Developing AI Vision Apps Using Microsoft Cognitive Services faq

learnersLearners: 106
instructor Instructor: / instructor-icon
duration Duration: 4.00 duration-icon

This course provides an introduction to developing AI vision apps using Microsoft Cognitive Services. It covers the use of the Vision APIs available in Microsoft Cognitive Services, which allow developers to create richer, smarter, and more sophisticated applications. Participants will learn how to use these APIs to build applications that can recognize objects, detect faces, and read text from images.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

1st Jul, 2018

Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Developing AI Vision Apps Using Microsoft Cognitive Services, provides an in-depth look at the Vision APIs available in Microsoft Cognitive Services. Participants will gain an understanding of the Computer Vision API, Optical Character Recognition (OCR), Image Manipulation, Face API, Emotion API, and Custom Vision API. Through hands-on exercises, participants will learn how to piece the APIs together and put them to work in their organization. Prerequisite knowledge of a C-based programming language such as C, C#, C++, or Java is required. At the end of the course, participants will create an application that analyzes and tags images found in Twitter timelines for the presence of human faces and their recognized emotion.

[Applications]
Upon completion of this course, learners can apply the knowledge and skills acquired to develop AI vision apps using Microsoft Cognitive Services. Learners can use the best practices and Fluent Design principles to create Windows 10 Universal Windows Platform applications that can run on multiple devices. Learners can also use the Computer Vision API, OCR, Face API, Emotion API, and Custom Vision API to analyze and tag images found in Twitter timelines for the presence of human faces and their recognized emotion. Additionally, learners can use the APIs to locate the source and physical location of people, places, or organizations referenced in the content.

[Career Paths]
1. AI Vision App Developer: AI Vision App Developers are responsible for developing applications that use Microsoft Cognitive Services Vision APIs to analyze and tag images. They must be proficient in a C-based programming language such as C, C#, C++, or Java, and have a good understanding of the latest best practices and Fluent Design principles. As AI technology continues to evolve, AI Vision App Developers will need to stay up to date with the latest trends and technologies in order to create the most effective applications.

2. AI Vision App Analyst: AI Vision App Analysts are responsible for analyzing the data gathered from Microsoft Cognitive Services Vision APIs. They must have a good understanding of the data gathered from the APIs and be able to interpret it in order to make informed decisions. As AI technology continues to evolve, AI Vision App Analysts will need to stay up to date with the latest trends and technologies in order to effectively analyze the data.

3. AI Vision App Designer: AI Vision App Designers are responsible for designing applications that use Microsoft Cognitive Services Vision APIs. They must have a good understanding of the APIs and be able to create user-friendly and visually appealing applications. As AI technology continues to evolve, AI Vision App Designers will need to stay up to date with the latest trends and technologies in order to create the most effective applications.

4. AI Vision App Tester: AI Vision App Testers are responsible for testing applications that use Microsoft Cognitive Services Vision APIs. They must have a good understanding of the APIs and be able to identify any potential issues or bugs. As AI technology continues to evolve, AI Vision App Testers will need to stay up to date with the latest trends and technologies in order to effectively test the applications.

[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science is a great way to gain the skills and knowledge needed to develop AI vision apps using Microsoft Cognitive Services. This degree program typically covers topics such as programming, software engineering, data structures, algorithms, artificial intelligence, machine learning, and computer vision. Students will also learn about the latest trends in AI and how to apply them to their projects.

2. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence is a great way to gain the advanced skills and knowledge needed to develop AI vision apps using Microsoft Cognitive Services. This degree program typically covers topics such as machine learning, deep learning, natural language processing, computer vision, robotics, and AI algorithms. Students will also learn about the latest trends in AI and how to apply them to their projects.

3. Doctoral Degree in Computer Science: A Doctoral Degree in Computer Science is a great way to gain the highest level of skills and knowledge needed to develop AI vision apps using Microsoft Cognitive Services. This degree program typically covers topics such as advanced programming, software engineering, data structures, algorithms, artificial intelligence, machine learning, and computer vision. Students will also learn about the latest trends in AI and how to apply them to their projects.

4. Certificate in AI Vision: A Certificate in AI Vision is a great way to gain the skills and knowledge needed to develop AI vision apps using Microsoft Cognitive Services. This certificate program typically covers topics such as programming, software engineering, data structures, algorithms, artificial intelligence, machine learning, and computer vision. Students will also learn about the latest trends in AI and how to apply them to their projects.

Course Provider

Provider Edx's Stats at AZClass

Developing AI Vision Apps Using Microsoft Cognitive Services describes how to use Microsoft Cognitive Services to develop artificial intelligence vision applications. It covers the use of the vision APIs available in Microsoft Cognitive Services to enable developers to create richer, smarter, and more complex applications. Participants will learn how to use these APIs to build applications that can recognize objects, detect faces, and read text from images. This course provides an in-depth look at the Microsoft Cognitive Services Vision APIs and how to use them to develop AI vision applications.

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Quiz

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1. What is the prerequisite for this course?

2. What is the Custom Vision API used for?

3. What type of applications can be created with the course?

4. Which of the following is NOT a feature of Microsoft Cognitive Services?

5. What is Microsoft Cognitive Services?

Correct Answer: It is a set of cloud-based intelligence services and APIs for building richer, smarter, and more sophisticated applications.

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faq FAQ for Computer Vision Courses

Q1: What is the purpose of Developing AI Vision Apps Using Microsoft Cognitive Services?

Developing AI Vision Apps Using Microsoft Cognitive Services is a course designed to teach students how to use Microsoft Cognitive Services to create AI vision applications. The course covers topics such as AI programming, AI development, AI solutions, and vision apps. Students will learn how to use Microsoft Cognitive Services to create AI vision applications that can be used in a variety of industries.

Q2: What skills will I learn in this course?

In this course, you will learn how to use Microsoft Cognitive Services to create AI vision applications. You will also learn how to use AI programming and AI development to create AI solutions. Additionally, you will learn how to use vision apps and cognitive services to create AI vision applications.

Q3: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q4: Can I take this course for free?

Yes, this is a free course offered by Edx, please click the "go to class" button to access more details.

Q5: How many people have enrolled in this course?

So far, a total of 106 people have participated in this course. The duration of this course is 4.00 hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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(Please note that the following steps should be performed on Edx's official site.)
Find the course description and syllabus for detailed information.
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Add your desired course to your cart.
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Once in the cart, select the course you want and click "Enroll."
Edx may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Computer Vision courses and certifications, our extensive collection at azclass.net will help you.

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