Professional Certificate in
Fundamentals of Computer Vision

Dates:

Fundamentals of Computer Vision:
20 Nov, 21 Nov, 27 Nov, 30 Nov, 4 Dec, 5 Dec  2023 | 9am-5.30pm | Classroom Learning

Duration: 6 Days

Course Overview

This course provides a comprehensive introduction to Computer Vision, designed for anyone new to computer vision and looking to improve their knowledge and skills in this field. By the end of the course, participants will have a better understanding of Computer Vision concepts, be able to manage Computer Vision projects, interpret Computer Vision results, and understand the limitations of Computer Vision. Throughout the course, participants will use Python to explore and apply the concepts learned in the lectures. They will gain practical experience in image processing, object detection, segmentation, and other computer vision tasks using Python libraries and frameworks.

Course Objectives

This Professional Certificate will equip learners with the following competencies:

  • A conceptual understanding of Computer Vision
  • The ability to manage Computer Vision projects
  • The ability to interpret Computer Vision results
  • An understanding of the limitations of Computer Vision

Job Role Readiness

  • Computer Vision Engineers
  • Image Processing Engineers
  • Computer Vision Users

Programme Structure

Who Should Attend

  • Engineers who want to expand their skills in Computer Vision
  • Software developers interested in Computer Vision applications
  • Data scientist/analysts who want to explore Computer Vision techniques
  • Researchers who want to apply Computer Vision in their work
  • Professionals who want to build a career in Computer Vision
  • Anyone who wants to apply Computer Vision skills in their current job.

Prerequisites

  • Basic programming in Python 
  • Mathematics knowledge equivalent to ‘Additional Mathematics’ at O-level

Course Conveners

(Click their photos to view their short biographies)

ddddd Natarajan Prabhu

Dr Natarajan PrabhuDr Natarajan Prabhu

ccccc Terence Sim

Assoc Prof Terence SimAssoc Prof Terence Sim

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Code
Fundamentals of Computer Vision Course: TGS- 2021010306 (Classroom Learning)

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