Computer vision courses

326 Courses

Udemy

PyTorch for Deep Learning Bootcamp: Zero to Mastery

Elevate your understanding of Deep Learning with the PyTorch for Deep Learning Bootcamp: Zero to Mastery. Offered by Udemy, this comprehensive course is designed for individuals eager to dive into the world of Machine Learning using the powerful PyTorch library developed by Facebook. Gain hands-on experience with practical examples that cover.

Udemy

Ollama Zero to Hero: Build Chat, Vision Games & AI Agents

Ollama Zero to Hero: Build Chat, Vision Games & AI Agents Join the transformative journey from an AI novice to an expert with the "Ollama Zero to Hero: Build Chat, Vision Games & AI Agents" course. Dive into mastering Local LLMs through the creation of four distinct AI projects with Python, progressing from basic chat applications to sophisticate.

Udemy

Learn Google's Gemini and Anthropic's Claude API with Python

Explore the world of advanced artificial intelligence with our comprehensive course on Udemy, "Learn Google's Gemini and Anthropic's Claude API with Python." This course is designed to empower you with the skills to develop groundbreaking applications using the powerful Google Gemini 1.5 and Anthropic Claude 3 large language models (LLMs). Th.

Udemy

Microsoft Applied Skills: Build an Azure AI Vision solution

Unlock the power of Azure AI Vision with our comprehensive course, Microsoft Applied Skills: Build an Azure AI Vision Solution, available exclusively on Udemy. This course, coded APL-3004, is your gateway to mastering image analysis by learning how to analyze images and develop custom image analysis models effectively. Perfect for those int.

Johns Hopkins University

Introduction to Neural Networks

Udemy

[NEW] AWS Certified AI Practitioner AIF-C01

Prepare for the AWS Certified AI Practitioner AIF-C01 exam with Jairo Pirona’s comprehensive course. This Udemy course offers a complete overview of all necessary topics, along with a practice exam to ensure you're ready to pass. Gain valuable insights into Artificial Intelligence, Machine Learning, Computer Vision, and Neural Networks, with.

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,.

Udemy

YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024

Immerse yourself in the cutting-edge realm of computer vision and artificial intelligence with our YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024 course offered by Udemy. This expertly crafted course empowers you with the skills to design Custom Object Detection systems, engage in Segmentation, extend your capabilities to Tracking, a.

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

CompTIA AI Essentials: Fundamentals for Business/Tech + QAs

Welcome to the CompTIA AI Essentials course: Fundamentals for Business and Tech professionals. This comprehensive guide is designed for non-technical professionals who are eager to deepen their understanding of AI concepts, applications, and ethics. Offered by Udemy, this course is perfect for those preparing for the CompTIA AI Essentials Ex.

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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!