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Computer vision courses

248 Courses

California Institute of Technology Columbia University

First Principles of Computer Vision

Title: First Principles of Computer Vision Description: Dive into the world of computer vision with Columbia University's groundbreaking course on Coursera. This specialization offers the first comprehensive treatment on the foundations of computer vision, emphasizing the mathematical and physical bases. Designed for learners at all levels, from be.
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provider Coursera  Specialization
pricing Paid Course
duration 30 weeks, 2 hours a week
California Institute of Technology Udemy

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Discover the transformative power of deep learning and artificial intelligence with the comprehensive online course on Tensorflow 2.0, available on Udemy. This course is meticulously designed to equip learners with the knowledge and skills to excel in various AI domains, including Computer Vision, Time Series Analysis, Natural Language Processing (.
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provider Udemy
pricing Paid Course
duration 23 hours 20 minutes
sessions On-Demand
California Institute of Technology Udemy

PyTorch: Deep Learning and Artificial Intelligence

Unlock the full potential of Deep Learning and Artificial Intelligence with our comprehensive PyTorch course on Udemy, designed for learners at all levels, from beginners to experts. Dive into various facets of AI, including Neural Networks for Computer Vision, Time Series Forecasting, Natural Language Processing (NLP), Generative Adversarial Netwo.
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provider Udemy
pricing Paid Course
duration 24 hours
sessions On-Demand
California Institute of Technology Udemy

AI-900: Microsoft Azure Artificial Intelligence Fundamentals

Discover the fundamentals of Azure Artificial Intelligence and prepare for certification with the AI-900: Microsoft Azure Artificial Intelligence Fundamentals course, exclusively on Udemy. This comprehensive course, designed for both beginners and professionals, provides an in-depth overview of key Artificial Intelligence concepts. With engaging de.
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provider Udemy
pricing Paid Course
duration 3 hours 51 minutes
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

Computer Vision

``` Unlock the future of robotics and automation with our comprehensive Computer Vision course, offered in collaboration with Udacity. This Nanodegree program is designed to equip you with the essential computer vision skills necessary to revolutionize industries. Dive deep into programming techniques to analyze and interpret images, master feature.
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provider Udacity  Nanodegree
pricing Paid Course
duration 13 weeks, 10-15 hours a week
California Institute of Technology Arizona State University

Post Graduate Certificate in Advanced Machine Learning & AI

Title: Post Graduate Certificate in Advanced Machine Learning & AI Description: Step into the future with Arizona State University's Post Graduate Certificate in Advanced Machine Learning & AI, offered through Coursera. This six-month comprehensive program is designed to catapult your career into the realms of Artificial Intelligence (AI) and Deep.
provider Coursera  Degree
pricing Paid Course
duration 24 weeks, 6-8 hours a week
California Institute of Technology Udacity  Nanodegree

Self Driving Car Engineer

Embark on a transformative journey into the world of autonomous vehicles with the Self Driving Car Engineer Nanodegree, offered by Udacity. This comprehensive program is designed for those eager to shape the future of transportation, focusing on key areas such as Machine Learning, Computer Vision, Deep Learning, Autonomous Vehicles, and Kalman Filt.
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provider Udacity  Nanodegree
pricing Paid Course
duration 21 weeks, 10 hours a week
California Institute of Technology University of Colorado Boulder

Computational Vision

Explore the limits of human and artificial vision with the Computational Vision course offered by the University of Colorado Boulder, now available on Coursera. This deep dive into cognitive vision delves into sophisticated models addressing a vast range of vision tasks, paving the way for a nuanced analysis of both mind and brain functionalities..
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology edX  Professional Certificate

Text Analytics with Python

Embark on a journey into the realm of text analytics and natural language processing (NLP) with the comprehensive Text Analytics with Python certificate. This course demystifies the core techniques of NLP and the cognitive sciences behind them, equipping learners with the skills to perform sophisticated text analysis in Python. Participants will ma.
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provider edX  Professional Certificate
pricing $498.00
duration 12 weeks, 3-6 hours a week
California Institute of Technology Udemy

Introduction to Artificial Intelligence (Indonesian Version)

```html Explore the fascinating world of Artificial Intelligence with our comprehensive course, now available in Indonesian! Dive into the core areas of AI, including Natural Language Processing, Machine Learning, Computer Vision, Expert System, and Deep Learning. Whether you're a beginner or looking to expand your knowledge, this course, provided.
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provider Udemy
pricing Free Online Course
duration 2 hours 4 minutes
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!