About the program
Participants will learn key Al terminologies and tools, develop prompt engineering techniques, and explore automation through Al agents to streamline daily operations. The program also addresses Al implementation challenges, governance, and ethical considerations, while showcasing practical use cases in areas such as credit scoring, fraud detection, and customer experience.
New Giza University CampusWhat You’ll Learn
Foundational AI
ML & Prompt Engineering
Assessing AI tools
GPT, RPA & predictive analytics in a banking context
Work Automation
Identify automation opportunities inonboarding, reporting & credit evaluation
Applications
Best practices for integrating AI into legacy banking systems
Regulations
Address regulatory & ethical risks, including bias detection & fairness
Highlights
4 days of instructor-led, in-person training at NewGiza University
Tailored for Egypt’s banking operational realities
Use-case driven exercises and ROI-focused applications
Learn from world class industry experts
Modules
AI Terminologies And Tools
Introduces key AI concepts, risks, and limitations, while showcasing available tools and their applications in banking. Participants gain practical exposure through success stories and basic tool demonstrations.
Prompt Engineering Techniques
Covers the foundations of prompt engineering and its use in financial operations. Learners practice crafting and refining prompts to optimize AI responses, tailored to Egypt’s banking environment.
Automation And AI Agents
Explores how AI agents can automate everyday banking operations, reporting, and scheduling. Participants learn to integrate these tools within existing systems to enhance efficiency and accuracy.
AI Implementation Challenges
Examines the main barriers to AI adoption; data quality, legacy systems, and cultural resistance. The module guides participants in developing actionable solutions to drive smooth implementation.
Ethical And Regulatory Frameworks
Focuses on AI governance aligned with CBE regulations and data privacy standards. Participants learn how to design compliant, transparent, and ethical AI frameworks for responsible deployment.
AI Applications In Banking
Applies previous learnings to real-world use cases across retail, corporate, and specialized banking services, helping participants identify and design practical AI solutions for their institutions.
Ready to become an AI leader in banking?
Join the program and start transforming the future today.
For inquiries
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