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Short Course

Robotics Process Automation Begins with Me (Power Automate Desktop)

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
To be advised1Classroom LearningTGS-2022011443

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.

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This programme is part of

  • Professional Certificate in Artificial Intelligence for Business

    • Types of Available Fundings

  • SkillsFuture Credit
  • UTAP
  • PSEA
  • Enhanced Training Support
  • SFEC

    • 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.

    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$850.00 S$850.00 S$850.00 S$850.00 S$850.00
    Less: SSG Grant Amount S$595.00 S$595.00 S$595.00 S$595.00 -
    Nett Programme Fee S$255.00 S$255.00 S$255.00 S$255.00 S$850.00
    9% GST on Nett Programme Fee S$22.95 S$22.95 S$22.95 S$22.95 S$76.50
    Total Nett Programme Fee Payable, Including GST S$277.95 S$277.95 S$277.95 S$277.95 S$926.50
    Less Additional Funding - S$170.00 - S$170.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$277.95 S$107.95 S$277.95 S$107.95 S$926.50
    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.

    Other Information

    This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

    Connect with us

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

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