Learn how Neural Networks, Multi-Layer Perceptron and Convolutional Neural Networks are used for Image Classification and Segmentation, and train your own CNN model on a custom dataset. All this, in just 3 hours!
Course Code
TFBC
Type
Beginner
Available in
Python
Price
Free*
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 in Python
|
$999 $649
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 in Python
|
$299 $194
DLAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available in Python
|
$699 $454
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 in Python & C++
|
$599 $389
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 in Python
|
$249 $162
DLTK
Gain in-depth knowledge about Neural Networks, prepare datasets and study DeepNet architectures used for solving various Computer Vision problems.
Available in Python
|
$999 $649
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 in Python & C++
|
$599 $389
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 in Python
|
$249 $162
DLAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available in Python
|
$699 $454
DLTK
Gain in-depth knowledge about Neural Networks, prepare datasets and study DeepNet architectures used for solving various Computer Vision problems.
Available in Python
|
$999 $649
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 in Python
|
$999 $649
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 in Python
|
$299 $194
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.
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.
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.
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For all refund requests and queries, please write to us at [email protected].
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 program to request a full refund. Refunds are offered for the entire program and not for individual courses within the program.
Ready to begin your learning journey with OpenCV University?
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!