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Computer vision courses

186 Courses

California Institute of Technology Udacity

Introduction to Self-Driving Cars

Introduction to Self-Driving Cars | Udacity Discover how to build a self-driving car with this comprehensive course from Udacity. Covering essential topics such as probability, C++, machine learning, and linear algebra, this course equips you with the knowledge needed to excel in the field of autonomous vehicles. Categories.
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California Institute of Technology Udacity

AI for Trading

AI for Trading | Udacity Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio. University: Provider: Udacity Categories: Artificial Intelligence Courses Python Courses Machine Learning Courses.
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California Institute of Technology Udacity

Self Driving Car Engineer

Self Driving Car Engineer Work on the future of autonomous vehicles and help make the self-driving car revolution a reality! University: Provider: Udacity Categories: Machine Learning Courses, Computer Vision Courses, Deep Learning Courses, Autonomous Vehicles Courses, Kalman Filter Courses, Image Processing Courses, Localization Courses, PID C.
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California Institute of Technology Udacity

Intel® Edge AI for IoT Developers

70% of data being created is at the edge, and only half of that will go to the public cloud; the rest will be stored and processed at the edge, which requires a different kind of developer. Demand for professionals with Edge AI skills will be immense, as the Edge Artificial Intelligence (AI) software market size is forecasted to grow from $355.
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California Institute of Technology A Cloud Guru

AI-900: Microsoft Certified Azure AI Fundamentals

Welcome to AI-900: Microsoft Certified Azure AI Fundamentals offered by A Cloud Guru! This course is tailored for individuals eager to delve into the world of artificial intelligence using Azure. Whether you're preparing for the AI-900 certification exam or just want to enhance your knowledge, this course is perfect for you. We'll cover key topics.
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provider A Cloud Guru
pricing Free Trial Available
duration 15 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 : Computer Vision Beginner to Advanced Pytorch

Embark on a transformative journey from novice to expert in the realm of computer vision with our comprehensive course, available on Udemy. Deepen your understanding of Convolutional Neural Networks (CNNs) and harness the power of Deep Learning using PyTorch and Python. This meticulously designed curriculum is tailored to infuse you with advanced s.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Google Cloud Skills Boost

Introduction to Computer Vision with TensorFlow

Join our cutting-edge lab, "Introduction to Computer Vision with TensorFlow," presented by Google Cloud Skills Boost. This interactive session is designed for participants to build their own computer vision model, capable of identifying various clothing items. Dive deep into the intricacies of model training and discover the factors that influence.
provider Google Cloud Skills Boost
pricing Paid Course
duration 1 hour
sessions On-Demand
California Institute of Technology AWS Skill Builder

AWS Panorama - Building Edge Computer Vision (CV) Applications

AWS Panorama: Empowering Edge CV Application Development Leverage the power of AWS Panorama to integrate computer vision into your existing on-premises camera network. Discover how to utilize AWS Panorama by installing an appliance or compatible device within your data center, seamlessly registering it with AWS Panorama, and effectively deploying c.
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provider AWS Skill Builder
pricing Free Certificate
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Landing.AI for Beginners: Build Data Visualization AI Models

Embark on a journey into the realms of Computer Vision and Generative AI with the "Landing.AI for Beginners: Build Data Visualization AI Models" course. This 1-hour project-based course, available on Coursera, is your gateway to mastering the innovative LandingLens platform. You'll begin with the basics of visual prompting and swiftly move to proje.
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provider Coursera
pricing Paid Course
duration 1-2 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!