Artificial Intelligence (AI) Systems Architecture and Governance - Virtual Learning
Course Methodology
This training course combines interactive lectures, group discussions, case studies, and practical exercises to provide a comprehensive learning experience. Participants will engage in thought-provoking discussions, analyze real-world scenarios, and apply the concepts learned to practical situations. The training course facilitator will draw upon extensive industry experience to share best practices and provide personalized guidance to attendees. Throughout the training course, participants will have ample opportunities to network with peers and develop actionable plans for implementing corporate governance improvements within their organizations.
Course Objectives
At the end of this training course, you will learn to:
- Understand current AI regulatory landscapes across global regions
- Master adaptive governance approaches for AI systems
- Develop practical skills in AI risk assessment and compliance
- Create adaptive governance frameworks for organizations
- Apply real-world case studies to organizational challenges
Target Audience
This training course is suitable for a wide range of professionals who are involved in AI, governance, risk management, compliance, and infrastructure architecture within their organizations. The training course content is designed to benefit participants from various industries, including oil and gas, financial services, manufacturing, and telecommunications, among others.
This Gulf Rowad Artificial Intelligence (AI) Systems Architecture and Governance training course is suitable to a wide range of professionals but will greatly benefit:
- Technical Program Managers leading AI initiatives
- DevOps Leaders managing AI infrastructure
- Cloud Architects designing AI solutions
- Infrastructure Managers overseeing AI systems
- Security Architects handling AI security
- MLOps Engineers managing AI pipelines
- AI Platform Engineers developing infrastructure
- Technical Project Directors implementing AI systems
Target Competencies
Organisational Impact
The Organisation will have the following benefits,
- Improved AI system reliability and scalability
- Enhanced technical governance frameworks
- Better integration of AI systems
- Reduced technical debt in AI implementations
- Stronger architecture review processes
- Increased efficiency in AI deployments
- Better resource utilization
Personal Impact
At the end of this training course, the participants will gain the following,
- Enhanced technical leadership in AI systems
- Improved architectural decision-making abilities
- Stronger system design capabilities
- Advanced knowledge of AI infrastructure
- Better understanding of technical risk management
Course Outline
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
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
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
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
Future Architecture
- Emerging Trends
- Edge AI Architecture
- Federated Learning Systems
- Neural Architecture Search
- AutoML Platforms
- Quantum-Ready Architecture
2026 Schedule & Fees
| 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 |
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