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Certificate in Technology Foundations: Jump Start in Artificial Intelligence, Machine Learning and Deep Learning

  • Analytics & Tech
  • Artificial Intelligence
  • Innovation & Business Improvement
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Certificate in Technology Foundations

This programme is conducted on campus.

Next course starts on
To be advised
Fee
SGD1,744* (as low as SGD203.20 after maximum funding) Learn More
Duration

3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 5pm)

Level
Basic

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

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.

 

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

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

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%
+ ETSS Funding 20%)

$523.20

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$203.20

(After SSG Funding 70%
+ MCES Funding 20%)

$203.20

(After SSG Funding 70%
+ ETSS Funding 20%)

$203.20

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$1,744

(No Funding)

$1,744

(No Funding)

$1,744

(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)

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Trainers

Ian Choo
Founder
SG Code Campus
Ian Choo
Founder
SG Code Campus
Ian, with a Master's in Management Science & Engineering from Stanford and a Bachelor's in Applied Mathematics & Economics from UC Berkeley, delved into Computational Engineering and Machine Learning during his Stanford studies. As a quant risk manager at Barclays Investment Bank, he refined his skills in data analysis, risk engine programming, and financial modeling in Python, R, VB.NET, and FORTRAN. Founding SG Code Campus, Ian designs and teaches curricula in Web & Mobile Programming, Cloud Computing, Data Science, and Machine Learning for diverse audiences, including kids, youths, Polytechnic and University students, and professionals. He continuously enhances teaching methods to engage learners effectively across different age groups and backgrounds.
Lui Huiliang
Chief Product Officer
SG Code Campus
Lui Huiliang
Chief Product Officer
SG Code Campus
With an engineering scholarship at the Defence Science and Technology Agency (DSTA) under his belt, Huiliang now dedicates his expertise to the field of technology education. As an AWS Authorised Instructor, he leverages Python and state-of-the-art data analytics tools to transform complex datasets into actionable insights. But Huiliang isn't just about numbers. His infectious enthusiasm for math, science, and engineering fuels a passion for programming in his students. He firmly believes that interest is the spark of aptitude, and he embodies this philosophy by showcasing the fascinating real-world applications of computer science. With Huiliang, you aren't just learning - you're exploring the world of tech through the lens of AWS.
Sun Chang
Senior Data Scientist
Grab
Sun Chang
Senior Data Scientist
Grab
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 Visualisation, 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.

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