Course Overview:
This three-day intensive workshop is designed to introduce non-technical banking professionals into the fundamentals of AI and the practical use of AI tools that enhance efficiency and productivity. The workshop provides an introduction to AI concepts, explores AI’s impact on the banking sector, and demonstrates hands-on applications using tools like ChatGPT. Additionally, the course will address ethical and privacy considerations associated with AI in banking.
Course objectives:
By the end of this workshop, participants will be able to:
- Understand AI fundamentals: Learn core AI principles and their applications in banking, including fraud detection and customer service.
- Develop practical AI skills: Gain hands-on experience with AI tools like ChatGPT to automate reports and analyze data.
- Address ethical and privacy concerns: Understand the ethical challenges and privacy implications of AI in banking.
Upon the completion of this course, the participant will be able to:
- Leverage AI for Data Analysis: Utilize AI tools to extract, analyze, and interpret financial data for better decision-making.
- Implement AI-Driven Automation: Apply AI solutions for fraud detection, risk assessment, and process optimization in banking.
- Enhance Customer Experience with AI: Develop an understanding of AI-powered chatbots and virtual assistants for improved customer engagement.
Course Outline:
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Day 1:
Principles of AI and Data Analysis
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1.1 Introduction to AI and Real-World Use Cases
- Overview of AI concepts and real-world applications.
- Examples of AI use in various industries.
1.2 AI’s Impact on Banking (2 hours)
- Role of AI in fraud detection, risk assessment, and customer service.
- Case studies of AI in banking operations.
1.3 AI-Driven Data Analysis Techniques Using ChatGPT
- Introduction to AI-driven data processing.
- Hands-on exercise using ChatGPT for data analysis.
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Day 2
Machine Learning & AI for Fraud Detection
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2.1 Extracting and Analyzing Financial Data
- Data extraction methods in banking.
- AI-based financial data analysis techniques.
2.2 Understanding Classification and Regression Models
- Introduction to machine learning concepts in banking.
- Hands-on example: Using AI for classification and regression tasks
2.3 Fraud Detection Using AI and Transactional Datasets
- Manual vs. AI-driven fraud detection techniques.
- Case study on AI-powered fraud detection in banking.
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Day 3
AI in Banking, Automation, and Ethics (6 training hours)
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3.1 Customizing AI for Banking Applications (e.g., Custom GPT Models) (2 hours)
- Customizing tailored AI solutions for banking needs.
- Examples of custom AI models in financial institutions.
3.2 AI-Driven Process Automation Using AI Tools
- Automating routine banking operations with AI.
- Demonstration of AI-based automation tools.
3.3 Use Case: AI-Powered Customer Service Chatbot and Automated Reports(2 hours)
- Hands-on exercise in building AI-driven chatbots.
- Generating automated customer reports with AI.
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Delivery Method:
The workshop is fully in-person.
Target Audience:
This workshop is designed for bank employees and financial professionals looking to harness AI without the need for technical expertise. It is ideal for:
- Any non-technical banking professionals interested in AI applications such as: Treasury, Corporate, Marketing, AML Office, PR, Private Banking, Retail, Compliance, Legal, Audit, etc.
Trainer Profiles:
Omar Alibrahim - Workshop Lead Instructor
Omar Alibrahim is the General Manager of the Academy at CODED, with a robust background in both technical development and educational instruction. With a Bachelor's degree in Computer Engineering from Kuwait University, Omar has extensive experience in programming, system design, and leading coding bootcamps. His proficiency in multiple programming languages and frameworks, coupled with his ability to manage and instruct large-scale educational workshops, makes him a pivotal figure in the tech education landscape.
Key Strengths:
- Programming Expertise: Proficient in Swift, iOS development, SwiftUI, JavaScript, Python, Java, ReactJS, NodeJS, ExpressJS, Django, C, C++, C#, ASP.net, and Flask
- Curriculum Development: Experienced in instructing full-stack development and advanced courses in various programming languages and frameworks
- Project Management: Skilled in leading initiatives and managing projects across multiple departments
- Design Skills: Proficient in Figma, Adobe Photoshop, and Illustrator
Professional Experience:
Technical Roles:
- General Manager of the Academy at CODED (2022 - Present): Leading the academy, managing project managers and departments such as marketing, operations, and education
- Project Lead at CODED (2020 - 2022): Led the "Kuwait Codes" initiative, instructing over 500 high school students, and developed internal engineering systems
- Managing Partner at Canteeny (June 2021 - January 2022): Led the development team to launch the Canteeny app, executed marketing strategies, and managed financial planning
Instruction Roles:
- Coding Instructor at Barmej (2018 - 2019): Leading the academy, managing project managers and departments such as marketing, operations, and education
- Instructed CODED Bootcamps: Led the "Kuwait Codes" initiative, instructing over 500 high school students, and developed internal engineering systems
Notable Projects:
- Kuwait Codes Initiative: Instructed over 500 high school students in coding
- Canteeny App: Launched MVP version within five months
- Smarket Project: First place at KFAS Engineering Design Exhibition 2019
Abdulaziz AlYaseen - Workshop Teaching Assistant:
Abdulaziz AlYaseen is an experienced business development specialist and marketing strategist with a strong background in digital campaign management, business development, and data analysis. His innovative initiatives have played a crucial role in expanding CODED’s market reach for both its B2C and B2B divisions, securing key partnerships and driving strategic growth.
Key Strengths:
- Business Development & Client Management: Manages mid to large-cap clients, securing high-value partnerships and tailoring industry-specific course offerings.
- Marketing & Campaign Strategy: Developed and executed targeted digital marketing campaigns that significantly contributed to CODED’s growth.
- Data Analysis & Visualization: Proficient in Python, Pandas, and Matplotlib for analyzing marketing trends, client engagement, and operational efficiency.
- Content Development & Social Media Strategy: Built content banks and crafted digital strategies that enhanced CODED’s brand presence and engagement.
Professional Experience:
Business Development Specialist, CODED
- Manages client relations for major accounts, ensuring program success and industry alignment.
- Led the development of new course offerings tailored to industry demand, improving CODED’s market position.
- Secured high-value contracts with corporate partners to expand CODED’s training initiatives.
Senior Analyst, Marketing, CODED
- Doubled social media posting frequency, increasing engagement and driving revenue growth through targeted digital campaigns.
- Designed and implemented data-driven marketing strategies, leveraging analytics to optimize customer acquisition and conversion rates.
Marketing Officer, Boutiqaat
- Built and scaled the marketing team, launching high-impact boutique campaigns that improved customer engagement and brand visibility.
Additional Information:
- Education: MBA Candidate, Duke University Fuqua School of Business (Class of 2027); B.Sc. in Finance, Gulf University for Science and Technology; BBA in Marketing, Kuwait University.
- Post-Graduate Training: Data Science Bootcamp - CODED
- Technical Skills: Proficient in digital transformation, data analysis and visualization using Python, Pandas, and Matplotlib
