# AI in Banking

> Apply AI to credit, fraud, customer service and operations in banks, and govern models to meet regulatory expectations.

- **Provider:** Afriskora Training Solutions
- **Category:** Banking, Economics & Monetary Policy
- **Duration:** 3 days
- **Formats:** classroom (cities across Africa), live virtual (Zoom/Teams), in-house for teams
- **Certificate:** Afriskora Certificate of Completion, verifiable online
- **Booking:** request dates and a quote; invoice and EFT payment
- **Web page:** https://afriskora.co.za/courses/banking-economics/ai-in-banking
- **Request dates:** https://afriskora.co.za/request-training?course=ai-in-banking

## Overview

Banks are using AI to approve loans in minutes, detect fraud in real time and serve customers through chat and voice. This course explains where AI creates value across the bank, how to build and buy AI responsibly and what supervisors expect on model risk, fairness and explainability. Participants assess use cases for their own institution and outline an implementation roadmap.

## Who should attend

- Bank executives and strategy teams
- Credit, fraud and risk managers
- Digital, data and IT leaders
- Compliance officers and supervisors

## Learning outcomes

- Identify high-value AI use cases across retail and corporate banking
- Understand AI credit scoring with alternative data
- Apply AI to fraud, AML and transaction monitoring
- Govern AI models in line with supervisory expectations
- Build a prioritised AI roadmap for the bank

## Course outline

### Module 1: AI across the bank

- Use cases from front office to back office
- Generative AI for service and productivity
- Data foundations
- Build, buy or partner

### Module 2: Credit, fraud and AML

- Machine-learning credit scoring
- Alternative data and inclusion
- Real-time fraud detection
- AI-assisted AML monitoring

### Module 3: Governance and roadmap

- Model risk management
- Fairness, explainability and consumer protection
- Regulatory expectations
- AI roadmap workshop