Computer Vision is one of the advanced technology course that is exciting to learn and create real world applications. Since you’re on this page, it means that you’re exploring the best online Computer Vision course. And we’ve just the right course for you.
We browsed all the popular MOOC’s website to find the best course to learn Computer Vision from scratch. The right program is all you need to learn everything about Computer Vision.
Every training, tutorial, and course on Computer Vision listed here comes with certification once you complete the course. This certification will help recruiters to identify your skill set and have a higher chance of hiring.
In a Hurry?
If you don’t have much time, use the below links to find the best certification course to learn Computer Vision Online. Rest assured we only recommend the best course:
–Introduction to Computer Vision with Watson and OpenCV is one of the best course for beginners to get started.
–Computer Vision Expert from Udacity is a little advanced course where the student has to meet a few prerequisites.
–Deep Learning and Computer Vision A-Z from Udemy is also a great course to begin your Computer Vision career.
Jump to
Best Online Computer Vision Course
We’ve covered 9 high-quality courses to get certified in Computer Vision with an online program.
1. Computer Vision Basics – Coursera
This course is designed by The University at Buffalo and The State University of New York. It is aimed at newcomers to the computer vision technology to learn from scratch. Anyone who is interested to begin their journey in computer vision can sign up for this course. The course material consists of a combination of videos, demos, readings, exercises, and hands-on projects.
By enrolling in this course, students will be able to clearly grasp the technology behind Computer Vision and how it works in the real world. Some of the key popular topics covered in this training are neuroscience, Digital Signal Processing, and Artificial Intelligence. The prerequisite of this computer vision course is calculus, probability, and linear algebra. Since this is an introductory basic course you can sign up if you’ve basic knowledge of the above prerequisite.
Key takeaways of this course:
- Learn about different fields where computer vision is used.
- It covers some key elements that are crucial in computer vision.
- The course discusses the math used in Computer Vision.
- You also experience writing programs in Matlab for computer vision.
- Also, you get a free license to install MATLAB for the duration of the course.
This basic course on computer vision can we completed in 13 hours. So far over 53k students have signed up in this course. Suitable for beginners to learn basics.
2. Introduction to Computer Vision with Watson and OpenCV – Coursera
As the technology of Artificial Intelligence grew several fields opened up to embrace new power AI. And one of them is Computer Vision. This course is developed by IBM and available on the Coursera platform to enroll. Since computer vision has various applications in AI and Machine Learning, it is popular among the new generation of students. This course is best suitable for beginners to learn about computer vision and its various use cases in the real world.
The only requirement to enroll in this course is that you have little programming experience in Python programming language. In this course you’ll learn to leverage the Python, Watson AI, and OpenCV. It consists of many hands-on exercises that will come in handy on real-world jobs. By the end of this computer vision training course, you will create your own web app in the cloud.
Key takeaways of this course:
- Begin learning Computer Vision from scratch even with no prior knowledge on computer vision or ML.
- Learn how computer vision is making an impact on several industries across the world.
- Using IBM Watson you will learn about image classification.
- Train and test the custom image classifiers using Watson Visual Recognition.
- You’ll learn to use the OpenCV package in Python. One of the most sought out topics of computer vision.
- The final topic of the course is to work on the project to create your Computer vision applications.
This beginner course on Computer Vision is one of the best among other courses. The total duration of the course is 15 hours. Also. we’ve listed the best computer vision projects for you to take.
3. Deep Learning in Computer Vision – Coursera
Before Deep Learning emerged, Computer Vision was still in the early stages of technology. Once DL emerged, Computer Vision improved very rapidly. Both Deep Learning and Computer Vision technologies have improved so much that it is becoming a part of our lives. Such as face recognition and self-driving cars. Also, check out the best course to learn Deep Learning online.
National Research University – Higher School of Economics, one of the top universities of Russia developed this course. The purpose of this course is to introduce Computer Vision technology to students interested in the subject. Students are trained on various topics that are essential in computer vision. The project available in this course will teach you to build face recognition and other interesting things.
Key takeaways of this course:
- You’ll begin from the very basics of the subject such as its use cases and purpose of computer vision.
- Learn everything there is to about image processing and the steps involved in the process.
- Using a deep regression CNN you’ll learn to build your own key-points detector.
- It also covers object detection, object tracking, and action recognition. This is a very interesting topic to learn and very fun to build your own apps.
Since the topics covered here are little advanced, you are expected to know concepts of ML, Python, and Deep Learning. The duration of the course is 13 hours. It can be completed in 2-3 weeks.
4. AWS Computer Vision: Getting Started with GluonCV – Coursera
This course is offered by AWS in the Coursera Platform. It trains students on Machine Learning and Computer Vision on the AWS platform. You will learn how to train a CV model using GluonCV and MXNet toolkit. Unlike other CV courses, this does not use OpenCV. The material of the course has interesting topics that cover the AWS cloud platform.
Here you will find the tutorials on how you can combine neural network building blocks into complete computer vision models. The duration of the course is 6 weeks and each week is focused on specific topics related to the main subject. Since the training materials are designed by AWS, the material will definitely be top-notch. It consists of video training, hands-on exercise, and quizzes.
Key takeaways of this course:
- The course kicks off with an introduction to CV and CV in the cloud.
- Learn to use the AWS tools such as Amazon Rekognition and Amazon SageMaker.
- It teaches students the fundamentals of GluonCV and its advantages.
- In the last week, you will take part in the project to build computer vision applications.
- Also, you will see some of the models that are pre-trained for detection, classification, and segmentation.
All the computer vision techniques that you learn here along with hands-on experience is a great value-added skill. Update these skills on your resume after completing the course to have an advantage over other candidates.
5. Computer Vision Expert – Udacity
This course in Udacity is created in collaboration with Nvidia, Deel Learning Institute, and Affectiva. Here you will master the skills of CV, the core technology behind automation, and robotics. The prerequisite before taking this course are Statistics, Machine Learning, Deep Learning, and Python. Python is very essential to advance in these technical skills.
You will write many programs to analyze images, extract, and recognize objects. All this is learned from scratch and basics. This online course from Udacity offers other features such as career services including resume services. They also conduct mock interviews to help students gain confidence and be ready for the real world interviews.
Key takeaways of this course:
- You’ll learn to extract essential features from image data so that you can apply deep learning techniques to classification tasks.
- It includes real-world projects that are used in top companies.
- Learn to track an object and its action. Similar techniques are used in self-driving cars.
- All the codes in your Github portfolio will be reviewed by your mentor and provide feedback to make it better.
- Every course on Udacity comes with personal coach and mentor services which is a great value addition.
The duration of the course is three months, where you should have at least 10-15 hrs per week.
6. Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs – Udemy
This course on Udemy is one of the best selling course on Computer Vision. The instructor of this course also has a good overall rating on the Udemy platform. Before enrolling in this course you should have essential knowledge of high school math and basic Python programming. Computer Vision has made a tremendous job in the world of Artificial Intelligence, the health sector, and the entertainment industry.
This is one of the best Computer Vision course on Udemy to take online. By signing up on this course you get 13 articles to read and 6 downloadable resources. It not only teaches you about the theory part but also on practical exercises. The technologies that you work on this course are OpenCV, GANs, and SSD. You will see several code examples of computer vision code by the trainer.
This is one of the complete computer vision course with python with several other topics.
Key takeaways of this course:
- One of the best selling courses on Udemy on the CV.
- Provides a toolbox of all the models of powerful Computer Vision models.
- Understand the core technology behind this from the theoretical POV as well.
- You will be able to build powerful applications using OpenCV and Python.
- By completing this course, you will have mastered facial recognition tools.
This Udemy course is frequently updated to keep up with technological changes. It contains a total of 11 hours of training videos. Take this course on Udemy to self learn computer vision and earn the certificate.
7. Computer Vision Fundamentals with Watson and OpenCV – edX
The best thing about this course is that it doesn’t need you to know ML or prior CV knowledge. Everything related to the subject is taught from the ground up. So that every individual interested in the CV field can learn. The professor explains every detail of the training material with ease and very easy to understand the concepts.
That means you’ll learn a bit about AI as well if you’re new to this field. Leveraging Python and Watson makes every topic to be fascinating. Here you will build, train, and test your image classifiers. Also, image formation and image processing that you do here are done via AI. This tutorial also features several practical labs for you to work on.
Key takeaways of this course:
- Study about different computer vision applications built and being used in other industries.
- You will learn to build your own image classifiers for you to train and test the model.
- Your application’s image processing and Image formation will be done by AI.
- Interact with your image classification models by leveraging OpenCV, Watson, and Python.
- Self-paced training on the edX platform to learn on your own time.
- The CV model that you build here will be deployed in the IBM cloud environment.
This course on the edX platform is designed by IBM. So far over 7k students have signed up in this course. Students can complete it 14 weeks.
8. Master Computer Vision™ OpenCV4 in Python with Deep Learning – Udemy
Since computer vision relies on several skill sets to perform feature detection of the face, it is a very popular course. The captivating feature of this course is that anyone can sign up for this. But, it will help if you’ve little programming experience. One must note that it is an area of Artificial Intelligence and deals with many algorithms. Due to this, some newcomers may find it difficult. But you can always reach out to the course trainer for help.
The course features over 50 computer vision code examples. This makes learning very simple and effortless. You will also get to learn about Augmented Reality. By the end of the course, you will be able to build over 11 Computer Vision Applications using OpenCV in Python. This will be a great value addition to your resume and online portfolio.
Key takeaways of this course:
- Learn how you can use computer vision to bootstrap ideas for your startup.
- Understand how you can use the OpenCV4 in Python to build apps.
- You will be able to apply colors to black and white pictures.
- Learn everything about image analysis, image processing, vision tasks, detections, motion estimation, and tracking motions.
- You will also be taught how to do multiple object detection using OpenCV.
- Also, you learn about Augmented Reality (AR).
The course features 12 articles to read and 10 downloadable resources. Also, you get lifetime access to the course. You can complete this course in about 2-4 weeks.
9. Introduction to Computer Vision – Udacity
This Introduction to Computer Vision course is developed by Georgia Tech University. They have done a wonderful job of curating every topic in the curriculum. However, this is just a fundamental course and available for free to learn from Udacity. And it has many math topics such as Linear algebra, and vector calculus.
Since this is a free course it features only low to mid-level algorithms for image analysis. Also, you need a good understanding of Python, Data Structures, MATLAB. Hence this is not suitable for beginners or freshers who want to pitch into Computer Vision.
Key takeaways of this course:
- Free course to learn Computer Vision online, however not suitable for fresher to learn from scratch.
- It features rich learning content and includes several quizzes.
- It is an intermediate level course taught by Industry pros.
The duration of the course is 4 months and available for free to learn.
Summary: Best Computer Vision Course
These are the best online Computer Vision course for certification across the several MOOCs available right now. All the certification programs listed here are developed by top instructors and universities.
Becoming a certified Computer Vision professional will positively impact hiring managers or your next potential employer.
* We sometimes use affiliate links in our content, meaning we’ll receive a commission when you buy something via links. This won’t cost you anything but it helps us to offset the costs of our editorial team and keeps this website alive.
Leave a Reply