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Professional Certificate

Professional Certificate in Robotic Process Automation

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Robotics Process Automation Begins with Me30 Aug 2024 | 9am-5.30pm Classroom LearningTGS-2020513883
Intermediate Robotics Process Automation6 Sep 2024 | 9am - 5.30pm (PC in Robotic Process Automation)Classroom LearningTGS-2020504737
Advanced Robotic Process AutomationTo be advisedClassroom LearningTGS-2023038811
Intelligent Process Automation19 Jun, 20 Jun 2024 | 9am - 5.30pmClassroom LearningTGS-2023038812
Duration 6 days

Programme Overview

The Professional Certificate in Robotic Process Automation (RPA) programme equips participants with essential competencies to drive business efficiency through automation technologies. Participants will gain a comprehensive understanding of RPA concepts and advantages, alongside practical skills in designing, building, and deploying RPA robots using UiPath Studio. They will learn to efficiently schedule and execute automation tasks using UiPath Orchestrator, ensuring remote access and security protocols. Through error management techniques and integration of AI and Python scripts, participants will enhance automation capabilities. Additionally, the programme explores the utilisation of Intelligent Process Automation (IPA) technologies to incorporate natural language processing and computer vision capabilities. Participants will emerge adept at identifying process inefficiencies and proposing automation improvements across diverse software applications, making them valuable assets for organisations seeking to optimise their operations.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Understand the concept of RPA and its advantages in optimising business processes.
  • Design, build, and deploy RPA robots using UiPath Studio for automating work processes.
  • Apply UiPath Orchestrator for scheduling and executing automation tasks efficiently, including remote and secure access.
  • Manage workflow errors and integrate AI and Python scripts for enhanced automation capabilities.
  • Utilise IPA’s natural language processing and computer vision capabilities in workflow automation.
  • Employ process and task mining, API connectors, and propose improvements for identifying inefficiencies and automating across diverse software applications.

Job Role Readiness

It will prepare learners who deal with a lot of processes that are highly manual, repetitive, and rule-based, such as HR professionals, finance managers, administrators, and programmers, to perform their responsibilities more effectively.

Who Should Attend

This programme is designed for professionals and mid-career PMETs.

Prerequisites

  • Minimum Diploma
  • English Language proficiency
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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
S$1,962.00 S$762.00 S$1,962.00 S$762.00 S$6,540.00
  1. Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
  2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
  3. GST shall apply at prevailing rates.

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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