Join

Computer vision courses

186 Courses

California Institute of Technology Udemy

PyTorch for Deep Learning and Computer Vision

Event Title: PyTorch for Deep Learning and Computer Vision Join us for a comprehensive course provided by Udemy, focusing on using PyTorch to build advanced deep learning and computer vision applications. Master the intricacies of neural networks, Python programming, and AI technologies in an engaging learning pathway. This event is ideal for indiv.
course image
provider Udemy
pricing Paid Course
duration 14 hours 14 minutes
sessions On-Demand
California Institute of Technology Udemy

Android App Development with Machine Learning

Course Title: Android App Development with Machine Learning Description: Dive into the future of app creation with our course on Android App Development integrated with Machine Learning. Offered by Udemy, this curriculum is designed around hands-on projects that will guide you through integrating ML technologies into Android applications. Enhance y.
course image
provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning

Exam Tips: Microsoft Azure AI Fundamentals (AI-900)

Title: Exam Tips: Microsoft Azure AI Fundamentals (AI-900) Description: Dive into the Microsoft Azure AI Fundamentals (AI-900) certification exam with LinkedIn Learning. This course will cover all necessary topics including cognitive services, machine learning, image analysis, and natural language processing to help you grasp the full capabilities.
course image
provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Pluralsight

Microsoft Azure Cognitive Services: Custom Vision API

Title: Microsoft Azure Cognitive Services: Custom Vision API Description: Dive into the world of AI with our course on Microsoft Azure Cognitive Services: Custom Vision API. This course offers a comprehensive guide to using the Custom Vision Service, a robust machine learning algorithm tailored for image classification. Hosted on Microsoft Azure, t.
course image
provider Pluralsight
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Automated Machine Learning for Beginners (Google & Apple)

Automated Machine Learning for Beginners (Google & Apple) Embark on your journey to mastering AI with our comprehensive beginner's course on Automated Machine Learning, offered via Udemy. This meticulously designed course caters to enthusiasts eager to delve into AI aspects like Computer Vision, Natural Language Processing (NLP), and handling Tabul.
course image
provider Udemy
pricing Paid Course
duration 3 hours 35 minutes
sessions On-Demand
California Institute of Technology Udemy

AI-900 Microsoft Azure AI Fundamentals Certification

AI-900 Microsoft Azure AI Fundamentals Certification Preparation Course Explore the realms of artificial intelligence with the AI-900 Microsoft Azure AI Fundamentals Preparation Course, offered by Udemy. This course is specifically designed to help learners prepare for the AI-900 Microsoft Azure AI Fundamentals Certification. Covering crucial topic.
course image
provider Udemy
pricing Paid Course
duration 4 hours 35 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Getting Started with OpenCV in .NET

Getting Started with OpenCV in .NET In this course, you will become familiar with the OpenCV computer vision open source library. We will demonstrate proper usage under .NET and will write samples of common image processing tasks. The course will focus on getting you started with OpenCV and will give you the tools for further self-exploration of.
course image
California Institute of Technology Delft University of Technology

AI in Architectural Design

AI in Architectural Design Are you navigating through the maze of AI discussions in everyday conversations? Do you feel overwhelmed and find it challenging to keep up with the constant flow of AI news? Or perhaps you are enthusiastic about AI and its transformative power in design practices. This course will shed light on the science behind the.
course image
provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-4 hours a week
sessions On-Demand
California Institute of Technology Coursera

Réseaux neuronaux et Deep Learning

Vous souhaitez vous lancer dans l’IA de pointe ? Ce cours est là pour vous y aider. Les ingénieurs en Deep Learning sont très convoités et la maîtrise de ce domaine vous ouvrira de nombreuses opportunités professionnelles. Le Deep Learning est également un nouveau « superpouvoir » qui vous permettra de développer des systèmes d’IA qui n’étaient.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Computer Vision with GluonCV (German)

In diesem Kurs erhalten Sie ein nützliches Verständnis der Komponenten eines konvolutionalen neuronalen Netzwerks (Convolutional Neural Network – CNN) wie Konvolutionen und Pooling-Ebenen usw. In diesem Kurs zeigen Alex Smola und Tong He, wie man einige Computer-Vision-Techniken mit GluonCV, einem Computer-Vision-Toolkit, implementiert. Hinweis.
course image
provider AWS Skill Builder
pricing Free Certificate
duration 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!