You've almost certainly heard of AI and Deep Learning. However, if you ask yourself, "What is my position in relation to this new industrial revolution?" You may be led to another essential question: "Am I a consumer or a creator?" Most individuals nowadays would say they are consumers. But what if you could become a maker as well? Was it possible to quickly break into the world of artificial intelligence and create great apps that use cutting-edge technology to make the world a better place? Doesn't it seem too good to be true? But there is a way. Computer Vision is by far the simplest way to become creative. It's not just the simplest technique, but it's also the branch of AI with the most to produce. Why? You'll inquire. This is due to the widespread usage of computer vision. The list goes on and on, from health to shopping to entertainment.

Computer vision is currently an $18 billion sector that is rapidly expanding. Consider tumor detection in patient MRI brain imaging. How many more lives are saved each day because a machine can evaluate 10,000 times more photos than a human can? What if you come upon an industry where computer vision is not currently being used? Then much better! That suggests there is a business opportunity available to you. This is one of the best online courses to learn computer vision.

Who this course is for:

• Anyone interested in Computer Vision or Artificial Intelligence

Requirements:

• Only High School Maths
• Basic Python programming knowledge

Udemy rating: 4.4/5

Enroll here: https://www.udemy.com/course/computer-vision-a-z/

AI and Deep Learning are transforming industries, and one of the most intriguing parts of this AI revolution is in computer vision! But what is computer vision, and why is it so exciting? What if computers could comprehend what they saw through cameras or images? Medical imaging, self-driving cars, security monitoring, analysis, safety, farming, industry, and manufacturing are just a few of the uses for such technology! The list goes on and on. Computer vision employees are in high demand, and specialists in the area sometimes earn $200,000 or more per year. Getting started in this sector, however, is not simple. There is an abundance of knowledge, most of it old, and a variety of tutorials that fail to teach the fundamentals. As a result, newcomers have no notion of where to begin.

This course seeks to address all of these issues! No messy installs, all code works straight away. 27+ hours of current and useful computer vision theory, with example code from PyTorch and Tensorflow Keras, were used to teach! This is one of the greatest online courses to learn computer vision that you should try.

Who this course is for:

• College/University Students of all levels Undergrads to PhDs (very helpful for those doing projects)
• Software Developers and Engineers looking to transition into Computer Vision
• Startup founders looking to learn how to implement their big idea
• Hobbyists and even high schoolers looking to get started in Computer Vision

Requirements:

• No programming experience (some Python would be beneficial)
• Basic high school mathematics
• A broadband internet connection

Udemy rating: 4.7/5

Enroll here: https://www.udemy.com/course/modern-computer-vision/

PyTorch has quickly become one of the most transformational deep learning frameworks. PyTorch has dramatically transformed the landscape in the field of deep learning since its debut, owing to its flexibility and ease of use while developing deep learning models. Deep Learning jobs provide some of the best wages in the software industry. This course will take you from the very fundamentals to constructing cutting-edge Deep Learning and Computer Vision applications using PyTorch.

Learn and master deep learning with PyTorch in this fascinating and enjoyable course taught by renowned educator Rayan Slim. Rayan is a highly rated and experienced instructor with over 44,000 students who created this wonderful course using a "learn by doing" approach. You'll go from novice to deep learning expert, and your instructor will walk you through each task step-by-step on screen. By the conclusion of the course, you will have developed cutting-edge Deep Learning and Computer Vision applications using PyTorch. The projects created in this course will amaze even the most experienced developers and will ensure that you have hands-on abilities that you can use on any project or firm.

Who this course is for:

• Anyone with an interest in Deep Learning and Computer Vision
• Anyone (no matter the skill level) who wants to transition into the field of Artificial Intelligence
• Entrepreneurs with an interest in working on some of the most cutting edge technologies
• All skill levels are welcome!

Requirements

• No experience is required

Udemy rating: 4.6/5

Enroll here: https://www.udemy.com/course/pytorch-for-deep-learning-and-computer-vision/

The automobile industry is transitioning from traditional, human-driven cars to self-driving, artificial intelligence-powered vehicles. Self-driving cars provide a safe, efficient, and cost-effective option that will fundamentally alter the future of human mobility. Self-driving cars are predicted to save over 500,000 lives and provide tremendous economic potential worth more than $1 trillion by 2035. The automobile industry is investing billions of dollars in order to put the most technologically sophisticated vehicles on the road. As the globe moves closer to a driverless future, the demand for competent engineers and researchers in this growing new industry has never been greater. The goal of this course is to teach students about the major components of self-driving car design and development.

The course gives students hands-on experience with self-driving car topics, including machine learning and computer vision. Lane detection, traffic sign categorization, vehicle/object detection, artificial intelligence, and deep learning are among the concepts covered. The course is designed for students who wish to learn the fundamentals of self-driving car control. A basic understanding of programming is recommended. However, because these subjects will be thoroughly addressed throughout the first few course sessions, the course has no prerequisites and is available to any student with basic programming skills. Students who take this self-driving vehicle course will learn about driverless automobile technology that will change the world.

Who this course is for:

• Software engineers interested in learning the algorithms that power self-driving cars.

Requirements:

• Windows, Mac, or Linux PC with at least 3GB free disk space.
• Some prior experience in programming.

Udemy rating: 4.6/5

Enroll here: https://www.udemy.com/course/autonomous-cars-deep-learning-and-computer-vision-in-python/

This course will teach you how to utilize the Python programming language for computer vision. They'll look at how to analyze image and video data using Python and the OpenCV (Open Computer Vision) package. The world's most popular platforms are creating unprecedented volumes of picture and video data. Users upload over 300 hours of video to YouTube every 60 seconds. Netflix members view over 80,000 hours of video, and Instagram users like over 2 million photographs! It is now more important than ever for developers to learn how to work with picture and video data utilizing computer vision.

Computer vision enables us to evaluate and use picture and video data, with applications in a wide range of sectors such as self-driving cars, social network apps, medical diagnostics, and many more. Python, being the most common programming language, is perfectly suited to leveraging the capabilities of current computer vision libraries to learn from all of this picture and video data. This course will teach you all you need to know to become a computer vision specialist! This $20 billion business will become one of the most important employment marketplaces in the next few years.

They'll begin by learning about numerical processing with the NumPy library, as well as how to open and modify pictures in NumPy. Then they'll go on to utilize the OpenCV library to open and manipulate images. Then they'll start to learn how to process photos and apply effects like color mapping, mixing, thresholds, gradients, and more. Then they'll go through video fundamentals with OpenCV, including working with streaming video from a webcam. Following that, they'll go over direct video issues like optical flow and object identification. Face detection and object tracking are two examples. The course will then devote a full part to the most recent deep learning subjects, such as picture recognition and bespoke image classifications. They'll also go through the most recent deep learning networks, such as the YOLO (you only look once) deep learning network.

Who this course is for:

• Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.

Requirements:

• Must have clear understanding of Python Basics
• Windows 10 or MacOS or Ubuntu
• Must have Install Permissions on Computer
• WebCam if you want to learn the video streaming content

Udemy rating: 4.6/5

Enroll here: https://www.udemy.com/course/python-for-computer-vision-with-opencv-and-deep-learning/

Computer Vision is an Artificial Intelligence subfield that focuses on developing computers that can process, interpret, and recognize visual input in a manner comparable to the human eye. There are several businesses uses in fields like security, marketing, decision-making, and production. Smartphones utilize computer vision to unlock devices via facial recognition; self-driving vehicles use it to detect pedestrians and maintain a safe distance from other cars, and security cameras use it to determine whether there are humans in the area for the alarm to be activated.

This course will teach you all you need to know to get started in this world. You will learn how to implement the 14 (fourteen) major computer vision techniques step by step. If you have never heard of computer vision, you will have a practical overview of all the topics at the end of this course. This is one of the best online courses to learn computer vision.

Who is this course is for:

• Beginners who are starting to learn Computer Vision
• Undergraduate students who are studying subjects related to Artificial Intelligence
• People who want to solve their own problems using Computer Vision
• Students who want to work in companies developing Computer Vision projects
• People who want to know all areas inside Computer Vision, as well as know the problems that these techniques are able to solve
• Anyone interested in Artificial Intelligence or Computer Vision
• Data scientists who want to grow their portfolio
• Professionals who want to understand how to apply Computer Vision to real projects

Requirements:

• Programming logicBasic
• Python programming

Udemy rating: 4.3/5

Enroll here: https://www.udemy.com/course/computer-vision-masterclass/

Computer vision (CV), an area of computer science, is concerned with simulating the complex functions of the human visual system. Real-world photographs and videos are recorded, processed, and analyzed in the CV process to allow machines to extract contextual, valuable information from the physical world. Until recently, computer vision had a limited capability. However, thanks to recent advances in artificial intelligence and deep learning, this subject has achieved significant strides. Today, CV outperforms humans in most common tasks, including object detection and classification.

The Mastering Computer Vision from the Absolute Beginning Using Python course's high-quality content provides you with an excellent opportunity to learn and become an expert. You will study the fundamentals of the CV sector. This course will also help you to understand the digital imaging process and identify the key application areas of CV. Although this course covers all of the fundamental ideas of CV, you are urged to go above and beyond what you study. At the end of each session, you will be assessed on your grasp of each idea. Homework assignments/tasks/activities/quizzes, as well as solutions, will be used to measure your learning. Several of these tasks are centered on coding, preparing you to run with implementations.

Who this course is for:

• Learners who are absolute beginners and know nothing about Computer Vision.
• People who want to make smart solutions.
• People who want to learn computer vision with real data.
• People who love to learn theory and then implement it using Python.
• People who want to learn computer vision along with its implementation in realistic projects.
• Data Scientists.
• Machine learning experts.

Requirements:

• No prior knowledge is needed. You will start from the basics and slowly build your knowledge in computer vision.
• A willingness to learn and practice.
• Knowledge of Python would be a plus.
• Since they teach by practical implementations, practice is a must.

Udemy rating: 4.4/5

Enroll here: https://www.udemy.com/course/mastering-computer-vision-theory-projects-in-python/

Optical Character Recognition, or OCR, is the current buzzword in the artificial intelligence industry that is pushing business digitization. Every business wants to use OCR to gain easier and faster access to its digital data sources. An OCR implementation not only speeds up the workflow of text operations across many sectors, but also contributes to a better customer experience. According to recent study analysis, the OCR market, which was about 7.2 billion US dollars in 2016, is predicted to increase dramatically and reach 13.4 billion US dollars by 2025.

Enroll in this course to learn how to use Optical Character Recognition (OCR) to extract data from images and PDFs using Python. The course discusses the theory of ideas and then shows you code to make you an expert in computer vision and OCR. It teaches you how to detect text using OpenCV and Deep Learning models; recognize text using Tesseract and OCR; and label text using Spacy and Regular Expression. It aids you in developing technological solutions for the most common OCR use cases in business, where they utilize OCR to transform images to text. This is one of the greatest online courses to learn computer vision.

Who is this course is for:

• Beginners to Computer Vision
• OCR Engineer
• OCR Specialist
• Machine Learning Professionals
• Anyone looking to become more employable as a Computer Vision Expert

Requirements:

• Basic Programming skills in Python

Udemy rating: 4.6/5

Enroll here: https://www.udemy.com/course/computer-vision-ocr-using-python/