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Jump Start in Artificial Intelligence, Machine Learning and Deep Learning

  • Analytics & Tech
  • Artificial Intelligence
  • Innovation & Business Improvement
Next Intake: 11 Sep 2025 (Thu)
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Certificate in Technology Foundations

This programme is conducted on campus.

Next course starts on
11 Sep 2025 (Thu) See Full Schedule
Fee
SGD2,616* (as low as SGD304.80 after maximum funding) Learn More
Duration

3 days
Weeknights (6.30pm - 10.45pm)
Saturday (9am - 6.15pm)

Level
Basic
Venue

Singapore Management University

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

Unlock the transformative potential of Artificial Intelligence (AI) with this hands-on course designed specifically for non-technical professionals and business executives. Gain a foundational understanding of AI, Machine Learning (ML), and Deep Learning (DL) concepts, and learn how these technologies can be applied to industries like finance, healthcare, education, and consulting to create efficiencies, drive innovation, and unlock value.

Participants will explore core AI techniques like Machine Learning, Deep Learning, Generative AI (Gen AI) and Reinforcement Learning; experiencing first-hand the power of AI models through engaging case studies and real-world anecdotes. They will also be exposed to the most recent developments in AI through hands-on activities with Large Language Model (LLMs) and learn about their use cases in industry. Using no-code AI platforms from providers like Google Cloud, Amazon Web Services (AWS), and BigML, learners will participate in practical activities to apply these techniques to solve industry-specific problems. Live demonstrations and hands-on labs will bring key concepts to life, while interactive visualisations will demystify how AI algorithms operate. 

This course requires no prior programming experience and aims to empower professionals with the knowledge and tools to make informed decisions about AI adoption and its applications in their organisations.

Learning Objectives

  • Understand the capabilities and limitations of  Artificial Intelligence (AI) and Machine Learning technologies, including their applications in domains like healthcare, finance, public policy and education
  • Communicate AI and Machine Learning insights effectively to support decision-making in non-technical and business contexts
  • Develop a conceptual understanding of Data Science, Artificial Intelligence (AI), and Machine Learning
  • Learn key AI and Machine Learning techniques like clustering, regression, classification, and reinforcement learning through a practical, case-based approach

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

  • 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 information 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+

$784.80

(After SSG Funding 70%)

$304.80

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

$784.80

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$304.80

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

$304.80

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

$304.80

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

International Participant

$2,616

(No Funding)

$2,616

(No Funding)

$2,616

(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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