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Build a computer vision app with Azure Cognitive Services

Catalin Popa

By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Computer Vision Cognitive Services resource and use it by executing API calls to generate predictions.

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By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Computer Vision Cognitive Services resource and use it by executing API calls to generate predictions.

You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then providing a clear example through the Microsoft API portal on how these can be executed.

The skills learned in this guided project will provide the foundation to understanding and implementing Artificial Intelligence & Machine Learning solutions in Microsoft Azure.

If you enjoy this project, we recommend taking the Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization: https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals

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What's inside

Syllabus

Project Overview
By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Computer Vision Cognitive Services resource and use it by executing API calls to generate predictions. You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then providing a clear example through the Microsoft API portal on how these can be executed. The skills learned in this guided project will provide the foundation to understanding and implementing Artificial Intelligence & Machine Learning solutions in Microsoft Azure.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to the Computer Vision resource in Azure and its API calls
Recommended alternative courses demonstrate there are other options for learning about Microsoft Azure
Offers clear examples of API execution through the Microsoft API portal
Appropriate for learners interested in implementing AI & Machine Learning solutions in Microsoft Azure

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Reviews summary

Recommended computer vision course

According to students, this course is an excellent introduction to computer vision with Azure Cognitive Services. It is considered by learners to have good and engaging assignments, a knowledgeable instructor, and informative material. While some learners reported technical difficulties like outdated video or issues with the Computer Vision API, the majority of learners found the course to be well-presented and worthwhile.
Instructor is considered knowledgeable.
"very knowledgeable"
"The instructor does a good job of taking step by step through everything."
Students largely positive in reviews.
"good"
"great"
"excellent"
"Very informational and well presented"
"Fantastic! im still surprised that its free"
"Really i appreciate coursera and their instructors.the course is valuable to my future career."
Some learners reported technical difficulties
"I cant get the video to play in chrome -"
"Video Streaming usually stop and cannot process as I wanted."
"The video is outdated."

Activities

Coming soon We're preparing activities for Build a computer vision app with Azure Cognitive Services. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Build a computer vision app with Azure Cognitive Services will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
A Computer Vision Engineer uses artificial intelligence and machine learning to develop computer vision systems that can understand images and videos. These systems can be used for a variety of applications, such as facial recognition, medical imaging, and autonomous vehicles. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing computer vision solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources, which can be used to build a variety of computer vision applications.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources, which can be used to build a variety of data science applications.
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources, which can be used to build a variety of software applications.
Machine Learning Engineer
A Machine Learning Engineer develops, deploys, and maintains machine learning models. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources, which can be used to build a variety of machine learning applications.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources, which can be used to build a variety of data analytics applications.
Business Analyst
A Business Analyst works with stakeholders to gather and analyze business requirements and develop solutions to improve business processes. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to build solutions that address business needs.
Product Manager
A Product Manager is responsible for the development and marketing of a product. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop products that leverage computer vision technology.
IT Manager
An IT Manager is responsible for managing the IT infrastructure of an organization. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to manage IT infrastructure that supports computer vision applications.
Project Manager
A Project Manager plans, organizes, and manages projects. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to manage projects that involve computer vision technology.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop marketing campaigns that leverage computer vision technology.
Sales Engineer
A Sales Engineer works with customers to identify their needs and develop solutions that meet their requirements. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop sales proposals and presentations that leverage computer vision technology.
Technical Writer
A Technical Writer creates documentation for technical products and services. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop technical documentation that explains computer vision technology.
Customer Success Manager
A Customer Success Manager works with customers to ensure that they are satisfied with a product or service. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop customer support strategies that leverage computer vision technology.
Recruiter
A Recruiter finds and hires candidates for open positions. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop recruiting strategies that leverage computer vision technology.
Office Manager
An Office Manager is responsible for the day-to-day operations of an office. The Build a Computer Vision App with Azure Cognitive Services course provides a foundation for understanding and implementing AI and machine learning solutions in Microsoft Azure, which is a leading platform for developing and deploying AI applications. By taking this course, you will learn how to create and use Computer Vision Cognitive Services resources to develop office management strategies that leverage computer vision technology.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Build a computer vision app with Azure Cognitive Services.
Provides a comprehensive overview of deep learning for computer vision, including topics such as convolutional neural networks, object detection, and image segmentation.
A comprehensive textbook that covers the foundational algorithms and applications of computer vision.
A textbook that provides a comprehensive overview of computer vision, including topics such as image processing, feature extraction, and object recognition.
Covers the fundamental concepts of machine learning for computer vision, including topics such as supervised learning, unsupervised learning, and reinforcement learning.
A comprehensive textbook that covers the principles and practices of computer vision, including topics such as image formation, image processing, and object recognition.
Provides a comprehensive overview of deep learning for computer vision, including topics such as convolutional neural networks, object detection, and image segmentation.
A textbook that provides a comprehensive overview of computer vision, including topics such as image processing, feature extraction, and object recognition.
Covers the fundamental concepts of machine learning for computer vision, including topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of deep learning for computer vision, including topics such as convolutional neural networks, object detection, and image segmentation.
A comprehensive textbook that covers the principles and practices of computer vision, including topics such as image formation, image processing, and object recognition.

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