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Computer vision courses

248 Courses

California Institute of Technology Udemy

Python for Computer Vision with OpenCV and Deep Learning

Discover cutting-edge strategies in computer vision utilizing Python, OpenCV, and Deep Learning with our comprehensive course provided by Udemy. This tutorial is essential for those looking to stay ahead in fields such as Python programming, computer vision, deep learning, and more, including specialization in NumPy, OpenCV, image segmentation, and.
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provider Udemy
pricing Paid Course
duration 14 hours 5 minutes
sessions On-Demand
California Institute of Technology Udemy

Learn Computer Vision with OpenCV Library using Python

Unlock the potential of computer vision with our comprehensive course on OpenCV using Python. Hosted on Udemy, this unique training opportunity is perfect for those interested in delving into the realms of Python programming, computer vision, and image processing. By enrolling in our course, you'll gain hands-on experience in constructing a sophist.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning: Convolutional Neural Networks in Python

Unlock the power of Deep Learning with our comprehensive course on Convolutional Neural Networks (CNNs) in Python, brought to you by Udemy. Dive deep into advanced techniques and apply them to a variety of fields including Computer Vision and Natural Language Processing (NLP). Whether you're focused on Data Science or Machine Learning, this course,.
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provider Udemy
pricing Paid Course
duration 13 hours 24 minutes
sessions On-Demand
California Institute of Technology Coursera

Recognizing Shapes in Images with OpenCV

Title: Recognizing Shapes in Images with OpenCV Description: Dive into the world of computer vision with this comprehensive 1.5-hour project-based course, where you'll harness the power of image processing techniques to identify shapes using Hough transforms. Perfect for enthusiasts eager to delve into real-world applications, this course equips yo.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

OpenCV Python For Beginners | Hands on Computer Vision

Join Our OpenCV Python Course for Beginners: Dive into Computer Vision! Unlock the world of computer vision with our comprehensive course designed for beginners on Udemy. Gain hands-on experience through practical examples that seamlessly blend OpenCV and Python. This course, tailored for novices, introduces you to the powerful world of computer vi.
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provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

AI Engineer using Microsoft Azure

The AI Engineer using Microsoft Azure Nanodegree program, offered in partnership with Udacity, aims to arm learners with the essential expertise to pursue careers as Azure AI engineers or AI engineers specializing in Azure's AI and machine learning capabilities. This comprehensive program covers the implementation of machine learning models, the de.
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provider Udacity  Nanodegree
pricing Paid Course
duration 13 weeks, 5-10 hours a week
California Institute of Technology Udemy

OpenCV and Java: Build a Webcam Biofeedback Game

Join our groundbreaking course, "OpenCV and Java: Build a Webcam Biofeedback Game," available exclusively on Udemy. Dive into the fascinating world of game development with a unique twist - integrating biofeedback via a webcam. This course is perfect for enthusiasts and professionals alike, keen on exploring the realms of Computer Vision, Game Deve.
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provider Udemy
pricing Paid Course
duration 4 hours 1 minute
sessions On-Demand
California Institute of Technology Udemy

Computer Vision: Face Recognition Quick Starter in Python

Jumpstart your Python journey with our comprehensive course on Computer Vision: Face Recognition Quick Starter in Python, offered exclusively through Udemy. Delve into the fascinating world of deep learning as you master face detection, recognition, along with emotion, gender, and age classification. This course is meticulously designed to incorpor.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand
California Institute of Technology Udemy

Train YOLO for Object Detection with Custom Data

Discover how to create a personalized object detection system with our comprehensive course on Udemy: "Train YOLO for Object Detection with Custom Data." Dive deep into the world of computer vision, mastering both YOLOv3 and YOLOv4 techniques. This course is designed for those looking to enhance their skills in computer vision, deep learning, objec.
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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand
California Institute of Technology Udemy

YOLOv4 Object Detection Course

Discover the cutting-edge capabilities of object detection with our comprehensive YOLOv4 Course on Udemy. This expertly designed course will take you through the steps of implementing and training YOLOv4 for robust object detection. Whether you're passionate about artificial intelligence, fluent in Python, interested in enhancing your computer visi.
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provider Udemy
pricing Paid Course
duration 6 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!