Certificate in Technology Foundations: Jump Start in Artificial Intelligence, Machine Learning and Deep Learning
- Analytics & Tech
- Artificial Intelligence
- Innovation & Business Improvement
This programme is conducted on campus.
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 5pm)
Who Should Attend
- Business Decision Makers/ Owners looking to understand how AI, ML and DL work and gain practical experience
- Data Science enthusiasts interested in how AI, ML and DL applications are built and deployed on the AWS platform
- Developers looking to understand Cloud Computing and APIs available for developing and deploying smart applications and infrastructures on the AWS Cloud
Overview
Venture into these fields through theory, live demonstrations and lab sessions, to gain practical understanding of how these technologies are applied to improve business processes and create intelligent applications.
Learning Objectives
- Understand how Artificial Intelligence is programmed to imitate human intelligence and think like a human
- Understand how Deep learning algorithms are trained by observing the process of training a neural network algorithm
- Be familiar with Machine Learning and Deep Learning through demos of sample web applications and in-class labs and exercises with the AI services available on the Amazon Web Services (AWS) cloud
Topic/Structure
- Introduction to Machine Learning: How machine intelligence can be trained from data and algorithms
- Machine Learning algorithms through the process of training a Decision Tree algorithm in a class demonstration
- Introduction to Deep Learning: The Neural Network and performing AI tasks
Assessment
- Classroom exercises
- Individual assessment
CERTIFICATION
Upon meeting the attendance and assessment criteria, participants will be awarded a digital certificate for participating in each module. Please refer to our course policies to view the attendance and assessment criteria.
Upon completion of all modules required for this programme within a maximum duration of 3 years, participants will be awarded a digital certificate.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$523.20 (After SSG Funding 70%) |
$203.20 (After SSG Funding 70% |
$523.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
|
International Participant |
$1,744 (No Funding) |
$1,744 (No Funding) |
$1,744 (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
Next Intake: To be advised
