AI for Financial Services

AI for Financial Services (online)

Date Time
2024-11-27 01:25 PM - 07:25 PM
2024-11-28 01:30 PM - 06:30 PM
2024-11-29 02:31 PM - 07:31 PM
2024-11-30 03:32 PM - 07:32 PM
2024-12-01 02:33 PM - 07:33 PM
2024-12-02 02:33 PM - 06:33 PM

Course Description

Introduction

Develop your organization’s financial management with AI-powered solutions tailored to your business needs and ensure your employees are equipped with the skills to enhance their ability to detect fraud, assess credit risk, and improve portfolio management, which will enhance their work efficiency and increase their profits continuously.

Objectives
  1.  Understand the role of AI and how it can be used to solve financial obstacles and enhance informed
    decision-making 
  2. Learn techniques for detecting errors and dealing with financial fraud to mitigate it in real-time. 
  3. Build credit scoring systems using machine learning streamline loan approvals and reduce defaults. 
  4. Apply AI algorithms to dynamic portfolio allocation and trading strategies. 
  5. Leverage financial time series forecasts and anticipate trends based on accurate data  
Who should attend

This course is ideal for professionals and organizations looking to integrate AI into their financial operations:

  • Financial analysts and risk managers
  • Data scientists and AI engineers in finance
  • Portfolio managers and investment advisors
  • Compliance and fraud prevention teams
  • Banking and fintech leadership teams
Impact

 After completing the course, participants will be able to: 

  1. Understand the transformative impact of AI on financial and strategic decision-making. 
  2. Seamlessly automate time-consuming financial processes, reducing operating costs. 
  3. Use data-driven models to enhance forecast accuracy and reduce errors. 
  4. Address ethical challenges in adopting AI, and be able to innovate accurate solutions.  
Prerequisites

 To get the most out of the learning, participants should have: 

  • Basic knowledge of statistics and data analysis. 
  • Familiarity with Python or another programming language. 
  • Understanding of financial concepts such as risk, trading, and portfolio management.  
Curriculum