An Interactive 5-Day Training Course
Artificial Intelligence in Banking
Using AI for Credit Default Prediction, Fraud Detection,
and Smart Customer Assistants
Course Overview
Artificial intelligence has been successfully applied to various fields to create quantum-leap improvements across the entire supply and value chains. Artificial intelligence applications include recommender systems, smart assistants, chatbots, classifiers, and predictive engines. Recommender systems are currently able to recommend the right product to the right person at the right time. Smart assistants are part of everyday life. Chatbots are becoming more and more common in customer service applications. Classifiers can detect fraud, and predictive engines can predict credit defaults.
With the ever-increasing use of social networks by customers, organizations are more inclined to analyze trends and sentiments. Natural Language Processing provides suitable solutions to this problem. Moreover, data visualization tools are becoming crucial to gain insights from the huge amount of data available to organizations.
The participant to this training course will learn how to apply artificial intelligence to the banking sector. In particular, the participant will learn how recommender systems, chatbots, classifiers, and predictive engines can provide value in the banking sector.
This GLOMACS Artificial Intelligence in Banking training course will highlight:
- Data analysis and visualization
- Clustering and customer segmentation
- Machine Learning for credit default prediction and fraud detection
- Natural Language Processing
- Chatbots and smart assistants
Training Objectives
By the end of this Artificial Intelligence in Banking training course, participants will learn to:
- Develop a credit default predictor
- Develop a fraud detection system
- Develop a recommender system
- Develop a customer segmentation system
- Build a chatbot that assists customers
Who should Attend?
This training course is intended for professionals interested in solving problems in the Banking sector using Artificial Intelligence.
This GLOMACS Artificial Intelligence in Banking training course is suitable for a wide range of professionals but will greatly benefit:
- Risk managers
- Marketing managers and professionals in the Banking sector
- Computer programmers who intend to understand the applications of Artificial Intelligence in Banking
- Technologists and researchers interested in Banking and Artificial Intelligence
- Customer service managers and professionals in the Banking sector
- Senior corporate Leaders, Managers, and Department Heads in the Banking sector
About Saudi Glomacs
At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.
With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.
Training Outline
DAY 1: Artificial Intelligence Basics
- Artificial Intelligence and Machine Learning
- Typical applications
- The architecture of a system
- Software tools: Python
- Software tools: R
- Software tools: WEKA
DAY 2: Data Analytics and Visualization
- Data gathering
- Feature engineering
- Statistical analysis
- Data visualization
- Dimensionality reduction
DAY 3: Unsupervised and Supervised Learning
- Similarity estimation
- Clustering
- Association rules
- Recommender systems
- K-Nearest Neighbors
- Decision Trees
- Naïve Bayes
- Artificial Neural Networks
DAY 4: Natural Language Processing
- Extracting structure from raw text
- Regular expressions
- Word features and semantics
- Text classification
- Information extraction
- Question answering systems
DAY 5: Building a Chatbot
- Extracting information from conversations
- Chatbot as a search engine
- Natural Language Understanding
- Natural Language Generation
- Building a system
Certificates
- On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
- Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation
GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.
All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.
Providers and Associations
Sessions in Saudi Arabia locations
Sessions in international locations
Online Sessions
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