Date:
20 Jul 2023 | 9am – 5.30pm | Online (Professional Certificate in Artificial Intelligence for Business)
Duration: 1 Day
Course Overview
Robotics Process Automation (RPA) is the technology that enables computer software to emulate and integrate actions typically performed by humans interacting with digital systems. These include computers. The software that executes these actions is known as 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 rule-based, RPA solutions can yield greater productivity, create efficiency and thereby reduce costs. Common internal processes across sectors such as banking, retail, technology and the government, which can benefit from RPA include HR, IT services, supply chain, finance and accounting, as well as customer management.
The course builds upon foundational training that participants have undergone in robotics process automation, to introduce more complex workflows, scripting and use of UiPath Orchestrator for scheduling tasks. Participants will follow up on their previously acquired basic proficiency in RPA tools to write their own RPA bots. These will allow them to automate more complex work processes in their organisations, once they have completed the course.
This module is part of Professional Certificate in Emerging and Disruptive Technologies and Professional Certificate in Artificial Intelligence for Business.
Learning Outcomes
At the end of the course, participants will be able to:
- Understand what RPA is and its benefits to business processes.
- Design, build and deploy an RPA robot using UiPath, for automating high volume work processes.
- Apply UiPath Orchestrator to schedule the execution of planned automation tasks.
Topics
- Review basic concepts of RPA and key features of UiPath Studio
- Using more complex workflows for automating processes in Excel, PDF, email
- UiPath Orchestrator
- Scripting with RPA
Who Should Attend
Engineers, Managers, Executives
Prerequisites
Anyone who has basic knowledge of RPA, and would like to learn more about it
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 for Professional Certificate in Emerging and Disruptive Technologies, click Register
To register for Professional Certificate in Artificial Intelligence for Business, click Register
Course Code:
TGS-2020504737 (Classroom Learning)
TGS-2021002741 (Synchronous e-learning)
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or olderYou may also like to view:
Catalogue of Programmes for Individuals
- Course Category
- Artificial Intelligence & Machine Learning
- Business Analytics & Data Science
- Cloud Computing & Internet of Things
- Cybersecurity & Data Governance
- Digital Business & Technopreneurship
- Digital Health & Nursing Informatics
- Digital Technology & Innovation Management
- Digital Transformation & Change Leadership
- Education Technology & Learning Design
- Emerging & Disruptive Technologies
- FinTech & Blockchain
- Interactive Media Development & Metaverse
- Software Programming & Networking
- UX/UI Design & Digital Product Management