Key Takeaways
Upon completion of the course, students will be able to:
- Have a practical insights of the key concepts of Robotic Process Automation (RPA) and Intelligent Process Automation (IPA)
- Establish the right strategy for RPA / IPA implementation through the effective use of the process redesign, routine tasks and workflow automation and decision making via Machine Learning technologies.
- Analyse the practical use cases for RPA and how it can further be improved via IPA
- Select the right RPA / IPA engine, vendors (if appropriate) and implementation strategy for the organisation
- Evaluate the challenges and people’s resistance in an RPA / IPA implementation and design a programme to overcome these challenges
Who Should Attend
The target audience for this course include:
- Digital Leaders who need to establish RPA / IPA strategy and develop RPA / IPA business cases for their organisation; and
- Digital and / or Infocomm Technology (ICT) Professionals in Organisations that will benefit from leveraging RPA / IPA in Customer Experience and Productivity Improvement
Prerequisite:
There are no prerequisite to this course. Anyone can attend. No IT or programming knowledge required for this 2-day course.
What to Bring
No printed course materials will be issued.
Bring Your Own Laptop – Participants are required to bring your own internet-enabled laptop with these recommended configuration; Intel Core i5 (sixth generation or newer) or equivalent, Microsoft Windows 10 Professional, 8GB (or higher) RAM. The recommended web browser is Google Chrome to access courseware on the ISS learning management system.
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Minimum
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Recommended
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Computer and processor
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Intel Core i5 or equivalent
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Intel Core i7 or equivalent
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Memory
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8 GB RAM
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16 GB RAM
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Hard Disk
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500 GB disk size
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Display
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1280 x 768 screen resolution
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Graphics
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Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).
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DirectX 10 graphics card for graphics hardware acceleration
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Others
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An internet connection – broadband wired or wireless
Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth
A webcam or HD webcam - built-in or USB plug-in
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What Will Be Covered
This course will cover :
1. RPA / IPA Strategy
Setting the vision, roadmap and strategy for Robotic Process Automation (RPA) and Intelligent Process Automation (IPA)
Identifying RPA candidates and that can further improved with IPA
Writing a compelling business case for RPA/IPA
2. RPA / IPA Deployment and Management
RPA / IPA Implementation Framework
Common tools for RPA/IPA
Managing people impacts of automation / reskill people for new ways of work
Establish RPA/ IPA CoE
3. Use of Machine Learning in Process Automation
Augmenting RPA with Machine Learning (ML)
Business considerations in deploying IPA
Reskilling of people for new ways of work with ML
Fees & Subsidies
Fees for 2024
|
Full Fee |
Singaporeans & PRs
(self-sponsored) |
Full course fee |
S$1800 |
S$1800 |
ISS Subsidy |
- |
(S$180) |
Nett course fee |
S$1800 |
S$1620 |
9% GST on nett course fee |
S$162 |
S$145.80 |
Total nett course fee payable, including GST |
S$1962 |
S$1765.80 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.