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Professionals and students from top global institutions choose OpenCV University to upskill.
Become a certified AI Professional with our CVDL Master Program
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MOCV
|
Python
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
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DLPT
|
Python
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.
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GENAI
|
Python
Dive deep into Stable Diffusion. Learn all the techniques of generating images, fine-tuning Stable Diffusion on your own images and even training a GPT language model.
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DLTK
|
Python
Gain in-depth knowledge about NeuralNetworks, prepare datasets and studyDeepNet architectures used for solvingvarious Computer Vision problems.
Play Video
MOCV
|
Python
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
Play Video
DLPT
|
Python
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.
Play Video
GENAI
|
Python
Dive deep into Stable Diffusion. Learn all the techniques of generating images, fine-tuning Stable Diffusion on your own images and even training a GPT language model.
Play Video
DLTK
|
Python
Gain in-depth knowledge about NeuralNetworks, prepare datasets and studyDeepNet architectures used for solvingvarious Computer Vision problems.
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CVIP
|
Python & C++
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.
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DLAP
|
Python
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
(SAVE $1,193 compared to purchasing individual courses)
Students speak about theirCV Master Program journey.
These exceptionally well-organizedcourses provide immense value to AIprofessionals. You can keep using thecontent as a reference long aftercompleting the courses. I recommendAI programs by OpenCV to everyoneinterested in working in the field
Sanjay NichaniVice President (Artificial Intelligence and Computer Vision)
Through the last years, I have taken several MOOCs, yet I am sure that this is one of the best courses in computer vision and image processing.
Israel Raul Tiñini AlvarezArtificial Intelligence Student
Constructive and timely feedback on the assignments and projects are very encouraging and supportive.
Clinton Van RyTechnical Director
The world-class learning advantage of OpenCV University
Intelligent
curriculum design
Build intuition for creatingreal-life applications with a blendof foundational, experiential andpractical learning.
Assignments
& Projects
Reinforce your knowledgewith assignments and
in-depth projects, graded byour expert team.
Code with
explanations
Each course includes codingassignments that allow you tointernalize the concepts through a hands-on learning approach.
Your space,
your pace
Get 100% online and time-flexiblecourses with Lifetime Access toall materials includingpractical examples, projects,assignments, and quizzes.
Your space,
your pace
Get 100% online, time-flexible courses with Lifetime Access to all resources, including practical projects, assignments, & quizzes.
Video-based
instructions
Concepts and code areexplained in video lectures thatallow you to absorb the materialat your own pace.
Course
forums
Each course has a dedicateddiscussion forum, monitored by our instructors, for anyone to share ideas and ask questions.
Courses Offered
- All Courses
- OpenCV
- Deep Learning
- Generative AI
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Play Video
MOCV
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
Available inPython
|
$149
Play Video
DLPT
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.
Available inPython
|
$799
GENAI
Dive deep into Stable Diffusion. Learn all the techniques of generating images, fine-tuning Stable Diffusion on your own images and even training a GPT language model.
Available inPython
|
$159
Play Video
DLTK
Gain in-depth knowledge about NeuralNetworks, prepare datasets and studyDeepNet architectures used for solvingvarious Computer Vision problems.
Available inPython
|
$799
Play Video
CVIP
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.
Available inPython & C++
|
$499
Play Video
DLAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available inPython
|
$499
Edit Content
Play Video
CVIP
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.
Available inPython & C++
|
$499
Play Video
MOCV
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
Available inPython
|
$149
Edit Content
Play Video
DLAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available inPython
|
$499
Play Video
DLTK
Gain in-depth knowledge about NeuralNetworks, prepare datasets and studyDeepNet architectures used for solvingvarious Computer Vision problems.
Available inPython
|
$799
Play Video
DLPT
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.
Available inPython
|
$799
Edit Content
Play Video
GENAI
Dive deep into Stable Diffusion. Learn all the techniques of generating images, fine-tuning Stable Diffusion on your own images and even training a GPT language model.
Available inPython
|
$159
Courses are good.
Programs are better.
Programs offer the greatest value to those who wish to pursue a learning path that includes multiple courses. We have four pricing options for the Programs below that offer great value compared to purchasing courses individually. All our courses come with Lifetime Access anda no-questions-asked 30-day Refund Policy.
- Programs
- Courses
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Course
Mastering OpenCV with
Python (Python) - $149
Fundamentals of Computer
Vision & Image Processing
(Python or C++) - $499
Deep Learning with
PyTorch (Python) - $799
Deep Learning with TensorFlow & Keras (Python) - $799
Computer Vision & Deep Learning Applications (Python) - $499
Mastering Generative AI
for Art (Python) - $159
Standard Retail
100-Day Challenge Pricing
Student Pricing (30% Discount)
30-Day Refund; No Questions Asked
Program 2
CVDL Professional
$1,447
$839
MOCV - Mastering OpenCV with Python - $149
CVIP - Fundamentals of CV & IP - (Python & C++) - $499
DLPT - Deep Learning With PyTorch - $799
DLTK - DL with TensorFlow & Keras -$799
DLAP - CV & DL Applications - $499
GENAI - Mastering Generative AI for Art - $159
30-Day Refund; No Questions Asked
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Course 1
Mastering OpenCV
with Python
Learn to build
exciting OpenCV
applications and start
your AI journey.
$104
$149
$82
$97
Course 2
Fundamentals of Computer Vision
& Image Processing
Build a solid foundation in Image Processing and Computer Vision
$349
$499
$324
Course 3
Deep Learning
with PyTorch
Build a strong
competence in
Deep Learning
(PyTorch).
$559
$799
$519
Course 4
Deep Learning with
TensorFlow & Keras
Build a strong
competence in
Deep Learning
(TensorFlow & Keras).
$559
$799
$519
Course 5
Computer Vision & Deep Learning Applications
Build interesting
applications
using CV & DL.
$349
$499
$324
Course 6
Mastering Generative
AI for Art
Dive deep into Stable Diffusion. Learn all the techniques of generating images
$111
$159
$324
MOCV
Mastering OpenCV For Computer Vision
$104
$149
Learn to buildexciting OpenCVapplications and start your AI journey!
CVIP
Fundamentals Of Computer Vision & Image Processing
$324
$499
Build a solid foundation in Image Processing and Computer Vision
DLPT
Deep Learning With PyTorch
$559
$799
Build a strongcompetence in Deep Learning(PyTorch)
DLTK
Deep Learning with
TensorFlow & Keras
$559
$799
Build a strongcompetence inDeep Learning(TensorFlow & Keras)
GENAI
Mastering Generative
AI for Art
$111
$159
Dive deep into Stable Diffusion.
DLAP
Computer Vision & Deep Learning Applications
$324
$499
Build interestingapplicationsusing CV & DL
CareerX
Helping learners on their journey to land a job in the field of Computer Vision and AI. We will guide you in strengthening your profile in all areas, making your profile more competitive and increasing your chances of success. Know More
Personalised guidance
Job
ready
Stand out from the crowd
Testimonials
Embarking on the 'Deep Learning with TensorFlow and Keras' course was a transformative experience that surpassed my expectations. The course content upholds exceptional quality standards, delivered with remarkable clarity. It seamlessly integrates theoretical insights, practical examples, and hands-on code implementation, providing an enriching learning experience. The meticulously structured curriculum, coupled with a series of challenging assignments and projects ranging from fundamental to advanced levels, significantly contributed to solidifying my understanding of the subject matter. What stood out for me was the timely assistance available when tackling assignments and projects. The support I received was instrumental in overcoming hurdles and completing the course successfully. I wholeheartedly endorse this course to individuals with a sincere interest in acquiring in-depth knowledge of Deep Learning, Machine Learning, and Artificial Intelligence.
Kavitha Lakshmi RamanadhamSenior Data Scientist, Larsen & Toubro
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.
Atanas RogachevSenior Software Engineer
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.
Ceda Fusia
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.
Satheesh BabuSoftware Engineer
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.
Floris Alexandrou Computer Science Student
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++.
Leo Quiroa
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.
Ikbel Boulabiar PhD in HCI
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.
Prem Chedella Software Programmer
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.
Zusong Xiang
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.
Felipe Verdés Wolukanis Robotics Engineer
Certificates
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.
Graduation Certificate
Certificate of Completion
You will receive a Certificate of Excellenceif you score more than 70% marks on thegraded quizzes + assignments + projects within 6 months of enrolling in the course.
Honor Certificate
Certificate of Excellence
Frequently Asked Questions
- Courses
- Payment
- Refund
- Curriculum
- Programs
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Yes, our courses are designed to accommodate learners with varying levels of experience. All that is required is a basic understanding of at least one programming language (Python is preferable but not mandatory). We will walk you through the fundamental concepts, providing step-by-step guidance.
To get the most from our courses, you should possess a working knowledge of Python or a similar programming language. For the courses offered in C++, you should have a basic proficiency in C++.
Aside from the programming experience mentioned above, the series of courses are designed to take you from the fundamentals in Image Processing and Computer Vision through more advanced topics in Deep Learning. If you are looking to jump in directly to our Deep Learning courses, then you should have a good understanding of the foundational material in Image Processing and Computer Vision.
Upon finishing a course, you will be awarded a certificate of completion from OpenCV.org. To qualify for the certificate, you must complete all graded quizzes, assignments, and projects, obtaining a score of at least 50% within six months of enrollment. If your score exceeds 70%, you will be granted an Honor Certificate.
Our team will be available in the course forum to address your questions and provide guidance as needed. We encourage students to post questions on the forum, as other students can often help. In fact, you will find that answering questions for other students will facilitate your own learning. However, rest assured that our instructors monitor the course forum, and we strive to respond within 24 hours. In the end, it’s a highly collaborative environment that allows everyone involved the opportunity to learn.
The course content features a combination of theoretical explanations and practical code demonstrations delivered through both text and video formats. Quizzes, assignments, and projects of varying difficulty levels are also included. Students have the option to choose the assignments or projects they wish to work on, with each carrying a point value. We select the best "m" out of "n" assignments/projects to accommodate individual interests.
This approach allows students to focus on topics that pique their interest, enabling them to delve deeper by completing relevant assignments/projects while having the flexibility to skip topics they find less appealing.
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Yes, you can share an account with a friend. However, please note that if you both qualify for a certificate, we can only issue one certificate per account.
Upon purchasing the course, you should have received an enrollment email. If it's not in your inbox, please check your spam folder. If you still cannot locate the email, reach out to us at [emailprotected] for assistance.
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Absolutely. If you're not satisfied with a course, simply send us an email ([emailprotected]) within 30 days of the course enrollment date, and we will issue a full refund without any questions asked.
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The time it takes to complete a course depends on the number of hours you can dedicate weekly. Based on our observations, students typically finish the courses in the following timeframes:
Mastering OpenCV For Computer Vision: Approximately 2-4 weeks
Fundamentals Of Computer Vision & Image Processing: Roughly 3 months
Advanced Computer Vision and Deep Learning Applications: Around 3 months
Deep Learning With PyTorch: About 4-5 months
Deep Learning With TensorFlow & Keras: Approximately 4-5 months
Please note that taking the time to fully comprehend the course material is essential rather than rushing through it. This will ensure a deeper understanding and better retention of the content.
We offer lifetime access to our courses, allowing you to use them as reference materials long after completion. Please note that for all courses except OpenCV Essentials, we provide online labs with Jupyter notebooks integrated into the course platform for assignment submissions. Access to these online labs is limited to 6 months. However, you can still run the same code on your local machine or through Google Colab after the 6-month period.
No, you have the flexibility to decide when to begin each course. To receive a certificate, you must complete each individual course within 6 months of enrolling in it. The 6-month timeframe applies separately to each course within the bundle, starting from the enrollment date of each specific course.
Yes, you will have lifetime access to the certificate on the course platform. You will get a digital certificate after successfully completing the course and you can share this certificate on LinkedIn, Facebook and other platforms.
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If you're looking for the most comprehensive option, the CV Master Bundle offers the complete set of courses provided by OpenCV.org. However, if the CV Master Bundle is too extensive or costly for your needs, we recommend the CV DL Starter. This bundle equips you with a strong foundation in both traditional computer vision and modern deep learning approaches.
Can’t decide which course to take?
Get in touch to learn more.
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Refund Policy
For all refund requests and queries, please write to us at [emailprotected].
Courses
You will have a window of 30 days after youstart the course to request a full refund.
Programs
You will have a window of 30 days after youstart the first course in the program to requesta full refund. Refunds are offered for the entireprogram and not for individual courses withinthe program.
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