The program also helps banking professionals create the necessary specialized capabilities, knowledge, and skills to execute AI technologies in their functions. As part of a 75-hour curriculum, the program is focused on introducing more than core theoretical elements to AI with a practical point for implementation in banking and its strategic adoption.

Program Benefits:

Advanced Awareness: Learn about the key AI technologies in banking and which things you need to know.

Career elevation: Strengthen your background to advance to senior positions within the financial/ banking sector.

Rich Learning: Practice what you learn from professional case studies and experience-based workshops.

Networking - Meet your colleagues and gain insights from AI experts

Membership of LIBF: Join the London Institute of Banking & Finance (LIBF) to avail yourself of their professional resources.

Program Modules:

Introduction to AI in Banking

An 8-hour course with the basics about AI and machine learning, the history & evolution of AI in banking, and Trends happening now; Ethicsный. Real-world case studies that demonstrate the impact of AI on banking are Examples collected from various sources across the internet; the aim is to build a program-driven context about this information.

Data Management and AI

This is a 10-hour module that focuses on data management and privacy and security aspects, which are needed for building AI applications. Structured and Unstructured Data: In this course, you will learn about Structured vs. Unstructured data. It is important to know some concepts before attempting any further processing of the data.

AI-Powered Customer Service

What Does Human + AI Customer Service Look Like? 8 hours chatbots and virtual assistants, CRM At this conference, the attendees will also be taught AI—powered personalization practices and how they help in customer experience, as well as successful installation tactics.

AI in Risk Management and Fraud Detection.

In a 10-hour segment, you will learn how to manage bank risks with AI. The course includes AI models for risk assessment, predictive analytics, and fraud detection algorithms with practical examples.

AI in Making Financial Decisions

This 8-hour course covers AI, algorithmic trading, investment strategies, credit scoring, and portfolio management. Participants will investigate decision support systems that would improve the efficiency of AI in making financial decisions.

The future of AI in banking services

spend more than 8 hours exploring digital transformation in banking, developing AI-powered products, and experiencing customer-centric design. Additionally, the module provides best practices for creating and deploying AI banking solutions in the future.

AI Implementation & Integration

The 10-hour “Implementing AI in Your Organization” module includes how to plan for AI implementation, set up the proper infrastructure, integrate with all current systems and processes from a business perspective (including managing change), and monitor solutions that ensure success as well regulatory standards;

Actual Case Studies and Applications

Delivery format: In-person Skill level: Intermediate/ Advanced (3 days) This module combines case studies, real-life simulations, and group project work. Together, participants design AI solutions to solve banking challenges and present their work for peer review.

Assessment and Certification:

For those who successfully complete the program, there is a 5-hour assessment part that includes multiple-choice questions and an individual project meant to help participants prove their practical knowledge of AI in banking. Those who complete the standardized certification will receive a certificate and LIBF membership, making them eligible for higher jobs in the industry sector.

This fast-track learning program is intended for banking professionals who will become experts in AI-related design and applications that drive change within the unfocused segment of banks.