While the natural world may belong to our human eyes, the digital world belongs to the eyes of computers. In the domain of the internet, machines must be able to adequately “see” and understand what they’re looking at. Computer vision is used all the time, for things like face recognition, object detection, photo categorization, and general artificial intelligence. Just as the real world is full of images, the digital world is as well, and real people are needed to aid computers in understanding their world so that we can unlock all the data that an image can give us. We need computer vision to understand the pictures of the digital world through the eyes of computers. In light of this task, we’ve compiled a list of the five best computer vision courses to help you become an expert in the realm of computer vision and progress the digital world into a smarter, faster place.

Master Computer Vision with OpenCV4 in Python

In this comprehensive computer vision course for beginners, Master Computer Vision takes a deep-learning approach with hours of projects and a plethora of skills to be taught and explored. This course teaches everything from the fundamental concepts of computer vision to programming skills to building image detectors.

Benefits of the course:

  • The program offers necessary skills as well as 21 projects to give the students a more in-depth and more hands-on learning experience.
  • The instructors understand that computer vision is a difficult subject to learn, so their courses are easy to understand and provide a solid foundation of knowledge to those who knew nothing about the subject in the first place.
  • They offer many coding examples throughout their course to assist learning and at the very enable students to build computer vision applications to showcase their skills.

This course is priced at $199.99 and offers 10.5 hours of video lectures as well as 12 articles and 15 downloadable resources, meaning you can work at your pace. This course is ideal for beginners, and we suggest you check it out.

Computer Vision Specialization

Computer Vision Specialization is a course offered by The State University of New York and University at Buffalo, but 100% online. The course is for intermediate learners and will teach you to build computer vision applications and better understand vision algorithms in terms of their complexity and limitations.

Benefits of the course:

  • This course is not just a course, but a series of sessions, or specializations, from which you can choose. You are given a choice to enroll in one specialization directly or review them all and select the one you best see fit for you.
  • You can pause or cancel your subscription to the course at any time, and you can complete as many as you want or only one if you choose.
  • The course offers hands-on projects in every specialization in the series of classes, and you will earn a certificate after completing each project that you can use to share with your network and possible employers.
  • Aside from projects, the course provides graded assignments and quizzes with instructor feedback.

The course takes about three months to complete if working at the recommended 14 hours per week, but since the work is at your own pace, you can work ahead or at a slower pace depending on what works for you. The Computer Vision Specialization course is available to enroll in for free and offer financial aid, which can help cover the fees. If seeking to further your computer vision skills, this is an excellent option for you.

Introduction to Computer Vision by Georgia Tech

Despite being titled as an introduction, this is an intermediate course, but an in-depth one at that. This course places more focus on classification theory than machine learning and seeks to develop stronger fundamentals rather than learn high-level skills. There’s plenty to learn in this course – depth recovery, image stabilization, tracking, action recognition, etc.

Benefits of the course:

  • Completing the course puts you on track for a career with the Deep Learning Program, building artificial intelligence projects.
  • The course offers a student support community to share skills, ask questions, and receive feedback from fellow students.
  • The course is taught by professionals in the industry.

The course takes approximately four months to complete but is self-paced and completely free. If you’re seeking something solid with opportunity, give this one a go.

Computer Vision and Image Analysis with Python

Before we start, we have to mention that for this course, you need to have an understanding of Python and be able to use it. If you do, then this course offers a lot more to learn. Computer Vision and Image Analysis is a hands-on course that explores machine learning, object detection, image classification, and all sorts of analysis techniques using various Python packages.

Benefits of the course:

  • The course’s lectures provide real-world examples.
  • There are numerous assignments for practicing everything taught in the lectures.
  • As well as image classification and object detection, the course goes much more in-depth, teaching students to use semantic segmentation models and industry-level machine learning frameworks.

This course is for intermediate learners and free to take. However, the cost of the verified certificate of completion is $99. The course takes about four weeks to complete if working at the recommended 3-4 hours per week. If you feel confident that you have a good understanding of things like Python, Deep Learning, and AI, and are looking for something to build on your skills with, this course is a good pick for you.

Deep Learning: Advanced Computer Vision

There are a few things required before going into this course. You should have decent Python coding skills, have a basic understanding of convolution and neural networks, and know how to use a library to build and train a CNN. This course is an advanced one and quite specific. The program takes an in-depth look at CNNs, neural style transfer, and object detection.

Benefits of the course:

  • There isn’t much math involved, as the course focuses on systems involving CNNs rather than the CNN itself.
  • There isn’t much low-level code involved either, instead using high-level coding that is written out for the student already in many cases.
  • There is a discussion board that allows students to ask questions, enabling interactive learning.

The product is priced at $199.99 and offers 7 hours of video. However, the instructor does state that many of the exercises may take days or weeks to complete. The learning is self-paced and accessible just about anywhere – phone, laptop, or television. If you’ve already got a strong background in computer vision and seek to take your skills to a higher level, this course will surely benefit you.

The Summary | Which is the Best?

The best way to learn computer vision is up to you. We have courses listed for all levels on our list, and every one of these self-paced courses offers certification. Whichever you believe provides the skills that would be most beneficial to you is your choice. As long as you have the motivation, the focus, and a comfortable work/learning environment, you’re capable of tackling to concept of computer vision and jumping into the world of AI, or getting deeper into it.

Read up on the recommendations above if you’re still trying to decide; research can only help you. If you want to take our word for it, though, go right ahead, these programs are on our list for good reasons. Whichever you choose, best of luck, and happy learning.