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Introduction to the course
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 KC ACADEMY Artificial Intelligence in Banking online 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 online 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
Course details
By the end of this 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
This online training course will utilize a variety of proven online learning techniques to ensure maximum understanding, comprehension, retention of the information presented. The training course is conducted Online via an Advanced Virtual Learning Platform in the comfort of any location of your choice.
The organization will ensure that the participant employees know the latest developments in Artificial Intelligence and how it can solve business problems.
Organisations will:
- Learn to identify opportunities for applying Machine Learning to solve business problems
- Learn to use the most employed software in AI and data analytics
- Learn to build prediction systems
- Learn to build customer segmentation and recommender systems
- Learn to build and effectively use chatbots
- Learn how Natural Language Processing could be used to solve business problems
The participant will become familiar with one of the most exciting technologies that are expected to have a huge impact on all aspects of life.
As a participant, you will:
- Become familiar with Artificial Intelligence and its applications
- Learn how to visualize and interpret data to make recommendations
- Learn how to build and use predictive engines to make informed decisions
- Learn how to extract knowledge from raw text
- Learn how chatbots could be helpful in your job instead of being a risk
- Become familiar with AI tools such as Python, R, and WEKA
This KC ACADEMY online training course is intended for professionals interested in solving problems in the Banking sector using Artificial Intelligence.
This online 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
Frequently Asked Questions
There are no prerequisites. Our courses are open to students of all backgrounds who are 18 years of age and older. All courses are conducted in English. Video lectures include English subtitles and the option to slow-down, pause, or replay lectures for better retention. Discussion boards are a critical component of each of our courses; therefore, we suggest students have a conversational knowledge of English when pursuing a Certificate of Completion. For any of the art writing courses, students need to be 100% proficient in written English.
You should have an up-to-date web browser such as: Chrome, Safari, Firefox, or Internet Explorer. For more detailed information, please see the guides for supported browsers and basic computer specifications. Our Online Courses can be accessed on a mobile or tablet device, although we strongly encourage you to have access to a desktop or laptop computer and reliable internet connection for certain course components. Former students have told us it is easiest to read discussion threads and complete written assignments on a laptop or desktop computer.
Registration is available on our website. Just follow these simple steps: Click the “Apply Now” button in the top right corner of your screen. Select “Online Courses.” Choose your course(s). You will be asked for basic contact information and your credit card payment. We require full payment at the time of registration and all tuition is billed in US dollars. Be sure to check with your bank or credit card company, as your financial institution may charge a foreign transaction fee.
Our classes are kept small, at no more than 30 students, to better facilitate and encourage personalized interaction with the instructor and fellow participants. Your classmates come from all over the globe and contribute their global perspectives and experience. Some are currently working within the arts while others are just beginning. All classmates share in their passion for the art world.
It is recommended that you begin your course promptly. If you do need to start the course a few days late, contact your instructor as soon as possible after the course has opened to discuss your options. Registration closes on the Friday after the course begins.
Enroll now
Click on a date to enroll and save your seat
Course customization available
Course customization available
This training course is available to be conducted at your own pace & at your own time. Request for a quotation now and our training advisor will contact you shortly
