An Interactive 10-Day Training Course
Executive Leadership in AI Systems
Mastering Data Governance, Privacy, and Technical Architecture
Course Overview
This ten-day GLOMACS intensive training course is designed for senior leaders responsible for shaping AI strategy, implementation, and governance within their organizations. The program integrates technical architecture, data governance, and privacy frameworks with leadership and strategic decision-making, equipping participants with the expertise to maximize AI value in a global business context.
Key Highlights of This Executive Leadership in AI Systems Training Course:
- Gain a deep understanding of strategic AI governance frameworks.
- Lead organizational privacy and compliance initiatives to align with regulatory standards.
- Make informed decisions on AI architecture and system implementation.
- Drive digital transformation strategies to enhance business operations.
- Establish and implement effective AI governance models for sustainable success.
Modules
This training course is split into two modules:
Module I - Data Governance and Privacy in AI Systems
Module II - AI Systems Architecture and Governance
Each module is structured and can be taken as a stand-alone training course; however, delegates will maximise their benefits by taking Module 1 and 2 back-to-back as a 2-week training course.
Training Objectives
This Executive Leadership in AI Systems training series is designed to equip participants with the knowledge and skills to effectively lead AI governance, compliance, and implementation strategies within their organizations.
- Master strategic decision-making in AI governance by understanding regulatory frameworks, privacy requirements, and technical architectures across the Middle East and global landscape, enabling confident leadership in digital transformation.
- Develop practical implementation strategies for data governance and AI systems by leveraging real-world case studies to ensure the effective application of learned concepts.
- Lead organizational change and risk management by applying compliance frameworks such as PDPL, SAMA guidelines, and EU AI regulations while establishing governance structures that balance innovation with regulatory adherence.
- Create and oversee integrated technical and governance frameworks by understanding the relationship between data privacy, system architecture, and organizational needs, ensuring effective leadership of cross-functional teams.
- Build and implement sustainable, compliant AI strategies by incorporating emerging technologies, regulatory requirements, and structured implementation methodologies, ensuring long-term success in AI adoption.
Who should Attend?
This Executive Leadership in 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
About Saudi Glomacs
At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.
With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.
Training Outline
Module 1: Data Governance and Privacy in AI Systems
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 2: AI Systems Architecture and Governance
DAY 6: DAY 1: 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: DAY 2: 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: DAY 3: 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: DAY 4: 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: DAY 5: Future Architecture
- Emerging Trends
- Edge AI Architecture
- Federated Learning Systems
- Neural Architecture Search
- AutoML Platforms
- Quantum-Ready Architecture
Providers and Associations
Sessions in international locations
What do you need to learn next?
Check our list of courses or let us customize a course for you.
View courses
