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Short Course

Advanced Robotic Process Automation

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
6 Nov, 7 Nov 2024 | 9am-5.30pm2Classroom LearningTGS-2023038811

Course Overview

Robotic 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 rule-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 builds upon foundational and intermediate training that participants have undergone in robotic process automation, to cover advanced aspects of RPA such as configuration of Orchestrator, optimising complex workflows, and RPA integration with AI and scripting. Participants will follow up on their previously acquired proficiency in RPA tools to plan, write and optimise their own RPA bots to automate work processes in their organisations, upon completion of the course.

Course Objectives

At the end of the course, participants will be able to:

  • Understand what is RPA and its benefits to business processes
  • Apply UiPath Orchestrator to automate secure access to applications, and for remote, event-based scheduling
  • Manage errors in workflows
  • Make use of AI and Python scripts in workflows

Prerequisites

Anyone who has basic knowledge of RPA, and would like to learn more about it.

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This programme is part of

  • Professional Certificate in Robotic Process Automation

    • Types of Available Fundings

  • SkillsFuture Credit
  • PSEA
  • Enhanced Training Support
  • SFEC

    • Instructors


    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.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Programme Fee S$2,100.00 S$2,100.00 S$2,100.00 S$2,100.00 S$2,100.00
    Less: SSG Grant Amount S$1,470.00 S$1,470.00 S$1,470.00 S$1,470.00 -
    Nett Programme Fee S$630.00 S$630.00 S$630.00 S$630.00 S$2,100.00
    9% GST on Nett Programme Fee S$56.70 S$56.70 S$56.70 S$56.70 S$189.00
    Total Nett Programme Fee Payable, Including GST S$686.70 S$686.70 S$686.70 S$686.70 S$2,289.00
    Less Additional Funding - S$420.00 - S$420.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$686.70 S$266.70 S$686.70 S$266.70 S$2,289.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. GST shall apply at prevailing rates.
    3. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    4. Singaporeans and Singapore PRs are eligible for up to 90% SkillsFuture Singapore (SSG) funding, subject to SSG funding guidelines.

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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