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Short Course

Robotic Process Automation Begins with Me (Power Automate Desktop)

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
To be advised1Classroom LearningTGS-2025057682
To be advised1Synchronous e-LearningTGS-2025057683

Course Overview

This intensive one-day course will introduce participants to Robotics Process Automation (RPA) using Power Automate Desktop, and enable them to gain basic proficiency with RPA tools. Upon completion of the course, participants will be able to write their own RPA bots to automate common work processes.

Course Objectives

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

  • Understand what Robotics Process Automation (RPA) is, and how it can improve business processes
  • Design, build and deploy an RPA robot, using Power Automate Desktop
  • Develop RPA solutions for simple work processes (using Power Automate Desktop)
  • Identify areas within their own business or organisation that could benefit from RPA

Prerequisites

  • Basic proficiency in Excel

Technical Requirements

  • Windows laptop
  • Laptop to have freedom from firewall restrictions
  • No tablet
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This programme is part of

  • Professional Certificate in Artificial Intelligence for Business

    • Funding Available

  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

    Course Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Course Fee S$850.00 S$850.00 S$850.00 S$850.00 S$850.00
    9% GST on Full Course Fee S$76.50 S$76.50 S$76.50 S$76.50 S$76.50
    SSG Funding S$425.00 S$425.00 S$425.00 S$425.00 -
    Additional Funding if Eligible under Various Schemes - S$170.00 - S$170.00 -
    Total Nett Course Fee Payable, including GST S$501.50 S$331.50 S$501.50 S$331.50 S$926.50
    1. Total nett course fee payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.