Intermediate Computer Vision

Course DateRegistration Closing DateMode of TrainingCourse Status
15 to 16 Dec 202222 Nov 2022Facilitated Learning (F2F) & Practical TrainingOngoing

16 hours / 2 days

9:00am to 6:00pm

Mode of Training:
Facilitated Learning (F2F) & Practical Training

Singapore Polytechnic

Course Introduction

This course introduces image processing techniques in computer vision, application of machine learning in computer vision and advanced pre-trained neural network models for computer vision solution.

Course Objective

Participants will be equipped with necessary image processing techniques to pre-process data for building and deploying high accurate computer vision pipeline. They will also be equipped with machine-learning and deep learning skills to develop and train the models for complex and critical tasks such as healthcare image anomaly detection and wall crack detection.

Participants will also gain performance metrics knowledge to evaluate computer vision models’ accuracy, precision, recall, etc., fine-tune parameters and improve the system.

Course Outline

By the end of the course, participants will be able to: 

1. Apply computer vision techniques for feature extraction, image processing, anomaly image detection and classification applications.
2. Deploy AI project cycle to solve real-world problems such as access card detection, wall crack detection and pneumonia x-ray image classification.
3. Elaborate AI powered computer vision applications, future trend and challenges in the industry and society.

Topics to be covered

1. Basic Image Processing Techniques
2. Machine Learning for Computer Vision
3. Deep Learning for Computer Vision
4. Project and Test

Suitable for

AI Applied Researcher, AI/Machine Learning Engineer, AI/Data Scientist, Data Engineer, Precision Engineering Engineer, Quality Engineer, Process Engineer

Minimum Entry Requirements / Assumed Skills and Knowledge

Basic knowledge about Python programming

Award / Certification / Accreditation

• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the examination and meet at least 75% attendance rate

Full Fees (before GST): $670.00
GST payable for all funding-eligible applicants*: $14.07
GST payable for others: $46.90

Applicants/Eligibility SkillsFuture Funding Subsidised Fee (after GST)
Singapore Citizens aged 40 and above1 $603.00 $81.07
Singapore Citizens aged below 40 $469.00 $215.07
Singapore Permanent Residents and LTVP+ Holders $469.00 $215.07
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders2 $603.00 $81.07
Others (Full fees payable) $0.00 $716.90

*As per SSG’s policy, the GST payable is calculated based on 7% of the baseline funding subsidy of 70%

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

1Under 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.


Register Here

Eligible for SkillsFuture Credit
Terms and Conditions

*Please note that once the maximum class size is reached, the online registration will be closed. You may register your interest, and would be notified if there is a new run.

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
PACE Academy

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.