- Register and complete the payment through the official training website.
- Upon successful registration, an invitation email—including the access link, workshop resources, and Pre- & Post-Assessment links—will be sent one day before the workshop.
The AI and Automation in Banking and Financial Services course explores the transformative role of artificial intelligence (AI), machine learning, and automation in reshaping financial institutions. As the banking sector evolves, AI-driven innovations are improving risk management, fraud detection, customer service, and investment strategies, while also raising ethical and regulatory concerns. Participants will gain insights into machine learning applications in fraud prevention and risk analysis, automated trading strategies, AI-powered chatbots, robo-advisors, and AI-driven credit scoring models. The course also covers natural language processing (NLP) for financial services, regulatory considerations, and real-world case studies on AI adoption in banking. By the end of this workshop, learners will understand how to integrate AI and automation into financial services, assess associated risks, and leverage technology for efficiency, security, and customer engagement.
• Banking and Financial Services Professionals
• Fintech and AI Engineers
• Risk Managers and Compliance Officers
• Wealth Managers and Investment Analysts
• Cybersecurity Experts
• Business Leaders and Entrepreneurs
Certificate of participation issued by the UASA & SCA Professional Training & Examinations Centre.
[05 CPD Hours] (Workshops on financial crimes, AML or Cybersecurity or Innovation in securities)
15:00 - 16:20 Session 1
16:20 - 16:30 Break
16:30 - 17:50 Session 2
17:50 - 18:00 Break
18:00 - 19:00 Session 3
• Introduction to AI in Financial Services
• Machine Learning for Risk Analysis and Fraud Detection
• Automated Trading and Algorithmic Strategies
• AI-Powered Chatbots and Customer Service
• Robo-Advisors and AI in Wealth Management
• Natural Language Processing in Finance
• AI and Credit Scoring Models
• Regulatory and Ethical Considerations for AI in Finance
• Case Studies on AI Implementation in Banking
One Day
English