Certificate in Technology Foundations: Jump Start in Artificial Intelligence, Machine Learning and Deep Learning
Overview
Some solutions are not about looking far but looking deep into what's in front of us. Delve into the depths of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) as these powerful tools not only reveal insights beneficial to businesses, but help discover opportunities, create efficiencies and value.
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.
| Next Course Starts On | 07 Sep 2023 (Thu) |
| Fees | SGD1728.00* (as low as SGD198.40* after maximum funding) |
| Duration | 3 days Weeknights (7pm - 10:30pm) Saturday (9am - 5:00pm) |
| Venue | On-campus |
| Level | Basic |
Learning Objectives
Topics
Who Should Attend
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.
Learning Activities
- Theory
- Live demonstrations
- Lab sessions
Fees And Funding
| Participant Profile | Self-Sponsored | SME (Company Sponsored) | Non-SME (Company Sponsored) |
| Singapore Citizen < 40 years old Permanent Resident LTVP+ | $518.40 (After SSG Funding 70%) | $198.40 (After SSG Funding 70% + ETSS Funding 20%) | $518.40 (After SSG Funding 70%) |
| Singapore Citizen ≥ 40 years old | $198.40 (After SSG Funding 70% + MCES Funding 20%) | $198.40 (After SSG Funding 70% + MCES Funding 20%) | $198.40 (After SSG Funding 70% + MCES Funding 20%) |
| International Participant | $1,728 (No Funding) | $1,728 (No Funding) | $1,728 (No Funding) |
All prices include 8% 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
This is only applicable to self-sponsored participants. Applications via MySkillsFuture.sg must be made within 60 days before course commencement.
SMU Academy has to be informed on the Claim ID no. and claim amount in order for the correct payable course fee amount to be reflected on the invoice. Please click herefor more details on SkillsFuture Credit.
With effect from 1 July 2020, applicants who wish to apply for the WTS Scheme may refer to the WSS Scheme instead. Please click here for more details.
Company Sponsored
- 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
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Schedule
Start Date(s)
07 Sep 2023 (Thu)
Intake Information
| Intakes | Dates |
| Intake 5 | 2, 3 & 4 Mar 2023 [Fully Subscribed] |
| Intake 6 | 7, 8 & 9 Sep 2023 [Open for Registration] |
Policies
Speaker/Training Bio
Ian holds a Master of Science in Management Science & Engineering from Stanford University and a Bachelor of Arts in Applied Mathematics & Economics from the University of California, Berkeley. His love for computing began when he dived into the study of Computational Engineering and Machine Learning over three years as a graduate student at Stanford. After graduating, he took on a role as a quant risk manager at Barclays Investment Bank, where he got to further sharpen his craft data-munging reams of financial data, programming risk engines and coding up financial models in Python, R, VB.NET and the NAG numerical library (FORTRAN).
As founder of SG Code Campus, Ian has designed and taught curricula in Web and Mobile programming, Cloud Computing, Data Science and Machine Learning to a variety of audiences including kids, youths, Polytechnic, University students, as well as working professionals. He often spends his days working to improve his teaching and better engage learners through a different teaching approaches and course formats.
Sun Chang holds a PhD in Computational Engineering from Singapore-MIT Alliance at the National University of Singapore (NUS) and a Bachelor's degree in Applied Mathematics, where he was awarded First Class Honours by the NUS Faculty of Science.
A full-time Senior Data Scientist in Grab, Sun Chang deals extensively in the areas of Database management, Data Analytics, Data Visualization, Model Training, Big Data and Cloud Computing. He has also previously worked as a technical consultant providing AI solutions to hospitals and manufacturing industries. Sun Chang believes that the rare combination of his scholastic background, paired with a wealth of practical experience across a spectrum of diverse industries empowers him to provide his students with the ideal balance of theory and practicum in the classroom.