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Computer vision courses

326 Courses

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California Institute of Technology Udemy

Master Computer Vision™ OpenCV4 in Python with Deep Learning

``` Become an expert in computer vision with the Master Computer Vision™ OpenCV4 in Python with Deep Learning course. This comprehensive course, available on Udemy, covers not just OpenCV4 but also introduces you to Dlib, and deep learning applications in computer vision utilizing Keras, TensorFlow, and Caffe. Embark on a learning journey with 21 p.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Deep Learning and Computer Vision A-Z + AI & ChatGPT Prizes

Title: Deep Learning and Computer Vision A-Z + AI & ChatGPT Prizes Description: Embark on a magical journey towards mastering the forefront of computer vision technologies. This comprehensive course, offered through Udemy, equips you to detect virtually anything while empowering you to design impactful applications. Dive into a world where arti.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Computer Vision In Python! Face Detection & Image Processing

Embark on a journey to master computer vision with our comprehensive course offered on Udemy, titled "Computer Vision In Python! Face Detection & Image Processing." This course is designed to provide an in-depth understanding of computer vision using OpenCV and Python. Students will gain hands-on experience in implementing facial recognition and im.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Automated Multiple Face Recognition AI Using Python

Discover the power of Python in facial recognition technology with our comprehensive course on Udemy. This course covers everything from the fundamentals of OpenCV to the intricacies of recognizing faces in images and automating the face recognition process through user inputs. Ideal for students and professionals alike, this course is categorized.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Computer Vision Masterclass

Join the Computer Vision Masterclass on Udemy and dive deep into the world of computer vision. This comprehensive course is designed to take you through the essentials and advanced concepts of computer vision, enabling you to build hands-on projects using Python. Whether you're interested in neural networks, transfer learning, or the fundamentals o.
provider Udemy
sessions On-Demand
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California Institute of Technology Skillshare

Computer Vision 101: Let's Build a Face Swapper in Python

Embark on a journey into the fascinating world of computer vision with our engaging course, "Computer Vision 101: Let's Build a Face Swapper in Python." Designed for beginners with some basic knowledge of machine learning and coding, this course demystifies the process behind the whimsical face swap effect, akin to the popular Snapchat filters. By.
provider Skillshare
sessions On-Demand
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California Institute of Technology FutureLearn  ExpertTrack

Advanced and Applied AI on Microsoft Azure

Embark on a journey to master machine learning and artificial intelligence with Advanced and Applied AI on Microsoft Azure. This comprehensive course, brought to you by FutureLearn & ExpertTrack, is designed for those eager to deepen their knowledge in modern AI technologies using the power of Microsoft Azure, combined with the versatility of P.
provider FutureLearn  ExpertTrack
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California Institute of Technology Treehouse

Introduction to Computer Vision Course (How To) | Treehouse

Delve into the world of Computer Vision (CV), a pivotal branch of Artificial Intelligence that empowers machines to understand and act upon visual data. This course, offered by Treehouse, covers the essential bases from the inception of Computer Vision to its practical applications and the core principles that fuel its progress.In this comprehensiv.
provider Treehouse
sessions On-Demand
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California Institute of Technology Treehouse

Introduction to Computer Vision Course

Discover the power of visual data interpretation with our Introduction to Computer Vision Course, brought to you by Treehouse. Computer Vision (CV), a crucial subfield of Artificial Intelligence (AI), is focused on enabling machines to understand and act upon visual data. This course will take you through the history, core applications, and the ess.
provider Treehouse
sessions On-Demand
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California Institute of Technology Coursera

Computer Vision - Image Basics with OpenCV and Python

Discover the world of Computer Vision with our engaging and practical course, "Computer Vision - Image Basics with OpenCV and Python," available exclusively on Coursera. This project-based course, designed to last just an hour, offers a hands-on experience in performing Computer Vision tasks on images using the powerful tools of OpenCV and Python w.
provider Coursera
sessions On-Demand

“Computer vision student” sounds like a quote from science fiction, don’t you think? In fact, a computer vision engineer is a profession that, although it has not yet become the most widespread, is already rapidly gaining popularity and offers high salaries even at the start of a career.

What is computer vision and what does its developer do?

A computer vision engineer is a specialist who teaches computers to extract information from images. In particular, automatically recognize objects or gestures in images and videos. If a person can visually determine something (for example, find a defect in a product), a computer can also be trained to do this - and thus save time and resources, simplifying many processes.

Developments in the field of computer vision courses are used in a wide variety of companies whose products are related to images or video. This includes the production of self-driving cars, helping doctors interpret MRI images when searching for tumors, and even facial recognition in the subway to identify violators of the self-isolation regime. Computer vision specialists help many e-commerce businesses reduce the burden of moderation: for example, when an ad service like Avito fights trolls who upload pictures with inappropriate content.

Computer vision specialists after computer vision courses are called differently: developers, engineers, and researchers (computer vision scientist). Essentially, a computer vision specialist is more of an engineer who uses mathematics and programming as working tools. So, globally, a computer vision engineer, a computer vision scientist, a computer vision developer and a technical vision developer are one and the same thing.

What does a computer vision developer actually do?

As a rule, the day of such a specialist begins with a stand-up with the team. He then writes code to train neural networks, preprocesses data, and analyzes experiments. A computer vision developer can work alone or in a team, where everyone performs part of a larger task.

As for working tools, the Python language is usually used to write code for experiments, and the Tensorflow or Pytorch frameworks are used to train neural networks. The work also involves special libraries for image processing such as OpenCV. For high-load projects, the C++ language can also be used, since anything written in it is executed many times faster.

Computer vision is a young, dynamically developing field at the intersection of science and engineering, in which there are still more experiments than ready-made solutions. To grow, a specialist here needs to constantly learn. But it is the novelty and non-standard nature of the tasks, as well as the opportunity to create something truly innovative, that brings many people into this profession.

What do they teach in computer vision classes at AI Education?

Training at the best computer vision course typically consists of three modules: creating infrastructure, basics of machine learning and studying computer vision.

The first block at a computer vision online course can be called introductory. Since specialists in the field of computer vision rely on knowledge of mathematics and programming when solving problems, at the start they will have to study from scratch or brush up on topics from higher mathematics, mathematical analysis and linear algebra, as well as work with the Python language. Don’t worry if your knowledge is limited to school mathematics, which was “long ago and not true”: we will help you improve the necessary topics in the first module, so that in the future all students can move through the program at the same rhythm.

The second module is entirely devoted to machine learning. It helps solve computer vision problems faster and easier. For example, for facial recognition, you can expertly describe facial features based on questions that are asked when compiling an identikit. Or you can feed the algorithm a lot of photographic portraits with markings about which face belongs to whom, and then the algorithm itself will learn to extract features by which faces can be identified. In the future, if you need to determine who is in the photo, the algorithm will only need a database of portraits. If there is a photo of the person you need, the system itself will easily find him.

In the second module you will examine probability theory and mathematical statistics. Students will practice solving problems using fundamental algorithms and data structures in Python, become familiar with Python libraries for Data Science (NumPy, Matplotlib), as well as machine learning algorithms.

Finally, in the third module at this machine vision course you will analyze the main tasks of computer vision, we will work with mathematical morphology and the OpenCV and PIL libraries!