Explore
Browse by Domains
Browse by Degrees
Popular Programs
PG Program in Artificial Intelligence and Machine Learning
6 Months Online Weekend
Applied Data Science Program
12 Weeks Live Virtual Weekdays & Weekend
No Code AI and Machine Learning: Building Data Science Solutions
12 Weeks Online Weekend
PG Program in Data Science and Business Analytics
MIT Data Science and Machine Learning Program
12 weeks Online Weekend
PG Program in Cloud Computing
6 months Online Weekend
Data Science & Business Analytics
Master of Data Science (Global) Program
24 Months Online
Data Analytics Essentials
15 week Online
MS in Data Science Programme
18 months Online
DP-100 - Microsoft Azure Data Scientist Associate Certification Training Program
8 Weeks Online
PL-300 - Microsoft Power BI Data Analyst Certification Training Program
6 Weeks Online
Artificial Intelligence & Machine Learning
PG Program in Artificial Intelligence for Leaders
4 Months Online Weekend
MS in Information Science: Machine Learning
2 Years Online/Hybrid
Generative AI for Business with Microsoft Azure Open AI Program
10 Weeks Online
Microsoft Programs
AZ-900 - Microsoft Azure Fundamentals Training Program
AZ-104 - Microsoft Azure Administrator Training Course
Management
Advanced Digital Marketing and Growth Strategies
12 Weeks Online
NUS Business School Future Leaders Programme
Executive PG Program in Management
12 months Online Weekend
PGP in Strategic Digital Marketing
Cloud Computing
Cyber Security
Post Graduate Program in Cyber Security
16 weeks Online
CompTIA Security+ Bootcamp
6 weeks Online
Software Development
Professional Certificate in Full Stack Software Development: Building Scalable Cloud Applications
6 Months Online
Digital Marketing
Design Thinking
Design Thinking: From Insights to Viability
14 Weeks Online Weekend
Post Graduate Program in User Experience Design
Study Abroad
2 Years Hybrid
MBA
Masters
Know more about
Data Science and Business Analytics
17 programs 48% avg. salary hike
AI & Machine Learning
12 programs 48% avg. salary hike
3 programs 48% avg. salary hike
4 programs 48% avg. salary hike
7 programs 48% avg. salary hike
2 programs 48% avg. salary hike
MBA Courses
1 programs 48% avg. salary hike
Study Abroad Programs
1 programs Earn about 150K USD (in US)
Study in US Programs
Quick Links
GL Excelerate
Get the desired career support
Webinar on Demand
Watch the on-demand webinars
What is your work experience?
This will help us recommend the best programs for you.
Currently in college
0-3 yrs experience
3-8 yrs experience
8+ yrs experience
College Students
Start your career on the right foot, with curated programs, job platforms, and postgraduate programs.
Gain skills in 3-12 months to accelerate career growth and land your first job
GL Live Sessions
Online sessions with industry experts
EXPLORE
Career Path
200+ in-demand careers
Learn for Free
An easy way to get started on your career path with us.
Academy
Get certified with 1000+ Free Courses
START FOR FREE
These comprehensive courses introduce you to the principles of computer vision and its applications. Understand object tracking, image segmentation, feature detection and matching, and deep learning-based techniques like Convolutional Neural Networks (CNNs). Comprehend image processing to recognition and the underlying concepts of computer vision through extensive hands-on exposure. The objective of these courses is to provide you with the skills and competencies required for a successful career in Computer Vision.
EXPLORE OUR COURSES
Here is the list of courses that includes crucial concepts of Computer Vision that help shape your career:
LEARN MORE
Deakin University
24 Months · Online
MIT Professional Education
12 Weeks · Online · Weekend
We are allocating a suitable domain expert to help you out with program details. Expect to receive a call in the next 4 hours.
Computer vision is a field of Artificial Intelligence that focuses on training computers to interpret, understand and process digital images and videos. It is an interdisciplinary science that combines topics from Mathematics, Physics, and Computing to enable machines to detect and analyze information in images automatically. This technology is utilized in various applications, such as driverless cars and robotic vision, medical diagnosis, facial recognition, and surveillance, among others.
Computer vision has become an integral part of modern technology, and numerous components are needed to make it work. These components can be separated into three categories: algorithms and models, data representations, and software and hardware. Let’s look at each of these components for further detail.
Algorithms and models are the core of computer vision. Algorithms are mathematical calculations that help computers detect and interpret the features of the images they’re processing. Convolutional neural networks are some of computer vision's most commonly used algorithms. Models are also used to make computer vision systems better.
The data must be represented in a way the computer can understand for computer vision to make sense of images. This is accomplished using several data representations. For example, images can be represented as vectors, matrices, and tensors. Additionally, data representations can also be used to compress the image to make it easier to process and store the image data in memory.
Software is essential to computer vision, as it provides instructions to the hardware components. The computer can process the images and interpret the data using a robust software suite. The software also includes the camera drivers, which manage the connection between the cameras and the computer.
On the hardware end, computers need cameras to capture the images that the computer can interpret. Also, processors are needed to quickly process the data and specialized hardware such as GPUs for more complex tasks.
Thus, computer vision involves many components and elements. Algorithms and models provide instructions for how the computer interprets the images. Data representations provide the data, and software and hardware provide the tools to process the data. With all of these components working in unison, computer vision is able to provide amazing insights into the world around us.
Computer vision technology is revolutionizing the way we interact with our world. This powerful technology is responsible for a wide range of applications, from autonomous vehicles to medical diagnostics.
The field of computer vision, which is still in its infancy within the science of Artificial Intelligence, has the power to alter how we interact with the physical world fundamentally. A computer vision course allows learners to understand this technology comprehensively, which has applications in a wide range of industries, from medical imaging and robotics to security and search engines. Here are some of the benefits of taking a computer vision course:
A computer vision course equips learners with the foundational knowledge essential to advance their understanding of this crucial area. From basic concepts such as image processing and pattern recognition to more advanced matters such as deep learning and object detection, a good course covers the breadth of computer vision research. Students will gain a deep understanding of the principles behind computer vision, enabling them to apply it to real-world problems.
Computer vision technology is constantly evolving. A computer vision course can provide a way for learners to stay ahead of the curve and explore the latest advancements. In this way, learners get to experience first-hand the potential of computer vision and are prepared for the future.
A computer vision course provides an opportunity for learners to practice the concepts they learn and gain valuable experience in the field. Learners will have the opportunity to use popular computer vision libraries such as OpenCV and be able to build their own computer vision projects. This will provide a valuable glimpse into the exciting world of computer vision.
A comprehensive computer vision course is an excellent way to gain knowledge and experience in this field and to determine whether it is something you would like to pursue further. Interested in learning about computer vision? Great Learning’s computer vision courses can provide you with a wealth of knowledge and hands-on experience that could be helpful for your career.
Computer Vision is an essential field of study in robotics and artificial intelligence. It is a valuable skill, as it can help with various tasks, from automated medical diagnosis to facial recognition. Learning Computer Vision can help you develop a better understanding of how machines "see" the world and how to create algorithms that help them interpret visual data. Computer Vision also has wide-ranging applications such as autonomous vehicles, security systems, and virtual reality.
Job roles include:
These are the popular PG courses to learn Computer Vision:
Here is the list of universities and programs that teach Computer Vision in their curriculum:
Here is the course list and fee details of the courses offering Computer Vision,
PG Programs
Program Fee Details
PGP - Artificial Intelligence for Leaders
INR 1,70,000 + GST
USD 7800
PGP - Artificial Intelligence & Machine Learning
INR 2,50,000 + GST
Applications of AI Program
INR 35,000
INR 3,35,000
No Code AI and Machine Learning
USD 2500
Note: Please refer to the Fee Section on the program page for the updated fee details.
Here are the duration details of the Computer Vision courses,
Program Duration Details
4 Months
24 Months
12 Months
3 Months
12 Months Classroom Program
You can explore free Computer Vision courses on Great Learning Academy.
Free Courses: Introduction to Computer Vision, Computer Vision Essentials, Computer Vision Projects.
Enter your registered email and we'll send you a link to change your password.