Facebook-f Linkedin Instagram Youtube Tiktok
Search
Short Course

Intelligent Process Automation

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
13 Nov, 14 Nov 2024 | 9am-5.30pm2Classroom LearningTGS-2023038812

Course Overview

Intelligent Process Automation (IPA) is an emerging set of new technologies that combines robotic process automation, process intelligence and machine learning. It comprises a suite of business process improvements and next-generation tools that aim to eliminate repetitive, replicable, and routine tasks. IPA mimics activities carried out by humans and, over time, learns to do them even better. By leveraging on rules-based automation complemented by deep learning and cognitive technology, IPA aims to enhance worker efficiency, reduce operational risks, and improve customer experiences.

The programme builds upon previous training that participants have undergone in Robotic Process Automation (RPA), to look at how we might integrate Artificial Intelligence (AI), process intelligence capabilities, and Application Programming Interface (API) connectors to expand upon the capabilities of RPA.

Course Objectives

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

  • Utilise IPA natural language processing and computer vision capabilities.
  • Apply process and task mining to identify process and task inefficiencies, propose improvements and automate them.
  • Employ API connectors to enable automation across different software applications.

Who Should Attend

Professionals, Managers, Executives and Technicians (PMETs).

Prerequisites

Participants with prior experience in Robotics Process Automation.

Reserve Your Seat Now
Contact Us

Chat with us

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

    Facebook-f Linkedin Instagram Youtube Tiktok

    terms and conditions  

    course catalogue  

    Registration Guides  

    About us

    Programmes for individuals     

    Solutions for organisations  

    ONLINE LEARNING