Executive Leadership in Artificial Intelligence (AI) Systems - Virtual Learning
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 Gulf Rowad 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
5 Days
1620 Sessions
Starting from USD 2,000
Available Face to Face
Course 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
Course 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
Target Audience
This Gulf Rowad 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
Target Competencies
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
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
2026 Schedule & Fees
Course Fees Starting From
USD
2,000
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
Face to Face Courses
Face to Face
Executive Leadership in Artificial Intelligence (AI) Systems
5 Days
1566 Sessions
Artificial Intelligence Ai
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