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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.