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AI Vibe Coding for Computer Vision

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • 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
  • HRDF

9 Review(s) | Add Your Review

What's This Course About

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.

Course Fee

MYR1,100.00

Course Date

Additional Note

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

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

Sign up free Google Colab account

Hardware: Window or Mac Laptops

Job Roles

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

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (9)

Very useful course 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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 02/06/2026)
Learned a lot 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 course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 02/03/2026)
Knowledgeable 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
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 10/02/2026)
Engaging 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
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 25/06/2025)
Great practical training 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
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 28/01/2025)

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