Computer vision courses

309 Courses

LinkedIn Learning

Microsoft Azure AI Essentials Professional Certificate by Microsoft and LinkedIn

Embark on a transformative learning journey with the Microsoft Azure AI Essentials Professional Certificate offered by Microsoft and LinkedIn. This course is designed for tech professionals and business leaders eager to delve into machine learning and AI fundamentals, along with Microsoft Azure's related services. Throughout the course, you.

LinkedIn Learning

Inteligencia artificial más allá de la ingeniería

Embárcate en un viaje fascinante con nuestro curso de "Inteligencia artificial más allá de la ingeniería", diseñado para desmitificar qué es realmente la inteligencia artificial y qué no es. Con una mezcla de explicaciones claras y ejemplos prácticos, este curso te llevará a través del pasado y del presente de la IA, además de presentarte lo.

Coursera

Self-Driving Car Specialization Course

Embark on a transformative journey into the cutting-edge world of self-driving cars through this comprehensive specialization. This course covers foundational principles and advanced decision-making required to design, implement, and test self-driving car technologies. The curriculum begins with an introduction to autonomous vehicles, detailin.

Udemy

Python Zero to Hero: Master Coding with Real Projects

Unlock the power of Python with the Python Zero to Hero: Master Coding with Real Projects course offered by Udemy. Whether you're a beginner or looking to deepen your skills, this course is tailored to guide you through the essentials and beyond, utilizing hands-on projects that teach you coding in a practical and engaging way. What You Will Lea.

Udemy

AI Engineering Masterclass: From Zero to AI Hero

Enhance your skills with the AI Engineering Masterclass: From Zero to AI Hero. In this comprehensive course offered by Udemy, immerse yourself in building, training, and deploying scalable AI solutions. Engage with real-world projects and gain hands-on learning experience. Covering a variety of topics, this course is perfect for those interes.

Udemy

30 Projects in 30 days of AI Development Bootcamp

Join our intensive 30 Projects in 30 Days of AI Development Bootcamp and gain unparalleled hands-on experience. Dive deep into the essential concepts and practical applications of Artificial Intelligence, Python, and related technologies. Build proficiency in machine learning, computer vision, deep learning, and neural networks using top frame.

Udemy

Fast-Track Deep Learning: Master AI Foundations in 15 Days

Unlock the world of Artificial Intelligence with our intensive 15-day course, "Fast-Track Deep Learning: Master AI Foundations in 15 Days." Perfect for beginners, this program guides you from zero experience to building your very own AI models using PyTorch. Enroll today and expand your skill set in the rapidly growing fields of machine learn.

Udemy

AI-900 Azure AI Fundamentals Complete Exam Prep

Prepare effectively for the AI-900 Azure AI Fundamentals exam with our extensive course. Featuring a complete practice exam, this course offers in-depth knowledge on Microsoft Azure AI, Machine Learning, and Generative AI. Enroll now to enhance your expertise and confidently tackle the AI-900 exam. Master Microsoft Azure AI concep.

Udemy

Deep Learning for Beginners: Core Concepts and PyTorch

Embark on your journey into the world of deep learning and artificial intelligence with our beginner-level course, "Deep Learning for Beginners: Core Concepts and PyTorch." This course, available through Udemy, is designed to provide you with a solid understanding of deep learning principles. Whether you're interested in artificial intellige.

Udemy

AI-900: Microsoft Certified: Azure AI Fundamentals -Dec 2024

Get ready to pass the AI-900: Microsoft Certified Azure AI Fundamentals exam with ease. This comprehensive course on Udemy guides you through essential AI concepts, tailored for both beginners and professionals eager to master Azure AI. Simplify your learning journey by completing the entire course in just one day. The course includes compl.

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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!