Master computer vision to be ahead
of the competition today!
Senior Executives Certification in Artificial Intelligence imparts high level knowledge on AI, challenges and limitations, the essentials for strategic decision making. The course covers economics of AI, AI data strategy, industry use cases in practice etc.,
Duration
5 days / 40 hours
Level
Beginner to Intermediate
Delivery
100% Online - Instructor Led
Request For Information
Key Features
- 40 hours of instructor led training
- Fully Online
- Class recording available
- Interactive Learning
- Additional Coaching Session
- 100% HRDF SBL-KHAS Claimable!
Pre-Requisites
- Certified Deep learning Expert Course (CDLE) or Demonstrable competence at CDLE level
- Recommended advanced knowledge in :
a. Mathematics: Calculus, Statistics, Linear Algebra, Probability
b. Machine Learning - Training: Though formal training is not mandatory; it is recommended to attend IABAC® registered course through Registered Education Partners
Who Should Join
- Professionals pursuing a career in Computer Vision
- Beginners and students with good Machine Learning knowledge aspiring a career in Computer Vision
Key Learning Outcomes
Upon completion, participants should be able to demonstrate each of the following outcome:-
- Gain knowledge in Image Representation And Analysis
- Understand Image Segmentation
- Display proficiency in Advanced CNN Architectures
- Be able to perform object motion and tracking
IABAC Exam Information
Materials Permitted
- The examination is an ‘open book’
- Candidates can refer to any material
Exam duration & format
- Exam format is through a Project Submission
- The assessment duration is 8 hours
- The project is graded for three areas: Project Summary with recommendations, Machine Learning model performance and Exploratory Data Analysis
Exam mode
- Project needs to be submitted at IABAC project submit page, as per exam guidelines
- Any copied work, ideas, concepts or a piece of text needs to be marked with reference as per IABAC project plagiarism guidelines
Pass criteria
- The candidate needs to score assessment grade A+, A, B+, B, C+, C as a PASS Criteria
- The candidate will be awarded grade F in case of failing to meet the pass criteria
- The results will be declared after validation with the project guidelines
Results timeline
- The preliminary results are usually released within 9 days of the exam date
- The official results are usually released within 15 days from the exam date
Certificate Issuance
- IABAC® e-certificate will be issued through the candidate’s registered email
- The e-certificate is digital verifiable at https://www.iabac.org/verify-certificate
- The candidate has license to share digital certificate validation in professional networking portals such as www.linkedin.com
- The candidate has a license to print physical copy (hardcopy) of the certificate
Course Modules Covered in the Certified Computer Vision Expert program
Module 1 - Introduction To Computer Vision
Introduction To Computer Vision
- Learn where computer vision techniques are used in industry
- Prepare for the course ahead with a detailed topic overview
- Start programming your own applications
Module 2 - Image Representation And Analysis
Image Representation And Analysis
- See how images are represented numerically
- Implement Image Processing techniques like colour and Geometric Transforms
Module 3 - Convolutional Neural Network
Convolutional Neural Network
- Learn about the layers of a Deep Convolutional Neural Network
- Convolutional, Max Pooling, and Fully Connected Layers
- Build a CNN-based Image Classifier in PyTorch
- Learn about Layer Activation and Feature Visualization techniques
Module 4 - Features And Object Recognition
Features And Object Recognition
- Learn why distinguishing features are important in pattern and object recognition tasks
- Write code to extract information about an object’s colour and shape
- Use features to identify areas on a face and to recognize the shape of a car or pedestrian on a road
Module 5 - Image Segmentation
Image Segmentation
- Implement K-Means Clustering to break an image up into parts
- Find the contours and edges of multiple objects in an image
- Learn about background subtraction for video
Module 6 - Project : Automatic Image Captioning
Project : Automatic Image Captioning
- Combine CNN and RNN knowledge to build a deep learning model that produces captions given an input image.
Image captioning requires that you create a complex deep learning model with two components: a CNN that transforms an input image into a set of features, and an RNN that turns those features into rich, descriptive language.
In this project, you will implement these cutting-edge deep learning architectures.
Module 7 - Advanced CNN Architectures
Advanced CNN Architectures
- Learn about advance CNN architectures
- See how region-based CNN’s, like Faster R-CNN, have allowed for fast, localized object recognition in images
- Work with a YOLO/single shot object detection system
Module 8 - Recurrent Neural Networks
Recurrent Neural Networks
- Learn how Recurrent Neural Networks learn from ordered sequences of data
- Implement an RNN for sequential text generation
- Explore how memory can be incorporated into a Deep Learning model
- Understand where RNN’s are used in deep learning applications
Module 9 - Attention Mechanisms
Attention Mechanisms
- Learn how attention allows models to focus on a specific piece of input data
- Understand where attention is useful in Natural Language and Computer Vision applications
Module 10 - Image Captioning
Image Captioning
- Learn how to combine CNNs and RNNs to build a complex captioning model
- Implement an LSTM for caption generation
- Train a model to predict captions and understand a visual scene
Module 11 - Project: Landmark Detection And Tracking
Project: Landmark Detection And Tracking
- Use feature detection and key point descriptors to build a map of the environment with SLAM (Simultaneous Localization and Mapping). Implement a robust method for tracking an object over time, using elements of Probability, Motion Models, and Linear Algebra. This project tests your knowledge of localization techniques that are widely used in autonomous vehicle navigation
Module 12 - Object Motion and Tracking
Object Motion and Tracking
- Learn how to programmatically track a single point over time
- Understand motion models that define object movement over time
- Learn how to analyse videos as sequences of individual image frames
Module 13 - Optical Flow And Feature Matching
Optical Flow And Feature Matching
- Implement a method for tracking a set of unique features over time
- Learn how to match features from one image frame to another
- Track a moving car using optical flow
Our Training Methodology
Practical Assignments
We provide hands-on assignments that requires practical implementation.
Virtual Coaching Sessions
Online coaching sessions that happen over the phone, via video, or on a web platform.
1 Year Access to LMS
Get access to learning resources upto 1 year of class completion.
Live Project Experience
Hands-on learning and training gives participants the opportunity to experience real world situations.
Online Assessments
Participants can assess reflect on their own learning and their level/skills.
Free Industry Webinars
Stay current on market research trends, learn best practices through our webinar sessions.
Program Key Highlights
40 hours of Remote Online Learning
Additional Coaching Hours
Live Hands-on Projects
Certified by International Body
Mentorship with Industry Experts
Designed for Beginners & Professionals
Request For Information
Program Benefits
International Credential
IABAC® is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.
Global Opportunities
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
Specialization
IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.
Relevant and updated
IABAC® CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.
Higher Salaries
On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.
Summits & Webinars
In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.
Get Professionally Certified
Upon successfully completing this program, participants will be awarded the Certified Computer Vision Expert Certification by International Association of Business Analytics Certification (IABAC).
This award is a validation to the efforts taken to master the domain expertise that will set you apart from your competition.
Be a part of the global network of data science professionals and join the community across sectors.
Get in Touch With Us Today!
This training program is suitable for anyone who intends to enter into the field of Artificial Intelligence. This program is being conducted in Malaysia and can be joined by anyone, anywhere in the world remotely.
Program Fee
Funding price MYR 3700 per pax .
Funding Schemes for Companies who are claiming from their HRDF levy or from the MDEC MyWiT scheme.
Limited scholarships available for early self applying individual applicants.
Find out how you can qualify for a scholarship.
Enquire NOW on the various funding options available.
Limited scholarships available for early self applying individual applicants.
Find out how you can qualify for a scholarship.
Enquire NOW on the various funding options available.
One-time fee. One year access to course materials and resources.
Thulija Academy is a HRDF registered training provider. Our panel of expert trainers provide technology training for some of the biggest organizations in Asia.
READY TO KICKSTART YOUR CAREER?
Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at info@thulija.com or +60123661502
Contact us on Whatsapp for more enquiries