Date: 17 Jul 2023 | 9am-5.30pm | Classroom Learning
Duration: 1 Day
Course Overview
Robotics Process Automation (RPA) uses software “robots” to automate high-volume repetitive tasks that humans usually do. RPA can be used to deal with payroll or the paperwork for onboarding new employees, to automatically aggregate quarterly or annual reports, to keep track of product pricing, and for inventory control. By automating processes that are manual, repetitive and rule-based, RPA solutions can yield greater productivity and consistency, create efficiency, and reduce costs. Internal processes common in many sectors (such as banking, retail, tech and government) that can benefit from RPA include HR, IT services, supply chain, finance and accounting, and customer management. There are a number of great RPA software options; in this course we use Microsoft’s Power Automate Desktop.
This module is part of Professional Certificate in Artificial Intelligence for Business.
Course Objectives
This intensive one-day course will introduce participants to Robotics Process Automation 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.
At the end of the course, participants will be able to:
• Understand what 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
Facilitators
(Click their photos to view their short biographies)
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 the 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
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.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2022011443
TGS-2022011444 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Strategic Tech Mgt Institute (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older