Advanced Certificate in Artificial Intelligence in the Digital Economy Module 4: Computer Vision and Image Recognition Technologies

Analytics & Tech
Innovation & Business Improvement

Next Intake: 27 Oct 2025 (Mon)

Basic
SkillsFuture
Short Courses
This module is part of Advanced Certificate in Artificial Intelligence in the Digital Economy

This module is conducted in-person.

Next course starts on

27 Oct 2025 (Mon) See Full Schedule

Fee

SGD2,180* (as low as SGD254 after maximum funding) Learn More

Duration

2 Full Days (Weekdays)

Level

Basic

Who Should Attend

Professionals in various fields like computer science, engineering, data analysis, artificial intelligence, software development, digital marketing, and product management involved in developing or implementing AI-based solutions.

PREREQUISITES

There are no prerequisites for this programme. Prior knowledge on any of the topics is not required

Overview

This module provides an in-depth exploration of computer vision and image recognition technologies within the context of artificial intelligence. Participants will gain a comprehensive understanding of the underlying principles, algorithms, and applications of computer vision, including object detection, image classification, and semantic segmentation. The module also covers advanced topics such as deep learning architectures for visual recognition, convolutional neural networks (CNNs), and transfer learning techniques. Practical hands-on exercises using popular frameworks like TensorFlow or PyTorch will enable participants to develop skills in implementing computer vision solutions for real-world problems. Additionally, ethical considerations related to the use of computer vision technology will be discussed to ensure that participants are equipped with a holistic perspective on its societal impact.

Learning Objectives

At the end of the 2-day module, participants will be able to:

Understand the fundamental principles and techniques of computer vision and image recognition technologies, including feature extraction, object detection, and image classification
Develop proficiency in using popular computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch to implement image processing algorithms and build deep learning models for image recognition
Analyse real-world applications of computer vision in various industries such as healthcare, automotive, retail, and security to identify opportunities for leveraging these technologies in digital economy solutions
Evaluate the ethical considerations related to the use of computer vision technologies in the digital economy, including privacy concerns, bias mitigation strategies, and responsible deployment practices
Demonstrate practical skills by completing hands-on projects that involve designing and implementing computer vision solutions for specific business challenges within the context of the digital economy

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

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

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

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

$254

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

$254

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

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(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