Jump Start in Artificial Intelligence, Machine Learning and Deep Learning
- Analytics & Tech
- Artificial Intelligence
- Innovation & Business Improvement
This programme is conducted on campus.
2 days
9am - 6:15pm
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
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
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% |
$784.80 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
|
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.
Employer 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
Employers 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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