Artificial Intelligence in Finance

Offered by The Sandbox

Online Course / TGS-2020504204

Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Certification
Entry Requirements
Course Fees

Course Information

Deep dive into the digital wave sweeping across the finance industry fueled by emerging technologies such as A.I.

Hear insights from global speakers, collaborate and compete in assignments with a panel of regulator and industry leaders.

First-industry led course for AI in Finance

Our mission is to provide our learners with the tools and the knowledge to embrace the AI revolution in finance. For this reason, we created a reference course with the industry for the industry. Participants will be given a comprehensive overview on the most relevant trends through a very structured curriculum.

Learn from global thought leaders

Participants will learn from industry leaders who work at the largest financial institutions, fast growing startups, investors and regulators.

Those leaders share their experience and in-depth knowledge through the course, and give a unique insights on the use of AI in finance in the US, Europe and Asia.

Understand all sides of AI

The course gives an overview of the potential and challenges of AI in finance, from insights of entrepreneurs who are developing AI to leaders implementing AI in financial institutions.

From the technology to the role of people and the importance of ethics, participants will understand AI in a balanced structured way.

If you don’t have a basic understanding regardless of what role you have in the bank, you will be left behind as the bank innovate and pivot using AI.

Ayesha Khanna (Singapore), Co Founder and CEO of ADDO.AI, Co Founder of the Hybrid Reality Institute, Faculty Advisor at Singularity University.

Partner

Learning Outcomes

The online course if composed of video lectures taught by the Senior Lecturers, readings that complement the topics addressed in the lectures, and video interviews from Industry experts to illustrate specific points raised by the lecturers.

For more info, visit the Centre for Finance, Technology and Entrepreneurship.

Course 
Schedule

Course Date: TBC
Application Period: TBC
Duration: TBC
Time: TBC
Delivery Mode: Synchronous e-Learning
Venue: Online

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

An Industry Overview of AI
  • Module 1: Introduction to Artificial Intelligence
  • Module 2: Use cases of AI outside of Finance
  • Module 3: Use cases of AI in Finance
  • Module 4: Industry drivers of AI in Finance
  • Module 5 : AI trends and future developments
AI Technologies
  • Module 6: AI, Machine Learning and Deep Learning
  • Module 7: Natural Language Processing
  • Module 8: Computer Vision and Machine Recognition
  • Module 9: Recommendation Engine
Implementing AI in an Enterprise
  • Module 10: Integration AI at a Strategic Level
  • Module 11: Infrastructure for AI
  • Module 12: The Role of People
  • Module 13: Ethics in AI
Applications of AI in Finance
  • Module 14: Wealth and Asset Management
  • Module 15: Insurance
  • Module 16: Customer Service
  • Module 17: Robotic Process Automation
  • Module 18: Credit Scoring
  • Module 19: Compliance and Fraud Detection

Trainer's Profile

Dr Winnie Cheng

Dr.Winnie Cheng (New York)
Chief Data Scientist, Io-Tahoe.
Co-Founder, CTO & Chief Data Scientist, Flowcast.

Ramneek Gupta

Ramneek Gupta (San Francisco)
Co-head, Global Venture Investing Citi Ventures

Jean-Philippe Desbiolles (Paris)

Jean-Philippe Desbiolles (Paris)

Vice President, Cognitive Solutions & Global Partner, IBM Watson Group

Jon-Tzen Ng

Jon-Tzen Ng (Shanghai)
Chief Strategy & Innovation Officer, Ping An Technology

Dr. Jason Mars (Ann Arbor)

Dr. Jason Mars (Ann Arbor)
Co-Founder & CEO, Clinc.
Professor, University of Michigan.

Certification

The online course is composed of video lectures taught by the Senior Lecturers, readings that complement the topics addressed in the lectures, and video interviews from Industry experts to illustrate specific points raised by the lecturers. This course is self-paced and can be completed anytime before the end of the course duration.


Each of the 19 modules is ended by an Assessment Quiz to verify the understanding of the topic – a successful completion of the 19 quizzes leads to a Certificate of Completion of “Artificial Intelligence in Finance”. Each module also benefits from its online discussion forum, where participants can share, comment and exchange ideas on discussed topics.


The course duration is estimated to be between 10 – 12 hours.


Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:
  • There are no pre-requisite to take the course. However those who already have an understanding of Fintech would benefit more.
  • This course is for those who want to understand how AI is transforming finance, and be part of this new industry. Finance professionals, but also technologists, entrepreneurs, consultants or academics will benefit from the knowledge imparted by the course. As AI is permeating all sectors of finance, anybody in finance, or interested by the industry, could learn from the course.

Course Fees

Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website (www.skillsfuture.sg/credit) to choose from the courses available on the Training Exchange course directory.

Enhanced Training Support
For enhanced training support, enter SME in the promo code during course application.

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Applicants / Eligibility Fees
Full Course Fee$963.00
Singaporeans aged below 40 and Permanent Residents qualified for SkillsFuture Funding$288.90
Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy$108.90
Singaporeans and Permanent Residents qualified for Enhanced Training Support for SMEs$108.90