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Computer vision courses

159 Courses

California Institute of Technology Pluralsight

Computer Vision Fundamentals with Google Cloud

Explore the realm of computer vision and machine learning with the "Computer Vision Fundamentals with Google Cloud" course, offered through Pluralsight. This course delves into various computer vision applications and presents a comprehensive overview of machine learning strategies designed to tackle these scenarios. Participants will learn how to.
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provider Pluralsight
pricing Free Trial Available
duration 3 hours 8 minutes
sessions On-Demand
California Institute of Technology Coursera  Specialization

Computer Vision for Engineering and Science

Explore the forefront of technology with our Computer Vision for Engineering and Science specialization. Cameras play a pivotal role in an array of innovative technologies, from aiding autonomous systems in environment navigation to assisting surgeons with minimally invasive procedures. Mastering computer vision techniques is crucial for engineers.
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provider Coursera  Specialization
pricing Paid Course
duration 13 weeks, 3 hours a week
California Institute of Technology Udemy

Computer Vision: Python OCR & Object Detection Quick Starter

Embark on a journey to mastering Computer Vision with our comprehensive online course, "Computer Vision: Python OCR & Object Detection Quick Starter," offered exclusively on Udemy. This course is meticulously structured for beginners and professionals alike, aiming to impart essential skills in Optical Character Recognition (OCR), Image Recognition.
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand
California Institute of Technology Udemy

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!

Title: Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024! Description: Dive into the future of computer vision technology in 2024! Join this cutting-edge course offered by Udemy, which covers Next-Gen Computer Vision including YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models, and Transformers. Perfect for stud.
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provider Udemy
pricing Paid Course
duration 1 day 4 hours 25 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Build an Object Detection Model with Python

Discover the power of object detection and its vast applications from home to industrial settings with our comprehensive course, "Build an Object Detection Model with Python". Offered by Pluralsight, this course dives deep into the realm of artificial intelligence, specifically focusing on machine learning, computer vision, and object detection. Wh.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 13 minutes
sessions On-Demand
California Institute of Technology Udemy

Computer Vision with Python

Embark on a journey to master the art of Computer Vision using Python with our comprehensive course, now available on Udemy! This course is designed for individuals keen on exploring the dynamic field of computer vision. Delve into the world of OpenCV and unlock the secrets behind processing and interpreting visual data with Python. Whether you're.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand
California Institute of Technology Pluralsight

Getting Started with Microsoft Azure Computer Vision API

Discover the power of Microsoft Azure's Computer Vision service with our comprehensive course, offered through Pluralsight. This engaging program is designed to equip you with the knowledge and skills to apply advanced image processing algorithms within your organization. With Azure Computer Vision, you have the ability to process images and extrac.
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provider Pluralsight
pricing Free Trial Available
duration 47 minutes
sessions On-Demand
California Institute of Technology Udemy

Computer Vision For iOS Developers Course

Discover the power of Computer Vision for iOS applications with our comprehensive course offered by Udemy. This specialized training is designed for iOS Developers eager to advance their skills in Object Detection and Semantic Segmentation models. Learn the essentials of training these models specifically for mobile applications and seamlessly inte.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Building a Face Detection and Recognition Model From Scratch

Discover how to create your own Face Detection and Recognition Model with our comprehensive course. This online class, offered through Udemy, blends the intricate concepts of Machine Learning and Computer Vision, providing you with the skills needed to excel in this cutting-edge field. Whether you're interested in Python, Machine Learning, Computer.
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provider Udemy
pricing Paid Course
duration 1 hour 12 minutes
sessions On-Demand
California Institute of Technology Udemy

Deep Learning: Convolutional Neural Networks for developers

Embark on a transformative learning journey with "Deep Learning: Convolutional Neural Networks for Developers," offered by Udemy. This meticulously designed course caters specifically to developers eager to master Deep Learning, with a concentrated focus on the intricacies of Convolutional Neural Networks (CNN) architectures. Whether you're looking.
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provider Udemy
pricing Paid Course
duration 2-3 hours
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!