course-banner-img ICT-9

Introduction to AI and Machine Learning

Topic:ICT, Media & Design

Course Type:Short & Modular Courses

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  • Course Date:

    03 Nov 2023 to 03 Nov 2023
  • Registration Period:

    05 Sep 2023 to 15 Oct 2023
  • Time:

    09:00 AM to 05:00 PM,
    7 hours / 1 day
  • Mode of Training:

  • Venue:

    Singapore Polytechnic
  • Funding:

    Eligible for SkillsFuture Credit

There has been renewed interest learning in artificial intelligence (AI) and machine learning in recent years. This is fuelled by the recognition that data generated contains a wealth of information that could be distilled from it. This course helps to provide and introduction to the fundamentals of AI and machine learning and how it could impact your work. The course also imparts practical skills on how to apply machine learning without requiring coding.

Course Objective

This course aims to introduce artificial intelligence (AI) and machine learning (ML). The course focuses on learning how to apply AI and ML to solve real-life problems. Through practical sessions, participants will experience the setting up and use of a simple machine learning tools that do not require coding.

Course Outline

• Introduction to Artificial Intelligence and Machine Learning
• Use cases for Artificial and Machine Learning
• Online/cloud-based machine learning tools
• Supervised learning applications
• Unsupervised learning applications

Minimum Requirements

Familiarity with IT tools such as Microsoft Excel and Google Sheets. Participants are required to bring a laptop for this course.

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

Suitable for

The course will be useful to those who wish to experience setting up a simple AI and machine learning system to solve real-life problems.
Participants will online/cloud-based machine learning tools to train models and finally retrieve results from the machine learning models.

Course Fees

Full Fees (before GST): $320.00

Applicants/Eligibility SkillsFuture Funding GST* Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹ $288.00 $7.68 $39.68
Singapore Citizens aged below 40 $224.00 $7.68 $103.68
Singapore Permanent Residents and LTVP+ Holders $224.00 $7.68 $103.68
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders² $288.00 $7.68 $39.68
Others (Full fees payable) $0.00 $25.60 $345.60

*As announced at Budget 2022, there will be no increase in government fees and charges for Singaporeans from 1 Jan 2023 to 31 Dec 2023. Also, as per SSG’s policy, the GST payable for all funding-eligible applicants is calculated based on prevailing GST rate after baseline funding subsidy of 70%

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.

¹ Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here
² Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP’s list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.

Funding Incentives

Please click here for more information on funding incentives.

Application Procedure

1. All applications must be made via Online Registration at
Course fees can be paid by the following payment modes:

a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.

b) For NETS payment, you can pay at:
Singapore Polytechnic
One-Stop Service Centre

c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number. 

*With effect from 1 August 2021, cheque payment will not be available.

2. All successful applicants will be notified with a letter of confirmation via email.

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