Computer Vision Courses & Certification

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We have compiled some renowned courses available online from across the globe for your convenience thus have developed this list of Computer Vision Courses & Certification. Course details may vary, that is, it can be a paid course or an unpaid course; you may go through the various links to choose the course according to your preference.

Computer Vision Courses & Certification

  1. Computer Vision Course & Certification by the State University of New York
  2. Convolutional Neural Networks
  3. Python for Computer vision with OpenCV and Deep Learning (Udemy)
  4. Deep Learning Course: Advanced Computer Vision
  5. Python Project: Pillow, Tesseract, OpenCV by the University of Michigan
  6. Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs
  7. Computer Vision and Image Analysis Course by Microsoft

Computer Vision Course & Certification by the State University of New York

Provided by Coursera, this specialization aims at giving you the basic foundation in the field of computer vision which lays the groundwork that is necessary for creating stunning and sophisticated vision applications. From editing images to reading the traffic signs in self-driving cars to factory robots navigating around human co-workers, learners will explore literally everything. This course is taught in Matlab using computer vision and supporting toolboxes. Also, the students are asked to have some basic programming skills and experience preferably in MatLab. , basic linear algebra and basic probability. The skills that you will be gaining are Matlab, Machine Learning, Image Processing, Computer Programming, Computer Vision.

Perks: 

  • Learn to design computer vision application programs from cratch.
  • Understanding the various limitations of vision algorithms
  • 100% online courses
  • Start instantly and learn at your own schedule.
  • Flexible Schedule
  • Set and maintain flexible deadlines.
  • Intermediate Level

Instructors:

Radhakrishna Dasari(Department of Computer Science), Junsong Yuan(Associate Professor and Director of Visual Computing Lab Computer Science and Engineering)

Course Provider: Coursera

Rating: 4.0/5

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Convolutional Neural Networks

Brought to you by Coursera, this course aims at teaching you how to build various conventional networks and applications of the same into image data. Upon improvements in the field of deep learning, computer visions have been working much better than what it was before which on the other hand has enabled lots of exciting and stunning applications that range from safe autonomous driving to accurately reading radiology images. By the end of this course, the skills you will gain are facial recognition system, TensorFlow, convolutional neural network, artificial neural network. 

Perks: 

  • Understanding how to create convolutional neural networks
  • Learning the application of convolutional networks for the visual detections and recognition tasks
  • Knowing how to use the neural style for generating art
  • 100% online
  • Start instantly and learn at your own schedule.
  • Flexible deadlines
  • Reset deadlines in accordance with your schedule.
  • Intermediate Level
  • languages: Chinese(Traditional), Chinese(Simplified), Korean, Turkish, English, Spanish, Japanese

Instructors:

Andrew Ng CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist, Baidu and founding lead of Google Brain

Course Provider: Coursera

Rating: 4.9/5

Register Here

Python for Computer vision with OpenCV and Deep Learning

Brought to you by Udemy and created by Jose Portilla, this course aims at teaching you the latest techniques in computer vision with Python, Open CV, and Deep Learning. You will also learn the basics of NumPy, manipulation and opening images with it, using python and open CV for drawing shapes on images and videos, creating color histograms with OpenCV, opening and streaming videos with python and what not! It involves 92 lectures with super detailed content. So hurry up and enroll now.

Perks: 

  • 30-Day Money-Back Guarantee
  • 14 hours on-demand video
  • 4 articles
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Course Provider: Udemy

Rating: 4.5/5

Register Here

Deep Learning Course: Advanced Computer Vision

Brought to you by udemy and created by Lazy Programmer Inc, this course aims at teaching you advanced computer vision and convolutional neural networks in TensorFlow Keras and python. All you will require for this course are the ability to understand the basic theoretical concepts behind convolution and neural networks and he/she should also be able to do decent coding in python preferably in data science and the Numpy stack. 

Perks: 

  • Well structured video with lots of exercises for checking your progress
  • Codes that are used can be downloaded from the instructor’s GitHub. 
  • 30-Day Money-Back Guarantee
  • 7 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Course Provider: Udemy

Rating: 4.5/5

Register Here

Python Project: Pillow, Tesseract, OpenCV by University of Michigan

Offered by the University of Michigan and brought to you by Coursera, this course aims at teaching you the manipulation of images using Python imaging library (pillow), the application of optical character recognition of text and the identification of faces in images using popular OpenCV library. Upon completion of this course not only will you get a stunning portfolio ready for you but also you will have a good experience having worked with three libraries that are available for python 3 for creating a real-world-data-analysis project. This course is meant for those who have done the first four courses of python 3 programming specialization and also those who have python programming skills but still want to have a hands-on experience and real-world data analysis project.

Perks: 

  • Learning the inspection and understanding AIs and third-party libraries which will be used with python 3. 
  • The application of python tesseract library using python 3 for detecting text in images through OCR
  • Application of python imaging library for opening, viewing and manipulating images which includes cropping, resizing, recoloring and overlaying texts. 
  • 100% online
  • Start instantly and learn at your own schedule.
  • Flexible deadlines
  • Reset deadlines in accordance with your schedule.

Course Provider: Coursera

Rating: 4.5/5

Register Here

Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs

Brought to you by Udemy and created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, this specialization aims at making you a wizard of all the latest Computer vision tools that currently exist out there and detecting anything and building powerful apps. You will also be taught the basic theories behind computer vision, mastering object detection and creating powerful computer vision applications, mastering facial recognitions, OpenCV and having a toolbox of the most powerful computer vision models. The only things that you will require are basic knowledge in high school maths and in python. 

Perks: 

  • 30-Day Money-Back Guarantee
  • 11 hours on-demand video
  • 11 articles
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Course Provider: Udemy

Rating: 4.5/5

Register Here

Computer Vision and Image Analysis Course by Microsoft

Brought to you by Edx, this course aims at teaching you about the Image Analysis techniques using python packages like PIL, Scikit -Image, OpenCV and others. You will also be exploring machine learning for computer visions including deep learning techniques for image classification, object detections, semantic segmentation using industry-standard machine learning frameworks like SciKit-Learn, Keras, and PyTorch.

Perks: 

  • Exploring, manipulating, and analyzing images using Python packages for computer vision.
  • Implementation of image classification using classical machine learning and also deep learning techniques.
  • Using data augmentation and transferring the learning for the creation of highly-effective convolutional neural networks (CNNs)
  • Going beyond image classification for using object detection and semantic segmentation models.

Course Provider: edX

Rating: 4.5/5

Register Here

Here was a brief description of Computer Vision Courses & Certification which can turn out to be really effective when learned with the true and required dedication. you can also go for other courses like Best Surface Designing online Courses, How to Buy Products from Alibaba and Sell on Amazon, etc. Happy learning.!

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