Graduate Certificate in Digital Finance Module 3: AI and Robotic Process Automation

Programme Code: CRS-N-0046705

Overview

This module is part of SMU-CPA Australia Finance Game Changer Series.

The module focuses on machine learning, deep learning and machine reasoning. At the end of the course, participants will learn:

  • practical examples of AI in accounting, tax and auditing services
  • understand the implication of AI to management accounting and auditing
  • learn how to harness the power of AI to transform accounting services
  • appreciate the Robotics Process Automation and its adoption in industries
  • understand shared finance services that can benefit from RPA
  • demonstrate understanding of the pre-requisites and factors for consideration and the various tools needed for AI and Robotics services.
Next Course Starts On21 May 2019 (Tue) See Full Schedule
Fee SGD1712.00* (as low as SGD193.60* after maximum funding) Learn more
Duration

2 days

Level
Basic
Venue

SMU

Learning Objectives
  • Explain how to harness the power of Artificial Intelligence (AI) to transform accountants’ services
  • Understand the range of shared finance services that can benefit from Robotics Process Automation (RPA)
  • Describe the pre-requisites and factors for consideration for RPA and AI implementation

Who Should Attend

Accountants and Financial Professionals

Assessment

Course assessment will be based on classroom exercises, case studies and project presentation. 

Fees and Funding

SkillsFuture Series 

Course fee grant at 70% of course fees (excluding GST) for participants who are successfully enrolled by SMU into approved courses under the Programme. Participants must be Singapore Citizens or Singapore Permanent Residents.

SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
Up to 90% of course fees for Singapore Citizens aged 40 years and above

Enhanced Training Support for SMEs ("ETSS")
Up to 90% of course fees for employees of SMEs who are Singapore Citizens or Permanent Residents

Workfare Training Support Scheme ("WTS")
Up to 95% of course fees for Singapore Citizens aged 35 years and above (13 years and above for persons with disabilities) earning a monthly income of not more than S$2,000.

SkillsFuture Credit
Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) to defray part of the course fee. Please click User Guide on how to submit your claim. SkillsFuture Credit claims may be submitted by logging in via MySkillsFuture.sg.

Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect.

Full Fee: S$1,712 per participant (including GST).

Nett fees payable per participant after SSG Funding:

  • S$513.60 (including GST) for Singapore Citizens and Singapore Permanent Residents
  • S$193.60 (including GST) for Singapore Citizens aged 40 years and above

Schedule

Start Date(s)
Intake Information
intake 116 - 17 October 2018 (Completed)
INTAKE 219 - 20 February 2019 (Completed)
INTAKE 321 - 22 May 2019 (Fully Subscribed)

Speaker/Trainer Bio

Joel Ko 
Founder, DeepBase AI

An Affiliate Faculty member of the SMU Academy, and an investor and serial entrepreneur, Joel's lifelong goal is to invest in and support 10,000 innovative individuals and companies around the world. The purpose is to bring sustainable and smart development to global communities, including via the use of artificial intelligence (AI). With speciality in PE/VC investments, he develops various businesses and accelerates portfolio companies with a focus on AI, FinTech, and Smart City innovations. Recently, leveraging his experience as the co-founder of the world’s largest FinTech hub LATTICE80, Joel is passionately committed to launching an AI hub called ‘DeepBase’ globally.

Joel has written widely on the topic of AI, FinTech, Blockchain, Innovation, and Entrepreneurship for publications including The Business Times, Yahoo, Tech In Asia and Singapore Business Review, and has volunteered actively as a mentor for startups. As an Affiliate Faculty at the Singapore Management University (SMU), he lectures on AI and FinTech. He is also a seasoned speaker at international conferences on those topics, and was selected as a LinkedIn Power Profile (Top 8) for Singapore in Finance in 2018. Joel holds an MBA from the National University of Singapore Business School.

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