An Intensive 5-day Training Course

Artificial Intelligence (AI) in Banking

Using AI for Credit Default Prediction, Fraud Detection,
and Smart Customer Assistants

INTRODUCTION TO THE COURSE

Artificial Intelligence (AI) is making transformative strides across industries, with the banking sector reaping substantial benefits through enhanced efficiency and innovation. From personalized product recommendations and intelligent virtual assistants to fraud detection systems and predictive analytics, AI technologies are revolutionizing the way financial institutions operate.

Recommender systems now deliver tailored solutions to customers at the right time, while chatbots and smart assistants are redefining customer service experiences. AI classifiers can identify fraudulent activities in real-time, and predictive engines are helping banks foresee credit defaults with greater accuracy. As social media use increases among consumers, financial organizations are turning to Natural Language Processing (NLP) to interpret public sentiment and trends. In parallel, the growing volume of data has elevated the importance of visualization tools to extract actionable insights.

This Artificial Intelligence (AI) in Banking training course is designed to equip participants with practical skills in applying AI within banking environments. Delegates will explore how technologies such as chatbots, predictive engines, recommender systems, and customer segmentation models can deliver measurable value to banking operations.

Key topics include:

  • Data analytics and visualization techniques
  • Customer segmentation through clustering
  • Credit default prediction and fraud detection using machine learning
  • Applications of Natural Language Processing (NLP) in finance
  • Chatbots and virtual assistants in customer engagement

COURSE DETAILS

Objectives Icon

OBJECTIVES

By the end of this Artificial Intelligence in Banking training course, participants will be able to:

  • Design and implement a predictive model for credit risk assessment
  • Build fraud detection systems using machine learning classifiers
  • Develop recommender systems for personalized banking solutions
  • Create customer segmentation models to support targeted marketing
  • Construct functional chatbots for enhanced customer support
Methodology Icon

TRAINING METHODOLOGY

Participants in this AI in Banking training course will receive thorough training on the subjects covered by the course outline with the Tutor utilising a variety of proven adult learning teaching and facilitation techniques. Training course methodology includes combining a presentation of the main concepts and hands-on practical exercises to be completed by the participant.

Organizational Impact Icon

ORGANISATIONAL IMPACT

Organizations will benefit from staff equipped to harness the power of AI for solving real-world banking challenges. This AI in Banking training course empowers employees to:

  • Identify practical AI applications for solving core business problems
  • Utilize leading software tools used in AI and data analytics
  • Build prediction and decision-support systems tailored to banking needs
  • Implement recommender engines and segmentation models to enhance customer experience
  • Apply NLP and chatbot technologies to streamline customer interactions
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PERSONAL IMPACT

Participants will gain exposure to one of today’s most impactful technologies, enhancing their professional capabilities and confidence in data-driven decision-making. Benefits include:

  • A solid foundation in AI and its banking applications
  • Skills in visualizing and interpreting data to support strategic initiatives
  • Hands-on experience building predictive models and decision systems
  • Understanding how to extract insights from text using NLP
  • Knowledge of AI tools such as Python, R, and WEKA
  • The ability to deploy AI solutions for better customer service and risk management
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WHO SHOULD ATTEND?

This training course is intended for professionals interested in solving problems in the Banking sector using Artificial Intelligence.

This KC Academy Artificial Intelligence (AI) 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

 

DAILY AGENDA

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
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Certificate

On successful completion of this training course, KC ACademy Certificate will be awarded to the delegates.

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