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Computer vision courses

248 Courses

California Institute of Technology edX

Bayesian Algorithms for Self-Driving Cars

"Bayesian Algorithms for Self-Driving Cars" is a comprehensive online course available on edX, designed to elevate your expertise and prepare you for a successful career in the groundbreaking field of autonomous vehicles. This course meticulously bridges the gap between traditional algorithms and the sophisticated realm of Bayesian localization alg.
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provider edX
pricing Free Online Course (Audit)
duration 13 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Udacity

Building Generative Adversarial Networks

Join us for an unparalleled learning experience in Building Generative Adversarial Networks. This course, offered by Udacity, provides an exceptional opportunity to understand and implement Deep Convolutional GANs (Generative Adversarial Networks) to create lifelike images. Under the guidance of Ian Goodfellow, the pioneering mind behind the invent.
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provider Udacity
pricing Free Online Course
sessions On-Demand
California Institute of Technology Coursera

Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

Join our self-paced lab on Scanning User-Generated Content Using the Cloud Video Intelligence and Cloud Vision APIs, hosted on the Google Cloud console. This interactive lab guides you through deploying Cloud Functions to effectively process images and videos utilizing the powerful Cloud Vision API and Cloud Video Intelligence API. Discover the cut.
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provider Coursera
pricing Paid Course
duration 1 hour
sessions On-Demand
California Institute of Technology FutureLearn

Introduction to Microsoft Azure AI Fundamentals

Embark on a transformative journey with our "Introduction to Microsoft Azure AI Fundamentals" course, meticulously crafted in collaboration with Microsoft. This comprehensive five-week online course is your pathway to mastering the fundamentals of artificial intelligence (AI), unlocking the potential to revolutionize applications, drive technologic.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 5 weeks, 4 hours a week
sessions On-Demand
California Institute of Technology Coursera

Tracking Objects in Video with Particle Filters

Embark on a project-based journey over an hour, where you will solve a compelling computer vision problem through "Tracking Objects in Video with Particle Filters." This course will immerse you into the world of real-world challenges such as noisy sensor data, dynamic changes in object shapes, and occlusion, where objects are hidden from view. Lear.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Preparing for AI-900: Microsoft Azure AI Fundamentals exam

Get ready to enhance your professional portfolio with the globally recognized Microsoft certifications by enrolling in the preparation course for the AI-900: Microsoft Azure AI Fundamentals exam on Coursera. Diving into the digital and cloud business realms, this course is designed to solidify your command over foundational machine learning concept.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand
California Institute of Technology edX

Google AI for Anyone

Embark on a journey into the captivating world of AI with the "Google AI for Anyone" course. This enlightening program demystifies Artificial Intelligence, cutting through the myths to offer a clear understanding of AI and Machine Learning. Designed with everyone in mind, no prior knowledge of computer science, mathematics, AI, or programming is ne.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Udacity

AI Fundamentals

Embark on your journey into the realm of artificial intelligence with AI Fundamentals, a course designed to offer beginners a comprehensive introduction to AI through Microsoft's innovative cloud-based technologies, including Azure Machine Learning and Azure Cognitive Services. Offered by Udacity, this program provides a unique opportunity to explo.
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provider Udacity
pricing Free Online Course
duration 4 weeks
sessions On-Demand
California Institute of Technology Coursera  Professional Certificate

IBM AI Engineering

Revolutionize your career with the power of AI through the IBM AI Engineering Professional Certificate. This immersive 6-course program is your gateway to mastering the dynamic field of AI and machine learning, crucial for driving innovation across various industries today. Dive deep into the core concepts of machine learning and deep learning, inc.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 39 weeks, 3 hours a week
California Institute of Technology Udacity  Nanodegree

Intel® Edge AI for IoT Developers

With an astonishing 70% of data now being produced at the edge and half of it bypassing the public cloud for local processing and storage, the demand for Edge AI expertise is surging. Expected to balloon from $355 million in 2018 to a staggering $1,152 billion by 2023, the Edge AI software market is witnessing an unprecedented annual growth rate of.
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provider Udacity  Nanodegree
pricing Paid Course
duration 13 weeks, 10 hours a week

“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!