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Empower Your Workforce, Thrive on AI Driven Growth
Enable Students, Educators and professionals with AI Fluency through Practical Industry-relevant training in Computer Vision and Deep Learning frameworks.
Organizations that have benefitted from OpenCV University
Need Help Solving a Complex Computer Vision problem?
Leverage the experience of OpenCV Experts. Share your specific problem statement, engage in consultation tailored to your specific requirements.
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Testimonials
A year later I was hired at Tesla as a Data Engineer with double the compensation.
OpenCV University was the best investment in my AI career.

A huge part of this success is due to the skills I acquired through OpenCV University courses.
I am at the beginning of my AI journey but this early success is thrilling.

As an AI expert, I charge 2-3 times more on Upwork than in my previous role as a software developer.
The extra cash enabled me to bootstrap a startup I am working on.







Frequently Asked Questions
If I lack experience in Computer Vision, Machine Learning, or advanced Math, are these courses still appropriate for me?
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.
What are the prerequisites for enrolling in these courses?
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.
Will I receive a certificate upon completing a course? What are the requirements?
What should I do if I need assistance with the course content?
How is the course material structured?
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.
Is it possible to share an account with a friend if I cannot afford the course?
I've already paid for the course, but I haven't received any enrollment information.
Am I eligible for a refund if I'm unsatisfied with a course?
What is the anticipated duration of each course?
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.