Computer vision courses

316 Courses

Udemy

Master AI Image Generation using Stable Diffusion

Join our comprehensive course on Udemy to master the art of AI Image Generation using the powerful tool of Stable Diffusion. This course will guide you through a step-by-step process of creating stunning visuals using Generative Artificial Intelligence with the integration of Python. Whether you are a beginner or have some experience, this co.

Udemy

AI-900 Course Azure AI Fundamentals with Virtual Simulations

Udemy

Generative Adversarial Networks (GANs): Complete Guide

Embark on a journey into the innovative world of Generative Adversarial Networks (GANs) with our complete guide. This course offers an in-depth exploration of deep learning and computer vision, empowering you to implement transformative projects utilizing GANs, a pivotal technology reshaping the digital landscape. Offered by Udemy, this course.

Udemy

Artificial Intelligence and Machine Learning: Complete Guide

Artificial Intelligence and Machine Learning: Complete Guide Are you eager to dive into the world of Artificial Intelligence but unsure where to begin? Our comprehensive guide is designed just for you. You will learn everything you need to know in both theory and practical application. Offered by Udemy, this course covers a wide range of catego.

Udemy

Artificial Intelligence for Finance, Accounting & Auditing

Explore the Course on Udemy Immerse yourself in the world of artificial intelligence with our comprehensive course designed specifically for professionals in finance, accounting, and auditing. This beginner-level course offers a hands-on approach to learning eight cutting-edge AI techniques without any coding prerequisites. Perfectly tail.

Udemy

Microsoft Applied Skills: Azure AI Document Intelligence

Microsoft Applied Skills: Azure AI Document Intelligence - APL-3002 Join the APL-3002 course, Microsoft Applied Skills: Azure AI Document Intelligence, and enhance your expertise in the world of AI-driven document processing. Offered by Udemy, this course empowers you to proficiently utilize the Azure portal, Python, and C# to pe.

Udemy

Modern Computer Vision & Deep Learning with Python & PyTorch

Udemy

AI-900 Azure AI Fundamentals: Crash Course

Embark on the journey of mastering Microsoft Azure AI Services with our AI-900 Azure AI Fundamentals: Crash Course. Designed to help you ace the AI-900 certification exam, this course provides in-depth knowledge of Azure’s AI capabilities, opening the door to opportunities in the fields of Artificial Intelligence, Machine Learning, and Cloud.

Udemy

Learn Hugging Face Bootcamp

Discover the remarkable world of open-source machine learning with the "Learn Hugging Face Bootcamp." Offered by Udemy, this comprehensive course allows you to explore the cutting-edge innovations of Hugging Face, including transformers, diffusers, and much more. Whether you're a budding enthusiast or a seasoned pro, this bootcamp is designe.

Udemy

Generative AI for Leaders & Business Professionals

Udemy Course: Generative AI for Leaders & Business Professionals Elevate your business acumen with the 'Generative AI for Leaders & Business Professionals' course. Offered by Udemy, this program is tailored for leaders aiming to harness the power of modern AI technologies. Equip yourself with cutting-edge knowledge in artificial intelligence,.

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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!