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Executive Leadership in Artificial Intelligence (AI) Systems

An Interactive 10-Day Training Course

Executive Leadership in Artificial Intelligence (AI) Systems

Mastering Data Governance, Privacy, and Technical Architecture

NASBA
Classroom Schedule
Date Venue Fees
03 - 14 Aug 2026 Lisbon $ 11,900
30 Nov - 11 Dec 2026 Dubai $ 11,900

Introduction

This Executive leadership in Artificial Intelligence (AI) systems training course designed for senior leaders responsible for organizational AI strategy, implementation, and governance. The training course combines technical architecture, data governance, and privacy frameworks with leadership and strategic decision-making. You gain a better understanding of AI in a global business context and important additional knowledge of AI architecture requirements maximise value.

The following are the highlights of this GLOMACS Executive Leadership in Artificial Intelligence (AI) Systems training course:

  • Understanding of strategic AI governance frameworks
  • Lead organizational privacy and compliance initiatives
  • Direct technical architecture decisions
  • Drive digital transformation strategies
  • Implement effective governance models

Modules

This training course is split into the following modules:

Module I - Data Governance, Privacy & Integrity in Artificial Intelligence (AI)

Module II - Artificial Intelligence (AI) Systems Architecture and Governance

Objectives

The primary objectives of the training course is to help delegates to:

  • Master strategic decision-making in AI governance by understanding verified regulatory frameworks, privacy requirements, and technical architectures across the Middle East and global landscape, enabling confident leadership in digital transformation
  • Develop comprehensive implementation strategies for data governance and AI systems by leveraging real-world case studies ensuring practical application of learned concepts
  • Lead organizational change and risk management through understanding verified compliance frameworks like PDPL, SAMA guidelines, and EU AI laws, while building robust governance structures that balance innovation with regulation
  • Create and oversee integrated technical and governance frameworks by understanding the interplay between data privacy, system architecture, and organizational requirements, enabling effective leadership of cross-functional teams
  • Build and implement sustainable, compliant AI strategies through understanding emerging technologies, verified regulatory requirements, and documented implementation methodologies, ensuring long-term organizational success in AI adoption

Training Methodology

Participants will increase competencies through a variety of instructional methods including lecture, exercises, reviewing published articles, checklists, videos, and group discussions. A comprehensive training course manual enabling practical application and reinforcement is provided.Delegates are encouraged to bring real problem examples with them, for discussion on a confidential basis, and to share their experience of particular issues

Organisational Impact

The organization will benefit by:

  • Establishing robust, compliant AI governance frameworks aligned with verified regional regulations
  • Creating integrated data governance and technical architectures based on proven implementations from leading organizations, ensuring efficient resource utilization and improved operational performance
  • Developing sustainable compliance processes that adapt to changing regulatory requirements, supported by documented frameworks and implementation methodologies from successful regional digital transformation initiatives
  • Building stronger cross-functional collaboration between technical and governance teams through shared understanding of verified frameworks, improving project execution and reducing implementation risks
  • Enhancing competitive advantage through properly governed AI implementations that balance innovation with compliance, based on documented success cases.

Personal Impact

Attendees will gain by participation in this training course as a result of:

  • Developing their expertise in AI governance through exposure to verified frameworks, real-world case studies, and practical implementation strategies from leading organizations across the Middle East, enhancing their ability to lead digital transformation initiatives
  • Mastering both technical and governance aspects of AI implementation through hands-on experience with documented frameworks from regulatory bodies, strengthening their decision-making capabilities
  • Building a professional network of senior leaders in AI governance through interactions while gaining access to verified implementation methodologies and best practices
  • Acquiring practical skills in risk management and compliance through analysis of real case studies from organizations enabling confident leadership of AI initiatives
  • Enhancing their career progression by developing expertise in both strategic and practical aspects of AI governance, supported by knowledge of verified regulatory frameworks and successful implementation strategies

Who should Attend?

This GLOMACS Executive Leadership in Artificial Intelligence (AI) Systems training course is suitable to a wide range of professionals, but will greatly benefit:

  • IT Directors responsible for digital transformation and AI strategy implementation, who need comprehensive understanding of both technical architecture and governance frameworks
  • Digital Transformation Leaders managing the integration of AI systems while ensuring compliance with regional regulations like PDPL and SAMA guidelines
  • Data Protection Officers (DPOs) and Privacy Directors responsible for implementing data governance frameworks and ensuring compliance with verified regulatory requirements across AI implementations
  • Enterprise Architects and Technical Directors overseeing AI system design and integration, who need to balance technical requirements with governance frameworks
  • Compliance Officers and Legal Directors handling AI-related regulatory requirements and risk management.
  • Information Security and Risk Management Leaders responsible for protecting AI systems and data while ensuring adherence to documented security frameworks
Course Outline

Module I: Data Governance, Privacy & Integrity in Artificial Intelligence (AI)

Day 1

Global Data Privacy Landscape and AI

Global Privacy Framework

  • EU GDPR and AI Systems
  • China's Personal Information Protection Law (PIPL)
  • Saudi Arabia's Personal Data Protection Law (PDPL)
  • UAE Federal Decree Law No. 45 of 2021
  • African Data Protection Harmonization Framework

Regional Focus

  • SAMA Data Privacy Guidelines
  • Qatar Financial Centre Privacy Rules
  • African Regional Frameworks
  • Privacy implementation in AI systems
  • Cross-border data transfer solutions
  • Compliance monitoring systems
Day 2

AI Data Governance Frameworks

Core Components

  • Data Classification Systems
  • Data Lifecycle Management
  • Privacy by Design Principles
  • Data Quality Management

Implementation

  • Data Governance Operating Models
  • Privacy Impact Assessments
  • Data Protection Controls
  • Monitoring Systems
Day 3

AI Privacy Risk Management

Risk Framework

  • Privacy Risk Assessment Models
  • Data Protection Impact Assessments
  • Vendor Risk Management
  • Cross-border Data Transfers 

Technical Controls

  • Data Anonymization Techniques
  • Encryption Standards
  • Access Control Systems
  • Audit Mechanisms
  • Risk assessment methodology
  • Technical controls implementation
  • Compliance monitoring
Day 4

Practical Implementation

  • Organizational Integration
  • Privacy Governance Structure
  • Role Definition and Responsibilities
  • Training and Awareness
  • Change Management

 Monitoring

  • Privacy Metrics Development
  • Incident Response
  • Reporting Frameworks
  • Continuous Improvement
Day 5

Future Trends

  • Emerging Topics
  • Privacy-Preserving AI Techniques
  • Federated Learning
  • Synthetic Data
  • Edge Computing Privacy

Module II: Artificial Intelligence (AI) Systems Architecture and Governance

Day 6

AI Systems Foundation

Architectural Fundamentals

  • Enterprise AI Architecture Patterns
  • Cloud vs On-Premise AI Infrastructure
  • Distributed AI Systems
  • Model Operations (MLOps)
  • Infrastructure Security Standards

Regional Implementation

  • Saudi Cloud First Policy (verified)
  • UAE TRA's actual published guidelines
  • Qatar's documented Cloud Policy
  • South Africa's GPC framework
  • Nigeria's Cloud Computing Policy
  • Architecture decisions
  • Implementation challenges
  • Governance framework
Day 7

AI System Components

Core Components 

  • Model Development Platforms
  • Data Pipeline Architecture
  • Model Serving Infrastructure
  • Monitoring Systems
  • Version Control for AI 

Integration 

  • API Management
  • Microservices Architecture
  • Container Orchestration
  • Service Mesh Implementation
  • DevSecOps for AI
  • Dubai Smart City
  • System design
  • Integration approach
  • Performance metrics
Day 8

Governance Framework

Technical Governance

  • Architecture Review Boards
  • Change Management Processes
  • Release Management
  • Configuration Management
  • Security Controls

Operational Controls 

  • Performance Monitoring
  • Capacity Planning
  • Disaster Recovery
  • Incident Management
  • SLA Management
  • Governance structure
  • Control framework
  • Risk management
Day 9

Implementation Strategies

Deployment Models

  • Continuous Integration/Deployment
  • A/B Testing Frameworks
  • Canary Deployments
  • Blue-Green Deployments
  • Shadow Deployments 

Quality Assurance

  • Testing Strategies
  • Performance Testing
  • Security Testing
  • Compliance Validation
  • User Acceptance Testing
  •  Etihad Airways
  • Deployment strategy
  • Testing approach
  • Quality metrics
Day 10

Future Architecture

  • Emerging Trends
  • Edge AI Architecture
  • Federated Learning Systems
  • Neural Architecture Search
  • AutoML Platforms
  • Quantum-Ready Architecture
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates.
  • Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.
Providers and Associations

Endorsed Education Provider

NASBA

In Association With

Oxford Management Centre

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Options & Brochure
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Frequently Asked Question

No. Saudi GLOMACS delivers courses in Saudi Arabia and internationally, including delivery across Europe and Asia. This allows organisations and professionals to access training both locally and abroad.

No. While governance and leadership are part of the portfolio, Saudi GLOMACS delivers training across the entire business and professional lifecycle, including administrative, technical, legal, regulatory, and sector-specific training.

Yes. Saudi GLOMACS designs and delivers bespoke in-house training tailored to organisational objectives, sector requirements, and workforce needs. Training can be delivered in Saudi Arabia or internationally, depending on requirements.

Courses delivered in Saudi Arabia are adapted to reflect local regulatory frameworks, organisational structures, sector conditions, and professional expectations. This ensures training is relevant, practical, and aligned with Saudi workplace realities.

GLOMACS has been delivering professional training for over thirty years, with courses delivered across Europe, the Middle East, Asia, and other international markets.

Saudi GLOMACS combines three decades of global training experience with a clear focus on Saudi market relevance. This allows it to deliver training that is both internationally credible and locally applicable, across a broader range of disciplines than niche or single-focus providers.

Saudi GLOMACS is a Saudi-based professional training provider delivering courses tailored to the Saudi market and applicable internationally. It operates within the global GLOMACS framework and draws on more than three decades of international training experience.

Saudi GLOMACS offers professional training across a wide range of disciplines, including administration, leadership and management, governance and regulation, law, oil and gas, energy, engineering, finance, digital technologies, and sector-specific specialisations.

Training supports professionals across all career stages, from operational roles to specialist and senior responsibilities.

Participants include professionals from public sector, semi-government, and private sector organisations, across a wide range of roles and industries. Attendees range from administrative and operational professionals to technical specialists, managers, and senior decision-makers.

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