Smart Technologies and Business Intelligence – Enhancing Business Operations Through the Adoption of Smart Technologies
- Analytics & Tech
- Innovation & Business Improvement
3 days
Weekdays (9am - 5pm)
Who Should Attend
- Professionals from the supply chain and logistics sector who seek to learn about the latest technologies and how they can be used to improve supply chain processes and logistics operations efficiency
- Professionals who are responsible for automating business processes
- IT professionals and technology enthusiasts who wish to learn about the latest advancements in smart technologies and how they can be applied in business
- Professionals from data science and analytics fields who seek to learn about the latest Artificial Intelligence and Machine Learning techniques that can be used to analyse data and make predictions
- Professionals in management and business development who seek to learn about how smart technologies can be used to improve business operations and drive growth
- Entrepreneurs and start-up professionals seeking to learn about the latest technologies that can be used to improve their business operations and increase their competitiveness
PREREQUISITES
- Participants must possess at least 4 GCE 'O' level passes or equivalent
- Participants with relevant working experiences may be considered for entry on a case to case basis if they do not have the necessary qualification
Overview
The overall objective of this course is to equip participants with a broad based understanding of the application of smart technologies and its implication and impact on business intelligence.
Learning Objectives
At the end of the 3-day course, participants will be able to:
- Understand the basics of 3D printing and its applications in various industries
- Understand the concept of Robotic Process Automation (RPA) and its benefits for businesses
- Understand the concept of Low-Code and No-Code platforms and their role in automating processes
- Be able to build a simple RPA workflow using a Low-Code and No-Code platform
- Understand the basics of Artificial Intelligence and Machine Learning
- Understand the concept of Deep Learning and its applications
- Be able to build a simple Machine Learning model using Python and a popular library such as scikit-learn or TensorFlow
- Understand the impact of smart technologies on business
- Acquire hands-on experience working with 3D printing, RPA, Low-Code and No-Code platforms and Artificial Intelligence using Machine Learning and Deep Learning
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$981 (After SSG Funding 70%) |
$381 (After SSG Funding 70% |
$981 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$381 (After SSG Funding 70% |
$381 (After SSG Funding 70% |
$381 (After SSG Funding 70% |
|
International Participant |
$3,270 (No Funding) |
$3,270 (No Funding) |
$3,270 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
Dates: To Be Confirmed
*Online registration will close 5 calendar days before the course start date
