About the program
This course equips participants with the frameworks and practices required to manage data, privacy, ethics, governance, and security for AI systems in banking. It focuses on building compliant, trustworthy, and scalable AI foundations aligned with regulatory, ethical, and operational requirements.
New Giza University CampusWhat You’ll Learn
Design Robust
data management and quality frameworks for AI systems
Apply privacy regulations
and privacy-preserving techniques in AI development
Build ethical,
transparent, and accountable AI data practices
Focus on fairness,
explainability, accountability, and trust in AI
Best-practice
driven approach for sustainable AI adoption
Highlights
End-to-end coverage of data, privacy, ethics, governance, and security for AI
Strong alignment with banking regulations and international standards
Practical frameworks for implementation, monitoring, and compliance
Focus on fairness, explainability, accountability, and trust in AI
Best-practice driven approach for sustainable AI adoption
Modules
Data Management Foundations
Covers banking data architectures, data quality frameworks, and lifecycle management. Focuses on structuring, maintaining, and governing high-quality data as a foundation for AI systems.
Data Privacy in Banking AI Systems
Addresses local and international privacy regulations and privacy-preserving techniques. Enables participants to embed privacy into AI data processing, assessment, and monitoring.
Ethical AI Data Practices
Focuses on ethical frameworks, bias mitigation, fairness, and explainability. Guides learners in building transparent, accountable, and trustworthy AI decision-making processes.
Data Governance for AI Banking Systems
Explains how to design AI data governance frameworks, define roles and responsibilities, and enforce policies. Emphasizes governance structures that ensure compliance and operational control.
Security Integration for AI Banking Systems
Covers AI-specific security architectures, controls, monitoring, and incident response. Focuses on securing data, models, and AI pipelines across development and production environments.
Implementation & Best Practices
Provides implementation strategies, change management approaches, and performance optimization frameworks. Helps organizations adopt AI responsibly while ensuring continuous improvement and sustainability.
Ready to become an AI leader in banking?
Join the program and start transforming the future today.
For inquiries
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