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- Computer vision overview
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- AWS Computer Vision Getting Started with GluonCV
AWS Computer Vision: Getting Started with GluonCV
The AWS Computer Vision: Getting Started with GluonCV course provides an overview of the AWS frameworks, deep learning concepts and computer vision (CV) models.
Beginner
Online
6 Weeks
Free
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The online course in AWS Computer Vision: Getting Started with GluonCV by Coursera is spread out over six weeks, wherein a new module is picked up every week, to focus on computer vision’s various aspects with GluonCV. The programme starts by discussing the basic concepts of computer vision and progresses by providing an overview of machine learning, using the GluonCV toolkit and Apache MXNet to build and train CV models, discussing deep learning concepts, and artificial neural networks. In the last week, the candidates submit a final project where they apply their learnings and visualize the output.
The AWS Computer Vision: Getting Started with GluonCV online course is offered by Amazon Web Services on Coursera, and thus, comprehensively covers the various AWS services like Amazon SageMaker, AWS Deep Learning, Amazon Rekognition and many more. The curriculum provides content through pre-recorded videos, readings, practice quizzes, and flexible deadlines, to help candidates learn at their own pace.
Furthermore, the AWS Computer Vision: Getting Started with GluonCV online programme provides financial aid as well. It will equip the candidates with the knowledge on how to build a computer vision model, how to set up different services, their benefits and limitations.
The highlights
- Beginner level
- Industry-expert instructors
- 100% online
- Shareable e-certificate
- Financial aid
- Self-paced learning
- Approximate completion in 29 hours
- Subtitles in English, French, Russian, Spanish, and Portuguese (Brazilian)
- Included with Coursera Plus
Program offerings
- Self-paced learning
- Peer feedback
- Financial aid
- Coursera plus
- Flexible deadlines
- Graded assignments
- Practice quizzes
- Top instructors
Course and certificate fees
Type of course
The online course in AWS Computer Vision: Getting Started with GluonCV is available for free using the audit mode on Coursera. No fee payment is required. For getting the graded assignment and certificate you have to pay an amount of Rs. 2,152.
certificate availability
certificate providing authority
certificate fees
What you will learn
Upon successful completion of the AWS Computer Vision: Getting Started with GluonCV programme, candidates will have gained knowledge of the following:
- The benefits of Apache MXNet
- Selection of appropriate AWS services such as Amazon Sagemaker and Amazon Rekognition, as per the task
- What tasks can GluonCV solve
- How to set up GluonCV and MXNet
- MXNet’s easy-to-use, high-level API
- Fundamentals of GluonCV, constructing datasets in GluonCV, understanding when to use different Gluon blocks, combining those blocks into finished models
- How to combine several building blocks of neural networks to form complete computer vision models and training them efficiently
- Differences between deep learning containers and AWS deep learning AMIs
- Selecting the correct, pre-trained GluonCV models, applying them to datasets, and visualizing their outputs
Who it is for
Admission details
To enrol in the AWS Computer Vision: Getting Started with GluonCV programme by Coursera:
- Visit the course page.
- Click on the ‘Enroll for Free’ button that is under the course title on the page.
- Sign up by entering your name, password, and Email ID. If you already have an account, enter those details to proceed.
- After you enter your payment details, your 7-day free trial will get activated, at the end of which, the payment will be deducted if you want to continue. You can cancel the free trial any time.
- You can opt to audit the course for free.
Filling the form
No application form has to be filled by candidates for the AWS Computer Vision: Getting Started with GluonCV programme by Coursera. You can register for this course using your Coursera account. To confirm the enrolment, candidates have to successfully make the payment via their preferred method of transaction.
The syllabus
Introduction to Computer Vision
Machine Learning on AWS
- Weekly overview
- AWS Machine Learning Stack
- Amazon SageMaker
- Amazon SageMaker: demonstration
- Amazon Rekognition
- Amazon Rekognition: Demonstration
- AWS Deep Learning Containers
- AWS Deep Learning Containers: Demonstration
- AWS Deep Learning AMIs
- AWS Deep Learning AMIs: Demonstration
- Weekly summary
Using GluonCV Models
- Weekly overview
- Setting up GluonCV
- Image Classification
- Image Classification: step by step demonstration
- Image Classification: one line demonstration
- Neural Network Essentials: convolution and max-pooling
- Neural Network Essentials: fully connected
- Object detection
- Object detection: step by step demonstration
- Image segmentation
- Image segmentation: step by step demonstration
- Weekly summary
Gluon Fundamentals
- Weekly overview
- Metrics
- Losses
- Metrics vs losses
- MXNet NDArrays
- Common NDArray operations
- Gluon blocks
- MXNet vs NumPy NDArray
- Initialization of Gluon blocks
- Custom Gluon blocks
- Sequential Gluon blocks
- Visualization of Gluon blocks
- Weekly summary
Gluon Fundamentals (Continued)
- Weekly overview
- Automatic differentiation
- MXNet optimizers
- Data in machine learning
- Gluon trainers
- MXNet autograd
- Gluon data loaders
- Gluon datasets
- Gluon transformations
- Neural network evaluation
- Neural network training
- Weekly summary
Final Project
- Counting people in images
- Course summary
Scholarship Details
For the AWS Computer Vision: Getting Started with GluonCV online course by Coursera, students who cannot afford to pay the total fees can opt for ‘Financial Aid’. This button is present at the top of the page, under the course title.
To apply for financial aid, candidates must fill an application form, and Coursera will inform them about the approval.
How it helps
The AWS Computer Vision: Getting Started with GluonCV programme is beneficial for those who want to advance in machine learning and computer vision. After completing this course, the candidates will be able to train a CV model using the GluonCV and MXNet toolkits. The training is provided by top-rated instructors at Coursera, and the candidates will also create a final project under their guidance.
The AWS Computer Vision: Getting Started with GluonCV course curriculum provides an all-round learning experience, complete with hands-on exercise guides, demonstrations, practice quizzes for every module, graded assignments, and feedback to help them consolidate their knowledge. Moreover, students get a professional certificate that can be shared across their LinkedIn profile, printed resumes and CVs.
FAQs
After this course, you can get job titles such as Computer Vision Engineer, Computer Vision Systems specialist, CV Software Engineer and more.
With Coursera Plus, you can get not only this but over 3000 courses along with guided projects and specializations. You can also earn multiple professional certifications and learn from the most prestigious institutions like Johns Hopkins University, Duke University, Google, etc.
You will get access to most of the course materials (readings and videos) in the free audit mode, except for the graded assignments and completion certificate.
The curriculum for the AWS Computer Vision: Getting Started with GluonCV certification course provides module quizzes and a final project to help you test your learning.
The course consists of six modules, one for each week, with different stipulated time limits. Since this is a self-paced course, you can set flexible deadlines in accordance with your schedule and finish the course at your own pace.
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