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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.
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/qsth32/build
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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
Practical azure computer vision apis
According to students, this course provides a highly practical approach to building computer vision applications using Azure Cognitive Services. Learners find it an effective hands-on experience for executing API calls to pre-built resources. It serves as a solid foundation for understanding and implementing AI/ML solutions in Microsoft Azure, making it valuable for those looking to leverage cloud AI services quickly.
Involves creating and using an Azure Portal account.
"I had to create an Azure account and log into the portal, which was part of the initial steps."
"The course guides you through setting up the necessary Azure resources, which is helpful."
"Be prepared to create and manage a few resources in your Azure subscription for this project."
Utilizes existing Cognitive Services, not custom models.
"I realized this project is focused on consuming pre-built computer vision resources, which was important to understand."
"It's good to know this course isn't about building models from scratch, but rather leveraging Azure's ready APIs."
"The emphasis is on using what's already available through the API calls, making deployment quick."
A concise, step-by-step practical guided experience.
"The guided project structure made it incredibly straightforward to follow along and complete the tasks quickly."
"I appreciated the bite-sized approach, allowing me to learn and apply concepts effectively within a short time."
"It's very much a 'do-it-yourself-with-guidance' kind of course, which I find very effective for retention."
Establishes a base for broader Azure AI understanding.
"This course truly laid a strong foundation for understanding AI and ML solutions within Microsoft Azure."
"I feel much better equipped to explore other Azure AI services after completing this project."
"It's a great initial step if you're looking to get into the Microsoft Azure AI ecosystem."
Focuses on direct application of Azure CV APIs.
"I found this project exceptionally useful for getting started with Azure Computer Vision APIs right away."
"It's all about hands-on API calls, which is exactly what I needed to see how it works in practice."
"The steps on executing API calls to generate predictions were very clear and easy to follow."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Build a computer vision app with Azure Cognitive Services with these
activities:
Review Computer Vision
Show steps
Build a foundational understanding of Computer Vision concepts and services; this should help solidify understanding when you start the course.
Browse courses on
Computer Vision
Show steps
-
Take the Microsoft Learn module on Computer Vision
-
Complete a few hands-on labs on Computer Vision
Connect with a mentor in the field of Computer Vision
Show steps
Gain access to valuable guidance and insights from an experienced professional in the field.
Browse courses on
Computer Vision
Show steps
-
Identify potential mentors on LinkedIn or other networking platforms
-
Reach out to potential mentors and request a meeting
Attend a Computer Vision meetup
Show steps
Learn from others in the field and gain access to the latest trends and insights in Computer Vision.
Browse courses on
Computer Vision
Show steps
-
Find a Computer Vision meetup in your area
-
Attend the meetup and participate in discussions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using the Computer Vision API
Show steps
Develop proficiency in using the Computer Vision API by performing repetitive exercises.
Show steps
-
Complete a set of practice exercises on the Computer Vision API
-
Build a small project using the Computer Vision API
Create a blog post about Computer Vision
Show steps
Solidify your understanding of Computer Vision by writing a blog post explaining the concepts and applications.
Browse courses on
Computer Vision
Show steps
-
Write an outline for your blog post
-
Research the topic of Computer Vision
-
Write the first draft of your blog post
-
Edit and revise your blog post
-
Publish your blog post
Answer questions about Computer Vision on forums
Show steps
Provide support to other learners and reinforce your own understanding of Computer Vision.
Browse courses on
Computer Vision
Show steps
-
Join an online forum or discussion group focused on Computer Vision
-
Answer questions and provide assistance to other members of the community
Contribute to an open-source Computer Vision project
Show steps
Make a valuable contribution to the open-source community while enhancing your Computer Vision skills.
Browse courses on
Computer Vision
Show steps
-
Identify an open-source Computer Vision project to contribute to
-
Follow the project's contribution guidelines
-
Submit a pull request with your contribution
Review Computer Vision
Show steps
Build a foundational understanding of Computer Vision concepts and services; this should help solidify understanding when you start the course.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Take the Microsoft Learn module on Computer Vision
- Complete a few hands-on labs on Computer Vision
Connect with a mentor in the field of Computer Vision
Show steps
Gain access to valuable guidance and insights from an experienced professional in the field.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Identify potential mentors on LinkedIn or other networking platforms
- Reach out to potential mentors and request a meeting
Attend a Computer Vision meetup
Show steps
Learn from others in the field and gain access to the latest trends and insights in Computer Vision.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Find a Computer Vision meetup in your area
- Attend the meetup and participate in discussions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using the Computer Vision API
Show steps
Develop proficiency in using the Computer Vision API by performing repetitive exercises.
Show steps
Show steps
Show steps
- Complete a set of practice exercises on the Computer Vision API
- Build a small project using the Computer Vision API
Create a blog post about Computer Vision
Show steps
Solidify your understanding of Computer Vision by writing a blog post explaining the concepts and applications.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Write an outline for your blog post
- Research the topic of Computer Vision
- Write the first draft of your blog post
- Edit and revise your blog post
- Publish your blog post
Answer questions about Computer Vision on forums
Show steps
Provide support to other learners and reinforce your own understanding of Computer Vision.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Join an online forum or discussion group focused on Computer Vision
- Answer questions and provide assistance to other members of the community
Contribute to an open-source Computer Vision project
Show steps
Make a valuable contribution to the open-source community while enhancing your Computer Vision skills.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Identify an open-source Computer Vision project to contribute to
- Follow the project's contribution guidelines
- Submit a pull request with your contribution
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
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
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
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
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
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
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
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.
Project Manager
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.
IT Manager
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.
Sales Engineer
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.
Marketing Manager
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.
Technical Writer
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/qsth32/build
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.
Save
Provides a comprehensive overview of deep learning for computer vision, including topics such as convolutional neural networks, object detection, and image segmentation.
Save
A comprehensive textbook that covers the foundational algorithms and applications of computer vision.
Provides a solid foundation in pattern recognition and machine learning, which are essential for understanding 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.
Save
Provides a comprehensive overview of deep learning for computer vision, including topics such as convolutional neural networks, object detection, and image segmentation.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qsth32/build
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