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AI Vibe Coding for Computer Vision

Sessions 1 day
Duration 7.5 hrs
Level Intermediate
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI Vibe Coding for Computer Vision

Course Code: C592

AI Vibe Coding Series

4 Review(s) | Add Your Review

Build computer vision applications with AI Vibe Coding for Computer Vision. This hands-on 1-day course teaches you how to use AI coding assistants such as Cursor, GitHub Copilot and Claude to write Python computer vision code with libraries like OpenCV. Instead of memorising APIs, you will vibe code — describing what you want in plain language and letting AI generate, explain, refactor and debug your vision code while you learn the fundamentals and stay in control of the logic.

Through practical exercises, participants will set up a Python computer vision environment, load and process images and video, detect edges, shapes, faces and objects, and build a small vision-powered application — all with an AI pair programmer at their side. You will also learn to review, test and improve AI-generated code so your applications are correct and reliable. By the end of the course, you will be able to build computer vision solutions faster and more confidently with an effective AI vibe-coding workflow.

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Computer Vision for Beginners

Course Fee

₦420,000.00 (GST-exclusive)

₦457,800.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Add On *

No
Raspberry Pi (4GB) + USB Camera +₦240,000.00

Course Date * Course Date

Course Time *

Sponsorship *

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

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Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1 Getting Started and Image Processing with AI Vibe Coding

Introduction to Computer Vision, OpenCV and Vibe Coding
Setting Up Python, OpenCV and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
Loading, Displaying and Transforming Images
Filtering, Edges and Contours with AI

Topic 2 Detection and Building Vision Apps with AI

Detecting Shapes, Faces and Objects
Working with Video Streams
Building a Computer Vision Application
Testing, Improving and Running Your Project

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Hardware: Window or Mac Laptops

Job Roles

Computer Vision Engineer
Machine Learning Engineer
Robotics Developer
Augmented Reality Developer
Video Analytics Specialist
Multimedia Developer
Image Processing Engineer
Visual Effects Artist
Software Developer (with a focus on visual applications)
Drone Technology Developer
Biometrics Systems Engineer
Autonomous Vehicle Systems Developer
Medical Imaging Specialist
CCTV and Surveillance Systems Designer
Game Developer.

Trainers

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

Solomon Soh is an experienced Data Scientist and AI Trainer with a strong record of teaching and mentoring in Python programming, data analytics, and machine learning. Currently a Data Science Trainer with IBM Singapore, he has coached teams on projects involving natural language processing, computer vision, and chatbots, achieving a 96% learner satisfaction rating for his communication and technical expertise. His career spans roles at Workforce Optimizer, Certis Cisco, Ernst & Young, and IQVIA, where he applied Python-driven analytics to improve operations, optimize staffing, and deliver actionable insights. His academic background includes a double degree in Economics and Psychology from Singapore Management University (Summa Cum Laude, triple major in Analytics), an MBA, and a Master’s in Financial Engineering.

Marcel Leng is an ICT professional and educator with strong expertise in machine learning, cryptography, and applied mathematics. He has conducted extensive research and training in AI, data science, and quantum algorithms, and has guided learners in applying advanced computational tools to real-world security challenges.

Review

Customer Reviews (4)

Excellent Course and Trainer Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Course materials and knowledge of trainer is very adequate.

Saw some reviews on initial set up taking half a day and splitting the no. of course days..
Personally feel 1.5 days will be the best duration but I do prefer to keep it to 1 day.

Most of my set up was done prior to the class, if you know you are attending a programming course and bringing your own laptop, the best way to prepare is to look for an IDE, download the latest patches, etc. before the actual course date.

Not professional to pin the blame on others if it is something we ourselves can prevent in the first place. However, it goes the same for the training provider, if the laptop is being provided, then it should be made ready-to-use.

Would recommend this course! The trainer could adapt and structure the learning according to what I shared I would be using it for, and after learning about my level of coding competency. (Posted on 8/22/2023)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 8/12/2020)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

The initial setup took almost half a day. (Posted on 2/25/2020)

Will Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Better split the course to two day.Is quite complicated programming course. Lucky you have a outstanding and professional Lecturer and I am attend alone. Else will be not enough time to complete the entire lesson

I don't mind course fee increase if can split it to two days. Can provide a basic camera module to participant to apply in the course.
(Posted on 8/27/2018)