Course Overview:
This 1-day workshop offers a comprehensive introduction to AI and generative AI technologies, focusing on their applications in banking and finance. Participants will explore AI’s transformative potential across operational, customer service, and predictive analytics domains. The session also highlights emerging risks, such as security vulnerabilities and bias, and equips participants with the skills to implement internal AI governance frameworks.
Course objectives:
- Provide a foundational understanding of artificial intelligence and its significance in the banking and financial sectors.
- Cover essential AI principles, including machine learning models, decision trees, neural networks, and support vector machines.
- Examine real-world use cases, including AI-driven risk assessment, customer service automation, and predictive analytics.
- Explain the role of big data, AI-driven analytics, and data-driven decision-making in financial institutions.
- Guide participants on the best practices, regulatory considerations, and challenges of deploying AI in banking.
Upon the completion of this course, the participant will be able to:
- Understand the Strategic Importance of AI in Banking: Recognize how AI enhances customer experience, fraud detection, and operational efficiency in financial institutions.
- Grasp Key AI and Machine Learning Algorithms: Learn about decision trees, neural networks, and support vector machines, along with their banking applications.
- Evaluate Data Utilization in AI-Driven Banking: Analyze how financial institutions leverage big data and predictive analytics for decision-making.
- Implement AI Solutions in Banking Operations: Analyze how financial institutions leverage big data and predictive analytics for decision-making.
- Develop AI-Based Use Cases: Engage in hands-on projects to create AI applications for customer engagement, operational improvements, and predictive maintenance.
Course Outline:
AI Foundations for Banking
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- Introduction to AI in Banking
- Core Concepts of AI and Machine Learning
- Data in Banking
- Applications of AI in Banking
- Implementing AI Solutions
- Measuring Success and ROI
- Future Trends in AI and Banking
- Hands-On Workshop
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Delivery Method:
In-Person Classes
Target Audience:
This course is designed for banking professionals looking to enhance their knowledge of artificial intelligence and its applications in financial services. It is ideal for:
- Bank executives and decision-makers seeking AI-driven strategies for improving efficiency and managing risks.
- Financial analysts and data professionals leveraging AI for predictive analytics, fraud detection, and credit risk assessment.
- Customer experience managers applying AI to personalize financial services and automate support functions.
- Risk and compliance officers understanding AI’s role in fraud prevention, regulatory adherence, and cybersecurity.
- Technology and innovation teams working on implementing AI-based banking solutions and digital transformation initiatives.
