Build a solid understanding of OpenCV tools used for Image Processing, Computer Vision, and Video Processing, and lay a strong foundation for solving Computer Vision problems.
Start solving Computer Vision problems using Deep Learning techniques and the TensorFlow framework. Study the architecture of Neural Networks and learn how to train them.
Start solving Computer Vision problems using Deep Learning techniques and the PyTorch framework. Dive into the architecture of Neural Networks, and learn how to train and deploy them on the cloud.
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
Build a solid understanding of OpenCV tools used for Image Processing, Computer Vision, and Video Processing, and lay a strong foundation for solving Computer Vision problems.
Start solving Computer Vision problems using Deep Learning techniques and the PyTorch framework. Dive into the architecture of Neural Networks, and learn how to train and deploy them on the cloud.
Start solving Computer Vision problems using Deep Learning techniques and the TensorFlow framework. Study the architecture of Neural Networks and learn how to train them.
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Build an intuitive understanding of the concepts through a blend of foundational, experiential, and practical learning.
Reinforce your knowledge with assignments and in-depth projects, graded by our expert team.
Each course includes coding assignments that allow you to internalize the concepts through a hands-on learning approach.
All our courses are online and come with Lifetime Access which means all the material is available for you to access and download whenever you like.
Concepts and code are explained in video lectures that allow you to absorb the material at your own pace.
Each course has a dedicated discussion forum, monitored by our instructors, for anyone to share ideas and ask questions.
The course exceeded my expectations in many regards — especially in the depth of information supplied. The keyword "engineering oriented" surprised me nicely. Next amazing thing was the mathematics - everything is described very detailed and in depth. Which is unusual with nowadays courses. The course is very well organized and conceived. By following it, I was able to learn and build on the concepts with minimal questions or frustration.
One of the things which has surprised me that I like the most - I noticed it because I have worked through a number of online courses in the past - is the length and style of the videos. They break up the content for each lesson segment into a very easy-to-consume block of time, which has actually made it much easier to maintain progress in the course. Since I have a day job, this is a huge win for me. The staff are incredibly responsive and helpful without just handing out answers - I like this especially as it means I'm still figuring it out in the end even if I do need to ask for assistance. All of this has really helped me to actually learn the content, and I feel like the investment has been well worth it.
I am really impressed with the mix of rich content offered in the course (video + text + code), the reliable infrastructure provided (cloud based execution of programs), assignment grading and fast response to questions on forums. I should specifically mention the clarity of explanations provided in the video lectures and very good real world examples provided. For the course load part, I feel it is light enough to understand and challenging enough to stretch and learn to appreciate our own effort! Overall, I feel this has been one of the top paid online courses that I have ever taken.
The only course I've ever bought online and it's totally worth it. There are lots of material which are challenging and applicable to real world scenarios. The sections contain text, video and additional sources so it's easier to understand. I am at the end of computer vision I and the more I progress, the more fun it gets. As a computer science student, so far this is the most interesting topic I've ever explored.
The way they explain all the concepts are very clear and concise. This understanding is a crucial part to build a solid foundation in order to pursue a computer vision career. If you commit to the course you will end up with plenty of useful projects to build a robust portfolio. I will definitely recommend this course to any enthusiastic beginner or even for more advanced people in the field to polish some basic concepts plus the discussion forum is always on. I almost forgot to mention that the course is so versatile that provides two languages to learn: Python or C++.
I really enjoyed this course which exceeded my expectations. It summarize the important computer vision aspects you should know which are now eclipsed by deep-learning-only courses. You'll have the necessary knowledge to tackle your own problems with a different view avoiding over-engineered solutions. Reactive continuous feedback and practical projects gives you motivation to pursue the learning curve than a traditional book and completes it.
The course is divided into weekly lessons, those are crystal clear for different phase learners. The authors of the lessons and source code are experts in this field. After the explaining the CV fundamentals/algorithms, there is a corresponding source code where the learner can experiment with different values and see how each parameter value changes the behavior. The assignment, quizzes, and project work helps the learner to use the skills and techniques that are learned in the previous lessons.I recommend this course to the learners who are interested in DL, ML, and AI fields.
I did a career change in 2018, so I am a freshman to CV. Fourunately, I saw the CV course on a OpenCV meeting as my teacher Mr Yu told me that. In the beginning, I thought the course would be just so so, so I just tried it a little. But when I went through the course as time going, it became more exciting to me: I could receive new idea everyday when I learned the course. And the most important thing is that, my confidence become better, I beleive the course can help a lot in my career! thank you all, OpenCV Team.
I took this course because of the experts that were ahead of it and the availability to see the code implementations in both languages, C++ and Python. Definitely, the best part of the courses were the coding exercises and projects which made the learning process really immersive and fun. Implementing a small snippet of code from an idea presented in a research paper was the most remarkable exercise, you realize how a theoretical formula can be turned into an extraordinary practical application. If you are curious to understand how machines see and expand your knowledge through the multiple Computer Vision domains, this is the right course for you.
The OpenCV course is refreshing in the computer vision community! Satya Mallick (CEO) is very clear in his lectures for every topic in the field including the source code assigned. The Q/A forum is humbling between authors and students with positive responses. What encouraged me to enroll is their upcoming course integrating PyTorch with OpenCV for its fast imperative “pythonic” programming style reported by Jeremy Howard ( CEO of fast.ai ). My favorite project so far is the snapchat filter: replacing your face with another in a video. I can tell that the authors took their time organizing a course with the latest tech in computer vision and get a head start in the AI industry with practical skills.
I was doing a self-study on AI, when I came across with Opencv summer course. I can sure tell you that this course has opened my mind to a world of possibilities. It was crucial to fill some gaps in my knowledge about image processing and computer vision. Also, the lectures were not boring and the assessments were challenging yet doable. What I can say is that this course exceeded my expectations. Please, keep up the good work!
To receive a CERTIFICATE OF COMPLETION from OpenCV.org, you need to complete the graded quizzes + assignments + projects, with more than 50% marks and within 6 months of enrolling in the course.
You will receive a CERTIFICATE OF EXCELLENCE if you score more than 70% marks on the graded quizzes + assignments + projects within 6 months of enrolling in the course.
Course Bundles offer the greatest value to those who wish to pursue a learning path that includes multiple courses. We have five pricing options for Course Bundles below that offer great value compared to purchasing courses individually.
All our courses come with Lifetime Access and a no-questions-asked 30-day refund policy.
You will have a window of 30 days after you start the course, to request a full refund.
You will have a window of 30 days after you start the first course in the course bundle, to request a full refund. Refunds are offered for the entire course bundle and not for individual courses within the course bundle.
Courses are (a little) oversubscribed and we apologize for your enrollment delay. As an apology, you will receive a 20% discount on all waitlist course purchases. Current wait time will be sent to you in the confirmation email. Thank you!