Introduction
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 Artificial Intelligence in Banking 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.
Duration
5 Days
Who Should Attend
- 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
Course Level:
Course Objectives
By the end of this IRES course the participants will be able 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
Course Outline
Module 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
Module 2;Data Analytics and Visualization
- Data Gathering
- Feature Engineering
- Statistical Analysis
- Data Visualization
- Dimensionality Reduction
Module 3;Unsupervised and Supervised Learning
- Similarity estimation
- Clustering
- Association rules
- Recommender systems
- K-Nearest Neighbors
- Decision Trees
- Naïve Bayes
- Artificial Neural Networks
Module 4;Natural Language Processing
- Extracting structure from raw text
- Regular expressions
- Word features and semantics
- Text classification
- Information extraction
- Question answering systems
Module 5;Building a Chatbot
- Extracting information from conversations
- Chatbot as a search engine
- Natural Language Understanding
- Natural Language Generation
- Building a System
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
Click here to register for this course.
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