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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Advanced Computer Vision Training

Venture into the frontier of computer vision with our advanced training module at Tertiary Courses. We begin by delving into Image Classification powered by Deep Learning, ensuring participants gain a comprehensive grasp of these foundational concepts. This strong base is essential as we progress into more intricate topics like Object Detection, where we explore the robust capabilities of SSD and YOLO, two of the leading techniques in the domain.

The course then takes a deep dive into the realm of Semantic Segmentation, focusing on the prowess of SegNet. As image understanding becomes increasingly crucial in a myriad of applications, mastering these advanced techniques is paramount. Our curriculum, crafted by industry experts, ensures not just theoretical knowledge but practical proficiency, positioning you at the cutting edge of computer vision technology. Whether you're an enthusiast or a professional aiming for growth, our advanced training is tailored to elevate your skillset.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M647

Course Booking

MYR1,000.00

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free 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 asap.

Course 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.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Overview of Computer Vision with Deep Learning

  • Introduction to Computer Vision
  • Computer Vision Business Applications
  • Deep Learning Based Computer Vision

Topic 2 Basic Computer Vision Techniques

  • Setup Jetson Nano
  • Setup Camera
  • Video Capture with OpenCV

Topic 3 Image Classification

  • Introduction to Image Classification
  • Overview of Convolutional Neural Network (CNN)
  • Image Classification with Pre-Trained CNN Models
  • Code Your Own Image Recognition Program with Python

Topic 4 Object Detection and Segmentation

  • Introduction to Object Detection
  • Overview of Single Shot MultiBox Detector (SSD) Object Detection
  • Overview of YOLO Object Detection
  • Object Detection with DetectNet
  • Live Camera Object Detection
  • Code Your Own Object Detection Program with Python
  • Introduction of Semantic Segmentation
  • Overview of SegNet

Topic 5 Edge AI

  • Edge vs Cloud Computing
  • Demo of Edge AI with Transfer Learning

Course Info

Prerequisite:

Participants need to be acquainted with the following knowledge before attending the class

  • Python
  • Tensorflow
  • Keras

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

10-  Select a Training Provider, then click Next

11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

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15-  Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

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17-  Please select the Level of Certification and click Next

18-  Please follow the instructions and key in trainee details

19-  Click Add Batch, then click Save

20-  Click Add Trainee Details

21-  Please key in all the required details, then click Add

22-  Click Add if there are more participants. Once done, click Save

23-  Click Next

24-  Please key in the course fees and allowance details, then click Save

25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

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

Nouar AlDahoul: Nouar AlDahoul is a PhD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in the machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.

Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.

Customer Reviews (5)

will recommend Review by Course Participant/Trainee
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Face 2 Face (Posted on 07/12/2021)
will recommend Review by Course Participant/Trainee
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More examples (Posted on 07/12/2021)
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
Face 2 Face (Posted on 01/12/2021)
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
More examples (Posted on 01/12/2021)
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 06/07/2021)

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