5 Best Computer Vision Courses [2018 – 2019] [UPDATED]

best computer vision course class certification training online

20+ Experts have compiled this list of Best Computer Vision Course, Tutorial, Training, Class, and Certification available online for 2018 – 2019. It includes both paid and free resources to help you learn Computer Vision and these courses are suitable for beginners, intermediate learners as well as experts.


5 Best Computer Vision Courses, Certification & Training Online [2018 – 2019] [UPDATED]


1. Deep Learning: Advanced Computer Vision (Udemy)

If you stay in the loop with the news of technological advancements then I am sure that you must have heard about the ways in which computer vision is reaching new heights. If you have the knowledge to build, train and use a CNN as well as thorough python knowledge then this course can come in handy to help you to jump-start a career in this field.  Learn how to create an object detection system that il be able to classify images, locate the object and predict its label. Work with state of the art algorithm SSD that will help you to achieve the goal faster and accurately.
Key USPs –

– All the topics are covered from the very beginning including the setup of necessary tools.

– A number of exercises to check your grasp on the concepts cover and overcome your queries.

– Each topic is covered in an elaborate manner with proper examples and demonstration.

– All the code used in the program can be downloaded from the GitHub of the instructor.

– 67 Lectures + Full lifetime access

– Available at affordable pricing on e-learning platform Udemy.


Duration: 7 hours

Rating: 4.7 out of 5

You can Sign up Here


Review : Great explanations. Good hands on coding exercise. Lazy programmer’s courses are great starting points to learn about the latest techniques available in several areas of ML. -Siddhartha Banerjee



2. Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs (Udemy)

This certification will help you to break through into the world of artificial intelligence and build amazing apps by leveraging the latest technology. Explore the processes, methodologies and basic concepts before applying them in practice. Knowledge of high school mathematics and basic python is enough to enroll in this lesson. With 20,000+ students and stellar ratings, this program is a crowd favorite.


Key USPs-

– Have a toolbox of the most powerful computer vision models.

– Master OpenCV, facial recognition and object detection.

– The instructor is a renowned expert in this area and explains the ideas well and at a good pace.

– A wide variety of examples helps you to get a clearer view of the topics.

–  Understand the theory behind the topics and create powerful applications.

– 78 Lectures + 7 Articles + 5 Downloadable resources + Full lifetime access


Duration: 11 hours

Rating: 4.4 out of 5

You can Sign up Here 


Review : I really like that Kirill makes it so easy to understand, and then provides the links for us to read further if we want to. Being very interested in AI, I usually use these links! Also, Hadelin always explains his code, which makes understanding the coding easier. -Hans Arjun Gunnoo



3. Python Project: Pillow, Tesseract, OpenCV by University of Michigan (Coursera)

This intermediate level program is designed by the Universty of Michigan to get a strong footing in the area of computer vision. 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. By the end of the journey, you will have the experience of working with three different libraries to create a real-world data science project.   


Key USPs-

– Work with the imaging library and perform cropping, resizing, recoloring and overlaying text.

– The complete set of lectures are broken into appropriate sections which makes it easy for the students to follow.

– The instructor explains all the concepts in a simple yet concise manner.

– Detect faces in images as well as crop and manipulate them into contact sheets.

– Pass the graded assessments to earn the certification as well as take the opportunity to complete the project.

– Flexible deadlines allow you to take the classes as per your convenience.


Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here



4. Computer Vision and Image Analysis (edX)

In this hands-on the certification you will explore interesting topics such as image analysis techniques using Microsoft Cognitive Toolkit and OpenCV to segment images into meaningful parts. Understand the evolution of this area from the classical to deep learning techniques. By the end of the lectures, you will have the confidence to take on projects in relevant areas as well as take your skills a notch higher.


Key USPs-

– Working knowledge of python, AI and Deep Learning fundamentals is required.

– Apply Transfer Learning to augment ResNet18 for a Fully Convolutional Network for semantic segmentation.

– Implement the classical image analysis algorithms using the OpenCV library.

– The real-world examples make the lectures much more interesting and clear.

– Cover topics like edge detection, watershed, distance transformation among others.

– Plenty of assignments to practice the concepts covered in the lectures.

– The course material can be accessed for free and the certification can be added for an added amount.


Duration: 1 course, 4 weeks  per course, 3 to 4 hours per week

Rating: 4.5 out of 5

You can Sign up Here 



5. Introduction to Computer Vision by Georgia Tech (Udacity)

This program by Georgia Tech is one of the top contenders among the e-learning options in this field. Commence from the fundamentals of image formation, camera imaging geometry, feature detection, and matching, motion estimation before moving on to the practical classes. In the hands-on sessions, you will develop basic methods for applications that include finding known models in images, depth recovery from the stereo, calibration, stabilization, automated alignment, and tracking. With a focus on every important aspect of the topic, this certification doesn’t let you down.


Key USPs-

– Develop intuitions and mathematics of the methods covered in the lectures.

– Learn about the difference between theory and practice in the problem sets.

– Attempt the interactive quizzes to measure your grasp on the concepts.

– Self-paced lessons let you study as per your convenience.

– Implement the concepts covered in the lectures and enhance your resume.

– Join the student support community, interact with your peers and clarify your doubts.

– The complete study materials and videos are available for free.


Duration: 4 months

Rating: 4.5 out of 5

You can Sign up Here 


So these were the 5 Best Cloud Computing Tutorial, Class, Course, Training & Certification available online for 2018. Hope you found what you were looking for. Wish you a Happy Learning!