure AI Security and Zero-Trust compliance across the AI life cycle.

– Gain mastery in AIMS implementation and AI compliance automation—beyond traditional ISO courses.
– Learn risk-driven, ethics-aligned AI governance applicable to banks, regulators, and tech providers.
– Access exclusive toolkits and dashboards used for real AI audit and monitoring projects.
– Be qualified for ISO 42001 Lead Implementer equivalency + advanced AICO™ certification.
– Join a global network of AI Compliance Practitioners and gain lifetime support and updates.

– AIMS Implementation: Apply ISO/IEC 42001 controls with business alignment and stakeholder context.
– Risk Assessment & AI RMFBuild risk registers, quantify AI risks, and map them to mitigation plans (23894 & RMF).
– Compliance AutomationConfigure AI tools for automated compliance monitoring and reporting.
– AI Security GovernanceImplement controls for adversarial defense and model/data protection.
– Audit and AssuranceDesign internal AI compliance audits and prepare for certification audits.
– Policy LeadershipDevelop ethical AI policies, data governance charters, and compliance KPIs.

– AI Governance & Compliance Fundamentals – ISO 42001 principles and Annex A/B controls.
– AI Risk & Compliance Management – ISO/IEC 23894 and NIST AI RMF integration.
– Ethics, Trust & Transparency – EU AI Act alignment and responsible AI practices.
– AI Security & Zero-Trust – AI supply-chain security and LLM firewalls.
– Compliance Automation & Monitoring – AI dashboards, agentic monitoring flows.
– Audit Readiness & Continuous Improvement – Internal and external AIMS audits.

1. AIMS Implementation Leadership

– Lead projects for establishing ISO 42001 systems.

2. AI Risk Mitigation & Ethical Assurance

– Apply ISO 23894 and EU AI Act criteria.

3. Policy Development & Governance

– Create AI compliance frameworks and oversight boards.

4. Compliance Automation Proficiency

– Deploy AI agents for auditing and reporting.

5. Audit Preparedness & Remediation

– Manage non-conformities and root-cause analysis.

6. Cross-Functional Collaboration

– Bridge Legal, IT, Risk, and Operations teams under AIMS.

– Basic knowledge of AI concepts and organizational risk management.
– Experience in compliance, audit, cybersecurity, or AI development recommended.
– Familiarity with ISO management system structure (9001/27001 style) is helpful.

Training Guide

1. Course Handbook

Comprehensive guide covering all course modules.
Detailed explanations of ISO/IEC 42001 principles, requirements, and implementation strategies.

2. Lecture Slides:

Visual aids used during lectures for better understanding.
Key points, diagrams, and examples.

3. Study Notes

Summarized notes for quick reference.
Important points highlighted from each lecture.

Service Guide

1. Implementation Manual

Step-by-step instructions on how to implement the ISO/IEC 42001 standard.
Detailed processes, templates, and best practices.

2. Risk Assessment Templates

Templates to help identify, evaluate, and mitigate AI-related risks.
Examples and guidelines on how to fill out the templates.

3. Compliance Checklists

Checklists to ensure all necessary steps are taken for compliance.
Items covering legal, ethical, and operational aspects.

Practical Tools

1. Case Studies

Real-world examples of successful ISO/IEC 42001 implementation.
Analysis of challenges faced and solutions applied.

2. Interactive Exercises

Practical exercises to apply concepts learned.
Group activities, role-playing scenarios, and problem-solving tasks.

3. Certification preparation guides and practice exercises.

Access to AI management software or platforms used during the course.
Training on how to use these tools effectively.

Templates and Forms

1.Policy Templates

Training Guide

1. Course Handbook (ISO 42001 + AICO Integration)
2. Lecture Slides with ISO/IEC 42001 Clause Mapping
3. Study Notes on AI Risk & Ethical Governance

Service Guide

1. AIMS Implementation Manual with Clause Crosswalk
2. AI Risk Assessment Templates (ISO 23894 + NIST RMF)
3. Compliance Checklist & Statement of Applicability (SoA) Template

Practical Tools

1. Case Studies from Finance, Telecom, and Government sectors
2. Interactive Compliance Simulation Exercises
3. Certification Exam Prep Kit and Mock Assessments

Templates and Forms

1. AI Policy and Governance Charter
2. Risk Register Template for AI Projects
3. Audit Report & Non-Conformity Form
4. Continuous Improvement Template

1. Printed Materials

– Full workbook, guides, and toolkits.

2. Digital Resources

– Editable templates (PDF + Excel + Word), SoA builders, and audit checklists.

3. Workshops and Webinars

– Live + recorded industry sessions with certified AI Governance experts.

4. Certification Exam Preparation

– Practice exams and sample questions.
– Study guides focused on certification requirements.

The AI Compliance Overseer (AICO)™ program stands apart as a next-generation AI Governance and Compliance certification, designed not just to align with ISO/IEC 42001, but to go beyond it.
It integrates multi-framework intelligence, automation, and applied governance—positioning it as the most comprehensive, future-ready, and tool-driven course available today.

1. Beyond ISO 42001 — Broader Scope and Integration

– Incorporates ISO/IEC 23894 (AI Risk Management) and NIST AI RMF 1.0, giving learners a full lifecycle view of AI risk identification, measurement, and mitigation.Integrates EU AI Act 2024 principles for legality, transparency, and accountability.
Embeds AI Security based on MITRE ATLAS, OWASP AI Security Top 10, and Zero-Trust AI Operations.
– Adds AI Automation & Agentic Compliance, enabling participants to build and use automated audit and compliance monitoring tools.
– Expands governance to include ESG alignment, data-ethics boards, and responsible AI oversight models.

2. Practical Enhancements that Make AICO™ the Gold Standard

– AI RMF & ISO 23894 Integration Track – a complete crosswalk between risk functions (“Map → Measure → Manage → Govern”) and ISO 42001 clauses.
– AI Compliance Automation Lab – simulation-based exercises that build automated SoA generators, audit bots, and KPI dashboards.
– AI Security Submodule – covers adversarial defense, model integrity, poisoning protection, and supply-chain assurance.
– AI Impact Assessment (AIIA) – ready-to-use templates to evaluate bias, safety, and societal impact per EU AI Act.
– Governance Case Practicum – a capstone in which participants design a corporate AI Compliance Charter reviewed by peers.
– Continuous Compliance Dashboard – tracks KPIs, risks, and non-conformities in real time.
– Dual-Path Certification – optional dual recognition: AICO™ Professional Certificate + ISO 42001 Lead Implementer equivalency.

3. Distinct Competitive Edges

– Broader Coverage: Goes beyond ISO 42001 clauses to include AI risk, ethics, and automation frameworks.
– Hands-On Learning: Toolkits, case studies, dashboards, and implementation simulations ensure applied competence.
– Multi-Framework Alignment: Harmonizes ISO, NIST, EU, and ethical AI requirements in a single unified model.
– Hybrid Delivery Model: Combines immersive workshops, live mentor sessions, and self-paced labs.
– Tangible Outputs: Every participant produces an operational AI Compliance Plan, Policy Pack, and Audit Checklist ready for deployment.
– Future-Ready Curriculum: Embeds AI automation, governance analytics, and security readiness to prepare for upcoming standards.
– Professional Recognition: Graduates join a global network of AICO™ Practitioners and qualify for ongoing lifelong learning and updates.

4. Certification Exam Preparation

– Practice exams and sample questions.
– Study guides focused on certification requirements.

The evolving landscape of AI regulation, assurance, and governance demands more than checkbox compliance.
Traditional ISO/IEC 42001 training focuses on management systems — but it doesn’t prepare professionals to handle real-world AI risks, dynamic compliance automation, or security and ethical complexities emerging from Agentic and Autonomous AI systems.

That’s why every enhancement in the AICO™ Workshop is not just added value — it’s a necessity for organizations aiming to build trusted, secure, and audit-ready AI ecosystems.
These additions become even more powerful when harmonized with MetaServ’s proprietary frameworks: CORE-AIM™, AINAVIGATOR™, and GUARDIAN-AI™.

1. Why Each Enhancement Is Essential

– AI RMF & ISO/IEC 23894 Integration
→ Necessary to move from paper compliance to risk-aware governance.
It gives organizations a structured method to map, measure, and manage AI-specific risks (bias, data drift, explainability, model misuse).
CORE-AIM™ complements this by embedding AI maturity indicators, risk scoring, and readiness analytics directly into the compliance roadmap.

– AI Compliance Automation Lab
→ Manual audits and fragmented documentation are unsustainable in fast-moving AI operations.
Automation ensures continuous oversight and cost-efficient governance.
Here, AINAVIGATOR™ acts as the automation intelligence layer—using AI agents to track KPIs, generate real-time SoA reports, and alert on policy violations.

– AI Security Submodule
→ ISO 42001 alone doesn’t address model poisoning, data leaks, or adversarial manipulation.
GUARDIAN-AI™ integrates this missing layer by providing a structured AI Security framework, embedding controls from MITRE ATLAS, OWASP AI Top 10, and Zero-Trust AI architectures.

– AI Impact Assessment (AIIA) Toolkit
→ Mandatory under the EU AI Act and essential for responsible AI governance.
AIIA templates developed under CORE-AIM™ allow traceable documentation of human oversight, safety evaluation, and societal impact scoring — ensuring ethical compliance is auditable.

– Governance Case Practicum & Charter Design
→ Many AI initiatives fail because governance is siloed or policy-light.
The practicum ensures participants can build governance boards, define roles, and operationalize oversight — aligned with AINAVIGATOR™’s governance maps and CORE-AIM™’s maturity benchmarks.

– Continuous Compliance Dashboards
→ Compliance cannot be static. Dashboards powered by AINAVIGATOR™ enable real-time visualization of risk posture, audit readiness, and compliance maturity trends — making governance measurable, not theoretical.

– AI Security and Zero-Trust Readiness
→ As AI integrates into mission-critical workflows, zero-trust compliance isn’t optional.
GUARDIAN-AI™ ensures secure model deployment, identity-aware data access, and defense against LLM-specific attacks, establishing the “AI Security by Design” baseline.

– Dual-Path Certification Model (AICO™ + ISO 42001)
→ Bridging professional certification (AICO™) with international accreditation (ISO) creates a dual advantage: recognized credibility + applied capability.

2. How Proprietary Frameworks Make It Work Together

CORE-AIM™:
– Core Function : AI Governance & Maturity Model
– Contribution to AICO™ : Provides risk-based maturity scoring, KPI definitions, and readiness analytics for ISO 42001 integration.

AINAVIGATOR™ :
– Core Function : AI Compliance Automation & Oversight
– Contribution to AICO™ : Powers AI dashboards, SoA automation, and continuous monitoring agents for real-time compliance assurance.

GUARDIAN-AI™ :
– Core Function : AI Security & Defense Architecture
– Contribution to AICO™ : Embeds zero-trust AI security, adversarial resilience, and supply-chain defense mechanisms into AIMS.

3. Distinct Competitive Edges

– Broader Coverage: Goes beyond ISO 42001 clauses to include AI risk, ethics, and automation frameworks.
– Hands-On Learning: Toolkits, case studies, dashboards, and implementation simulations ensure applied competence.
– Multi-Framework Alignment: Harmonizes ISO, NIST, EU, and ethical AI requirements in a single unified model.
– Hybrid Delivery Model: Combines immersive workshops, live mentor sessions, and self-paced labs.
– Tangible Outputs: Every participant produces an operational AI Compliance Plan, Policy Pack, and Audit Checklist ready for deployment.
– Future-Ready Curriculum: Embeds AI automation, governance analytics, and security readiness to prepare for upcoming standards.
– Professional Recognition: Graduates join a global network of AICO™ Practitioners and qualify for ongoing lifelong learning and updates.

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.

- Overview

Course Introduction
Certificate Introduction & Exam Details.

(1) Learn – Understanding AI Governance & Compliance

Purpose: Build foundational and advanced knowledge of AI compliance and regulatory adherence.

Module 1: Understanding AI

1.1 Overview of AI Compliance Frameworks: ISO 42001, GDPR, EU AI Act.
1.2 Basics of AI Ethics, Privacy, and Transparency.
1.3 Compliance Trends in AI and Emerging Legal Challenges.
1.4 Understanding the AI Compliance Lifecycle.
1.5 Role of AI in Organizational Risk Management and Governance.
1.6 Exploring Case Studies in AI Compliance Failures and Best Practices.

(2) Execute – Developing AI Compliance Frameworks

Purpose: Enable participants to design and implement compliance processes within AI systems.

Module 2: Developing AI Compliance Processes

2.1 Developing AI Compliance Roadmaps.
2.2 Building Data Governance Models for Compliance.
2.3 Aligning Compliance Goals with Business Objectives.
2.4 Integrating Ethical Principles into AI Development.
2.5 Implementing AI-Powered Compliance Monitoring Tools.

(3) Assess – AI Risk Identification & Mitigation Strategies

Purpose: Validate compliance processes through testing, audits, and risk assessments.

Module 3: Compliance Validation and Risk Mitigation

3.1 Conducting Compliance Audits for AI Systems.
3.2 Testing AI Systems for Legal and Ethical Adherence.
3.3 Simulating Compliance Failures and Recovery Plans.
3.4 Identifying and Addressing Gaps in AI Compliance.
3.5 Performing Risk Assessments and Mitigation Strategies.

(4) Plan – Strategic Compliance Implementation & Documentation

Purpose: Prepare organizations to scale compliance capabilities effectively.

Module 4: Strategic Compliance Planning

4.1 Evaluating Organizational Compliance Maturity.
4.2 Creating Long-Term Compliance Strategies for AI Systems.
4.3 Enabling Teams with Compliance Knowledge Repositories.
4.4 Defining Key Compliance Performance Indicators.
4.5 Building Organizational Alignment for Compliance Objectives.

(5) Govern – Governance & Compliance Oversight

Purpose: Establish governance structures to oversee compliance operations.

Module 5: AI Governance Frameworks

5.1 Building AI Compliance Boards and Committees.
5.2 Defining Roles and Responsibilities for Compliance Oversight.
5.3 Ensuring Data Sovereignty and Security in Compliance Operations.
5.4 Managing Compliance Risks Across Cross-Functional Teams.
5.5 Strengthening Organizational Transparency in Compliance Operations.

(6) Deploy – Continuous AI Compliance Monitoring & Audit Readiness

Purpose: Implement and monitor compliance frameworks for sustained adherence.

Module 6: Deploying and Monitoring AI Compliance

6.1 Deployment of AI Compliance Frameworks.
6.2 Continuous Monitoring and Reporting for Regulatory Adherence.
6.3 Leveraging AI Tools for Compliance Automation.
6.4 Addressing Deployment Challenges in Compliance-Heavy Industries.
6.5 Creating Feedback Loops for Continuous Improvement in Compliance.

(7) Certify – Certification Preparation & Exam Readiness

Purpose: Validate participants’ expertise through rigorous evaluation and certification.

Module 7: Certification Preparation and Validation

7.1 Key Compliance Concepts Review.
7.2 Certification Preparation and Exam Readiness.
7.3 Practical Application of Compliance Frameworks.
7.4 Developing and Presenting AI Compliance Implementation Plans.

- Overview

Course Introduction
Certificate Introduction & Exam Details.

(1) Learn – Understanding AI Governance & Compliance

ISO/IEC 42001 overview and relationship with ISO/IEC 22989 & 23894
Ethics, transparency, and trustworthiness principles
Compliance landscape: EU AI Act, GDPR, NIST AI RMF
Case studies of AI compliance success and failures

(2) Execute – Developing AI Compliance Frameworks

Designing AIMS roadmaps and SoA documents
Building data governance models and risk controls
Aligning compliance objectives with business value
Integrating ethics and explainability into AI design

(3) Assess – AI Risk Identification & Mitigation Strategies

Risk assessment approaches (ISO 23894 + NIST AI RMF)
Bias detection and fairness metrics
Testing for legal and ethical adherence
Gap analysis and corrective action plans

(4) Plan – Strategic Compliance Implementation & Documentation

Evaluating organizational readiness and maturity (LEAP-GDC™)
Building long-term compliance roadmaps
Defining KPIs and OKRs for AI governance
Team enablement and knowledge repositories

(5) Govern – Governance & Compliance Oversight

Creating AI Compliance Boards and committees
Roles and responsibilities for AI oversight
Ensuring data sovereignty and accountability
Cross-functional compliance management

(6) Deploy – Continuous AI Compliance Monitoring & Audit Readiness

Automation of compliance controls and reporting
AI audit simulation and mock inspection
Developing improvement plans and corrective action loops
Zero-trust compliance and AI security operations

(7) Certify – Certification Preparation & Exam Readiness

Review of key ISO/IEC 42001 domains
Scenario-based practice assessments
Final capstone project: AI Compliance Implementation Plan
AICO™ certification exam readiness session

Module 1: Introduction to ISO/IEC 42001

Understanding AI and its implications
Key concepts and terminology
The need for responsible AI development
Introduction to ISO/IEC 42001 Certification and its benefits

– AI Compliance Implementation Toolkit (v2.0)
– ISO 42001 Clause Mapping Matrix & SoA Builder
– ISO/IEC 23894 Risk Register & Assessment Guide
– NIST AI RMF Crosswalk Template
– AI Impact Assessment (AIIA) Toolkit
– AI Security Controls Checklist (OWASP & ATLAS aligned)
– Continuous Compliance Dashboard & KPI Tracker
– AI Audit Simulation Pack with Non-Conformity Templates

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:

Read the details here

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.

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First Name

Last Name

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Upload Profile Image

Choose File

Verse-related Technologies

Interested to be Part of

Which Program you might be interested

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Ideas & Recommendations

Suggest for us good Profiles like yours to join us:

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I consent to having this website store my submitted information so they can respond to my inquiry

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LEVEL

Executive

Duration

5 Days

Modules

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

Get a Full 360° ISO/IEC 42001 & AI Auditing Offering : These next steps provide Customers with a clear pathway to certification, practical tools for success, and continued professional development as Chief AI Compliance (AICO)™.

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 AI Compliance Overseer (AICO)™ 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.

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Study Materials

Receive comprehensive study materials and AICO 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.

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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.

AICO Preparedness Tooling™

The AICO 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.

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AICO Knowledge Resources

The AICO 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.