Certificate in Technology Foundations
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted on-campus.
Please refer to respective modules for dates.
Weeknights (7pm - 10:30pm)
Saturday (9am - 5:00pm)
Who Should Attend
- Data science enthusiasts
- Business Decision Makers/ Owners looking to understand how Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) work and gain practical experience
- Anyone with keen interest in exploring various types of new technologies
Overview
Learning Objectives
- Gain exposure to systems and tools to handle tabular data (Microsoft Excel, Google Sheets, SQL DBMS)
- Understand how Artificial Intelligence is programmed to imitate human intelligence and think like a human
- Understand the concepts of Immersive Media and the Extended Realities (VR/ AR/ MR)
- Understand what “digital making” is, and how it applies to modern prototyping with electronics
- Understand what is a blockchain, how and why it works
- Understand the classification of cloud computing products into categories Infrastructure-as-a-Service (IaaS), Platform-as-a-service (PaaS) and Software-as-aService (SaaS)
Topic/Structure
To achieve the Certificate in Technology Foundations, participants will need to complete the following modules offered by SMU Academy:
Jump Start in Artificial Intelligence, Machine Learning and Deep Learning
Establishing Foundation in Cloud Services and Applications
Unearthing the Potential of Databases, Big Data and Data Analytics
Beyond Imagination in Extended Reality (VR/ AR/ MR)
Harnessing the Power of Internet of Things and Creative Digital Making
Unleash the Potential of Blockchain Technology
Assessment
- Individual assessments
- Group assignments
CERTIFICATION
Upon completion of all 6 modules within a maximum duration of 3 years, participants will be awarded a digital Certificate in Technology Foundations.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$3,139.20 (After SSG Funding 70%) |
$1,219.20 (After SSG Funding 70% |
$3,139.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
|
International Participant |
$10,464 (No Funding) |
$10,464 (No Funding) |
$10,464 (No Funding) |
All prices include 9% GST
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 will be able to enjoy ETSS funding only if the company's SME's status has been approved. 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
| MODULES | INTAKE 6 | INTAKE 7 |
|---|---|---|
| Unearthing the Potential of Databases, Big Data and Data Analytics | 14, 15 & 16 Sep 2023 [Registration Closed] | To be advised |
| Jump Start in Artificial Intelligence, Machine Learning and Deep LearningJ | 7, 8 & 9 Sep 2023 [Registration Closed] | To be advised |
| Beyond Imagination in Extended Reality (VR/ AR/ MR) | 3, 4 & 5 Aug 2023 [Registration Closed] | To be advised |
| Harnessing the Power of Internet of Things and Creative Digital Making | 5, 6 & 7 Oct 2023 [Registration Closed] | To be advised |
| Unleash the Potential of Blockchain Technology | 12, 13 & 14 Oct 2023 [Registration Closed] | To be advised |
| Establishing Foundation in Cloud Services and Applications | 6, 7 & 8 Jul 2023 [Registration Closed] | To be advised |
Trainers
