20+ Experts have compiled this list of Best Computer Vision Course, Tutorial, Training, Class, and Certification available online for 2020. It includes both paid and free resources to help you learn Computer Vision and these courses are suitable for beginners, intermediate learners as well as experts.

7 Best Computer Vision Courses, Certification & Training Online [2020] [UPDATED]

This program walks you through the key features and concepts required to build convolutional neural networks and apply them to image data. Learn to apply the networks for visual detection and recognition tasks and use neural style transfer to generate art. Upon the completion of the class, you will be ready to integrate your knowledge and work on relevant projects. You may also be interested in taking a look at our take on ML courses here.

Key USPs-

– The lectures guide you through all the necessary topics required to handle the tools used in the lessons adequately.

– Instructors provide tips, advice and the best practices to debug and write clean codes.

– Demonstrations and step by step guidance are provided to understand the concepts better.

– Get the opportunity to work on assignments and apply the techniques covered in the classes.

– The course is divided into sections along with small assessments or questions which makes it easier to follow along.

– Explore many interesting and new topics with continuous guidance and support from the instructor.

– Complete all the graded assessments and exercises to earn the completion certificate.

Duration: 4 weeks, 4 to 5 hours per week

Rating: 4.8 out of 5

You can Sign up Here

Review : Great course for kickoff into the world of CNN’s. Gives a nice overview of existing architectures and certain applications of CNN’s as well as giving some solid background in how they work internally. -AG

It is a fact that computer vision plays a crucial role in robotics and automation and is one of the most in-demand skills in today’s industries. In this nanodegree you will get started with writing programs for analyzing images, implementing feature extraction and recognizing objects using deep learning models. So if you have prior experience with Python, statistics, machine learning, and deep learning then having this degree under your belt will definitely be a smart move.

Key USPs-

– Each section is followed by relevant projects such as facial keypoint detection, automatic image captioning and landmark detection & tracking.

– The flexible structure of the courses allows you to learn at your own pace.

– Get help regarding interview preparation, resume services, personal career coaching and more.

– Learn techniques used in self-driving car navigation and drone flight.

– Combine CNN and RNN networks to build an application.

Duration: 3 months, 10 to 15 hours per week

Rating: 4.5 out of 5

You can Sign up Here

Designed by expert instructors of IBM, this course can provide you with all the material and skills that you need to get introduced to computer vision. Joining this course will help you learn the fundamental concepts of computer vision so that you can understand how it is used in various industries like self-driving cars, augmented reality, robotics, face detection in law enforcement, etc. During the course, you will be able to communicate with your instructors if you have any queries related to the course content, or you are unable to understand the concepts in the course. After concluding the course positively, you will receive a certificate of completion that can be shared with employers.

Key USPs –

– A hands-on course included with several labs and exercises to help learn and understand the basic and simple concepts of computer vision

– Learn how to utilize Python, Watson AI, and OpenCV to process images and interact with image classification models

– Learn how to build, train, and test your own custom images classifiers in visual recognition instance, as well as train your classifiers to classify dog images into different breeds

– Get free access to a cloud environment that allows you to build your own computer vision web app and position it to the cloud

Duration: 15 hours

Rating: 4.5 out of 5

You can Sign up Here

Review: Thoroughly enjoyed this course. Learned about OpenCV a bit and added to my small knowledge of Python. The ability to know how to train Watson to do optical recognition will be invaluable. – MO

This program is one of the top contenders for learning how to use Python for computer vision. Commence by learning about numerical processing and manipulating images with the NumPy library. Following which you will explore the OpenCV library, process images and apply a variety of effects such as color mapping, thresholds, gradients and more. End the training by understanding many complex concepts, getting hands-on and discussing the latest developments. We also have a compilation of some of the best python courses here if you are interested.

Key USPs-

– This is an intermediate level course and can be taken by anyone who has some prior experience in Python.

– Create color histograms with OpenCV and draw shapes on images and videos.

– Perform face detection, feature matching, object tracking and more.

– Work with customized deep learning network, optical flow, and WaterShed algorithm.

– 92 Lectures + 4 Articles + 3 Downloadable resources + Full lifetime access

– Available at an affordable price on e-learning website Udemy.

Duration: 14 hours

Rating: 4.5 out of 5

You can Sign up Here

Review : The course is great! Seriously every course’s, I’ve had with Jose Portilla! However, there is one thing that I don’t like. It may have something to do with the fact that I am a Python Developper, cause I would like to see him use more the named args instead of pitching in arguments 🙂 -Jeff Labonte

This certification will help you to break through into the world of artificial intelligence and build amazing apps by leveraging the latest technology. Explore the processes, methodologies and basic concepts before applying them in practice. Knowledge of high school mathematics and basic python is enough to enroll in this lesson. With 20,000+ students and stellar ratings, this program is a crowd favorite. You may also want to check out our compilation of Best Artificial Intelligence Course.

Key USPs-

– Have a toolbox of the most powerful computer vision models.

– Master OpenCV, facial recognition and object detection.

– The instructor is a renowned expert in this area and explains the ideas well and at a good pace.

– A wide variety of examples helps you to get a clearer view of the topics.

– Understand the theory behind the topics and create powerful applications.

– 78 Lectures + 7 Articles + 5 Downloadable resources + Full lifetime access

Duration: 11 hours

Rating: 4.4 out of 5

You can Sign up Here

Review : I really like that Kirill makes it so easy to understand, and then provides the links for us to read further if we want to. Being very interested in AI, I usually use these links! Also, Hadelin always explains his code, which makes understanding the coding easier. -Hans Arjun Gunnoo

If you stay in the loop with the news of technological advancements then I am sure that you must have heard about the ways in which computer vision is reaching new heights. If you have the knowledge to build, train and use a CNN as well as thorough python knowledge then this course can come in handy to help you to jump-start a career in this field. Learn how to create an object detection system that il be able to classify images, locate the object and predict its label. Work with state of the art algorithm SSD that will help you to achieve the goal faster and accurately. Also check out our compilation of Best Deep Learning Courses.

Key USPs –

– All the topics are covered from the very beginning including the setup of necessary tools.

– A number of exercises to check your grasp on the concepts cover and overcome your queries.

– Each topic is covered in an elaborate manner with proper examples and demonstration.

– All the code used in the program can be downloaded from the GitHub of the instructor.

– 67 Lectures + Full lifetime access

– Available at affordable pricing on e-learning platform Udemy.

Duration: 7 hours

Rating: 4.7 out of 5

You can Sign up Here

Review : Great explanations. Good hands on coding exercise. Lazy programmer’s courses are great starting points to learn about the latest techniques available in several areas of ML. -Siddhartha Banerjee

This intermediate level program is designed by the Universty of Michigan to get a strong footing in the area of computer vision. Get an introduction to the third party APIs, manipulate images using the Python imaging library, apply optical character recognition to images to identify text, faces using the OpenCV library. By the end of the journey, you will have the experience of working with three different libraries to create a real-world data science project. If you are interested in learning further about Data Science, then do check out our compilation of the best courses on the subject.

Key USPs-

– Work with the imaging library and perform cropping, resizing, recoloring and overlaying text.

– The complete set of lectures are broken into appropriate sections which makes it easy for the students to follow.

– The instructor explains all the concepts in a simple yet concise manner.

– Detect faces in images as well as crop and manipulate them into contact sheets.

– Pass the graded assessments to earn the certification as well as take the opportunity to complete the project.

– Flexible deadlines allow you to take the classes as per your convenience.

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

8. Computer Vision Course by Microsoft (edX)

In this hands-on the certification you will explore interesting topics such as image analysis techniques using Microsoft Cognitive Toolkit and OpenCV to segment images into meaningful parts. Understand the evolution of this area from the classical to deep learning techniques. By the end of the lectures, you will have the confidence to take on projects in relevant areas as well as take your skills a notch higher.

Key USPs-

– Working knowledge of python, AI and Deep Learning fundamentals is required.

– Apply Transfer Learning to augment ResNet18 for a Fully Convolutional Network for semantic segmentation.

– Implement the classical image analysis algorithms using the OpenCV library.

– The real-world examples make the lectures much more interesting and clear.

– Cover topics like edge detection, watershed, distance transformation among others.

– Plenty of assignments to practice the concepts covered in the lectures.

– The course material can be accessed for free and the certification can be added for an added amount.

Duration: 1 course, 4 weeks per course, 3 to 4 hours per week

Rating: 4.5 out of 5

You can Sign up Here

9. Free Computer Vision Course by Georgia Tech (Udacity)

This program by Georgia Tech is one of the top contenders among the e-learning options in this field. Commence from the fundamentals of image formation, camera imaging geometry, feature detection, and matching, motion estimation before moving on to the practical classes. In the hands-on sessions, you will develop basic methods for applications that include finding known models in images, depth recovery from the stereo, calibration, stabilization, automated alignment, and tracking. With a focus on every important aspect of the topic, this certification doesn’t let you down.

Key USPs-

– Develop intuitions and mathematics of the methods covered in the lectures.

– Learn about the difference between theory and practice in the problem sets.

– Attempt the interactive quizzes to measure your grasp on the concepts.

– Self-paced lessons let you study as per your convenience.

– Implement the concepts covered in the lectures and enhance your resume.

– Join the student support community, interact with your peers and clarify your doubts.

– The complete study materials and videos are available for free.

Duration: 4 months

Rating: 4.5 out of 5

You can Sign up Here

10. Become a Computer Vision Expert (Udacity)

If you want to apply your knowledge of programming and love for visuals, then this Computer Vision course on Udacity is the right choice. You should know Python and machine learning to start with this Nanodegree program. In this course, you will learn the basics of image processing and techniques of data extraction from images. As you proceed through the course, you will also learn the application of deep learning concepts in computer vision. With the increase in the demand for AI-based jobs, becoming a computer vision expert can work wonders for you.

Key USPs –

– Advance in computer vision concepts to write image processing codes

– Understand the application of deep learning and machine learning in computer vision

– Learn object tracking methods for object detection and counting

– Work with AI-based and automation companies to apply your knowledge

Duration: 3 Months

Rating: 4.5 out of 5

You can Sign up Here

Review: The program has been great! My mentor has helped me get back on track and is monitoring my progress. This form of accountability was what I needed and has helped me stay focused. – Mahak B.

11. Computer Vision Certification by State University of New York (Coursera)

This program has been discontinued

This specialization is designed to help you build a solid foundation in this rapidly growing research field. Throughout the classes, you will explore the integral elements that enable vision applications ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Work with state of the art techniques from the top industries. Apart from this, you will also have the opportunity to gain hands-on experience in writing computer vision code through online labs using MATLAB and supporting toolboxes.

Key USPs-

– Chance to design computer vision applications from the very scratch.

– Leverage the functionalities of MATLAB to enhance the applications.

– Elaborate text and diagrams are used to provide explanations for the concepts and formulas.

– Discern the level of complexity of vision algorithms as well as understand the limitations of this field.

– Attempt the graded assessments and quizzes to earn the certification.

– Learn at your pace with the flexible schedules.

Duration: 2 months, 14 hours per week

Rating: 4.0 out of 5

You can Sign up Here

So these were the 9 Best Computer Vision Tutorial, Class, Course, Training & Certification available online for 2020. Hope you found what you were looking for. Wish you a Happy Learning!