Date: 22 Sep 2023 | 9am-5.30pm | Classroom Learning
Duration: 1 Day
Course Overview
Robotics Process Automation (RPA) is the technology that enables computer software to emulate and integrate actions typically performed by us (humans) interacting with digital systems (e.g. a computer). The software that executes these actions is termed a “robot”. Examples of tasks that RPA robots are able to automate include capturing data, running applications and communicating with other systems. By automating processes that are highly manual, repetitive and rules-based, RPA solutions can yield greater productivity, create efficiency and reduce costs. Common internal processes across industries (such as banking, retail, tech and the government) that can benefit from RPA include HR, IT services, supply chain, finance and accounting, and customer management.
The programme aims to introduce robotics process automation to participants, and impart basic proficiency in RPA tools so that they are able to design their own RPA bots to automate common work processes in their organisations, upon completion of the course.
This module is part of Professional Certificate in Emerging and Disruptive Technologies.
Learning Outcomes
At the end of the course, participants will be able to:
• Understand what is RPA and its benefits to business processes
• Design, build and deploy an RPA robot for automation using UiPath Studio
• Apply UiPath Studio to develop RPA solutions for simple work processes in one’s own organisation
Who Should Attend
Engineers, Managers, Executives
Prerequisites
Anyone who is interested in using UiPath to automate work processes.
Course Convener
(Click their photos to view their short biographies)
Dr Edmund Low
Dr Edmund Low
Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore.
He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
NTUC members enjoy 50% unfunded course fee support for up to S$250 each year (or up to S$500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Codes:
TGS-2020513883 (Classroom Learning)
TGS-2020503034 (Synchronous e-Learning)
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older
