What Our Learners Say
Very relevant and collaborative training.
The instructor is very attentive to the participant's needs and answers all their queries.Casugol offers not only workshops,but a chance to get to know other people in the industry and allows you to build a network and belong to a digital community.It is a pleasure to be part of this community.
More power to Casugol Team!
The SDTL course was concise, well‑organized, and highly practical. The templates and frameworks were straightforward yet impressively precise, making the concepts easy to understand and apply in real-world situations. It was also very helpful in strengthening a leader’s perspective on Digital Transformation. Overall, the program delivered strong value and offered an excellent balance of clarity, depth, and practicality.
I wanted to expand my horizon and open myself to a new way of thinking about digital transformation. It certainly more than overdelivered
Enjoyed the class, insightful and pragmatic.
Thanks Dwayne for teaching us the CASUGOL Digital Transformation Framework. After the class, it makes me can't wait to start to many potential area of improvements in my company internally and externally on our Digital Transformation journey
Very exciting course to be joined by others in AI era.
Great training experience!
Thank you CASUGOL for coming all the way to Sabah, East Malaysia at Sabah Credit Corporation. Had amazing digital transformation training with CASUGOL!
great learning experience and learn more about digital transformation. Also great speaker
Attended CASUGOL's CDTP training and learned a lot about the Digital Transformation framework and core principles which can be applied on the job. Plenty of real-world examples and active discussion during the trainings.
I've enjoyed the whole 2-day training as Dwayne kept it light and fun while being an educator at the same time, it made my experience memorable and informative
Great way of sharing expertise and knowledge in small steps but big meaning change.
Casugol provides a better understanding on how to leverage well on Artificial Intelligence. I've a learned a lot on a 1-day session. Thank you!
It was really fun to follow the casugol training, the lessons were easy to understand
Terimakasih untuk pembelajarannya selama ini, semoga ilmu yang di berikan bermanfaat bagi semua org
During this training, I gained a lot of valuable experience, both in terms of knowledge, skills, and work attitudes. The material presented is very relevant to the needs of the world of work, and is presented in an interactive and easy-to-understand manner.
Saya sangat senang mengikuti materi pembelajaran seminar ini
so fun experience!
thanks to mr. Dwayne
The class was very enjoyable and the material was meaningful
Upcoming Batches
| Schedule |
Time (SGT / UTC +8) |
Sessions |
Date |
| Full-Time |
9:30am to 5:30pm
(Daily) |
5-Sessions |
4 to 8 Oct | 6 to 10 Dec | 7 to 11 Feb |
| Register Here
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Course Information
- Duration: 5 Day / 40 Hours
- Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
- Who Should Attend: Data Analyst, Finance Analyst, HR Analyst, System Analyst, CIO, or Anyone who are interested in pursuing a career in the areas of Artificial Intelligence
Course Objective
Acquire advanced artificial intelligence techniques by unleashing the power of computer vision and deep learning.
Learn the key components in Computer Vision, Neural Network, and Facial Recognition using Python Programming.
Pre-Requisite
It is preferred that participants successfully completed and pass Certified Machine Learning Expert (CMLE) or Python Programming Essentials (PPE)
Examination
Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Advanced Computer Vision Professional (ACVP) and Python Programming based on the syllabus covered
Module 1
Introduction to Computer Vision (CV)
Topics Covered
- What is Computer Vision
- Fundamentals on Python TensorFlow
- Edge Detection using Image Hashing and Filtering
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- Feature Extraction from an Image
- Using Contours and HOG Detectors to Detect Objects
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Module 2
Content Recognition Using Local Binary Pattern
Topics Covered
- Understanding What is Content Recognition
- Processing of Image using Local Binary Pattern
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- Local Binary Patterns for Texture Recognition
- Colour Matching Techniques using Local Binary Pattern
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Module 3
Facial Recognition Techniques
Topics Covered
- Introduction to Using OpenCV and Convolutional Neural Network (CNN)
- Using Deep Learning for Images
- CNN and its Parameters
- Optimization of CNN Parameters
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- Visualizing the Layers in Neural Network
- Predicting Facial Keypoint Using a Deep Neural Network
- Predicting Facial Expression Using a CNN
- Understanding 3D Facial Detection
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Module 4
Deep Dive Into Neural Networks Model
Topics Covered
- Understanding of Neural Network Architecture and Models
- R-CNN, Fast R-CNN, and Faster R-CNN
- Generative Adversarial Networks (GANs)
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- Graph Neural Networks (GNN)
- Reinforcement Learning
- Transfer Learning
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Module 5
Application to Transfer Learning
Topics Covered
- Using Transfer Learning for Visual Search
- Deep Learning Models with Python TensorFlow
- Developing a Transfer Learning Model using TensorFlow
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- Architecture and Application of Visual Search
- Visual Search Input using tf.data
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Module 6
You Only Look Once (YOLO) Technique
Topics Covered
- Introduction to Object Detection with YOLO
- Darknet for Object Detection
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- Real-Time Prediction
- Training Image Set to Develop Custom Model
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Module 7
Semantic Segmentation and Neural Style Transfer
Topics Covered
- Introduction to Semantic Segmentation and Neural Style Transfer
- Using Python TensorFlow DeepLab for Semantic Segmentation
- Deep Convolutional Generative Adversarial Network (DCGAN)
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- Image Inpainting with OpenCV
- What is Neural Style Transfer
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Module 8
Implementation of CV Using Python Tensor Flow
Topics Covered
- Action Recognition using Multitask Deep Learning
- OpenPose, stacked hourglass model, PoseNet
- SSD and R-FCN
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- TensorFlow Object Detection API
- TensorFlow on Google Cloud
- Training a Custom Object Detector using TensorFlow and Google Colab
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Advanced Computer Vision Professional (ACVP) involves rigorous usage of real-time case studies, hands-on exercises and group discussion
What Past Participants Say
The examples and cases shared in class are delivered in a clear, structured and easy to understand manner. It provide me with confidence to kickstart my own Machine Learning project.
Falhuddin Bin Nurdin
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This course provide me with the detailed information required and essential tips how to explore more into the subject. The trainer is very helpful throughout the course. With his encouragement, I can understand the topics with ease even when I am not experience in programming.
Shalini Karthik
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Why CASUGOL
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Customization of Programs for specific industry, organisation, government agencies, statutory boards.
Flexible programmes designed to cater to the individual needs of participants, whether for professional upskilling, or for general interest.
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Benefit from contribution from leading Industry Experts, Academics, and Researchers from across the world.
Opportunities for employers to develop their workforce and for individuals to enhance their career.
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Dynamic learning environment that providing participants with professional networking opportunity.
Online support for participants after the training. |
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