Best Computer Vision Courses to Master in 2019

by June 30, 2019 0 comments

As Artificial Intelligence becomes the buzzword, enterprises are in the race to master and adapt to the change that technology brings. In the quest, many young professionals who want a prosperous career in data science, and machine learning, want to learn and add to their CV the latest AI courses that put that way ahead of the competition. As professionals have time constraints, this paves way for the ultimate find, the search for the best online courses that they can master over the due course of their professional commitments.

Among the disruptive technologies, Computer Vision is a domain that has attracted maximum eyeballs of the professionals and academia alike. Here are the best Computer Vision Courses to master in 2019:

 

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

Platform: Coursera

Course Duration: Self-paced

The Python Project by the University of Michigan, available on Coursera is an intermediate level program designed for users who aim to get a strong footing in the area of computer vision. In this course, you can get an introduction to the third-party APIs, manipulate images using the Python imaging library, apply optical character recognition to images to identify text, faces using the OpenCV library. You will work with the imaging library and perform cropping, resizing, and overlaying text. The complete set of lectures are broken into appropriate sections which makes it easy to follow. You will have to pass the graded assessments to earn the certification as well as take the opportunity to complete the project.

 

Deep Learning: Advanced Computer Vision

Platform: Udemy

Course Duration: 7 hours

In this course, you learn how to create an object detection system that can locate the object, predict its label and classify images. In the Deep Learning: Advanced Computer Vision by Udemy, all the topics are covered from the very beginning in an elaborate manner with proper examples and demonstration. You can download all the code used in the program from the GitHub of the instructor. This course covers 67 Lectures + Full lifetime access and is available at affordable pricing on e-learning platform Udemy.

 

Computer Vision Certification by State University of New York

Platform: Coursera

Course Duration: 2 months, 14 hours per week

This specialized course is designed to help you build a solid foundation with a strong foot into research. Throughout the classes, you will explore the integral elements that enable vision applications ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. During the course, you will also have the opportunity to gain hands-on experience in writing computer vision code through online labs using MATLAB and supporting toolboxes. The explanations are offered in elaborate text and diagrams for the concepts and formulas. You will have to attempt the graded assessments and quizzes to earn the certification.

 

Convolutional Neural Networks

Platform: Coursera

Course Duration: 4 weeks, 4 to 5 hours per week

The Convolutional Neural Networks (Coursera) program walks you through the key features and concepts which are required to build convolutional neural networks. In this course, the instructors provide tips, advice and the best practices to debug with the codes. You learn by demonstrations, step by step guidance and get the opportunity to work on assignments and apply the techniques covered in the classes. What more? This course is divided into sections along with small assessments or questions which makes it easier to follow along. You must complete all the graded assessments and exercises to earn the completion certificate.

 

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

Platform: Udemy

Course Duration: 11 hours

This certification will help you to break through into the world of artificial intelligence and build amazing apps by leveraging the latest technology. In this course, you can explore the methodologies, basic concepts before and processes, applying them in practice. This is a crowd puller course with 20,000+ students and stellar ratings. The instructors are renowned experts and explain the concepts using a wide variety of examples that help to get a clearer view of the topics. The course is spread across 78 Lectures + 7 Articles + 5 Downloadable resources and offers a full lifetime access to the user.

No Comments so far

Jump into a conversation

No Comments Yet!

You can be the one to start a conversation.

Your data will be safe!Your e-mail address will not be published. Also other data will not be shared with third person.