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Deploy a Video Indexer Application using Azure Video Analyze
Rogerio Guimaraes
Rogerio Guimaraes
In this one-hour project, you will understand how Azure Video Analyzer works for video analysis and what information is generated for video indexing. You will learn how to deploy a simple Web Application that uses the Azure Video Analyzer SDK to upload and index videos to detect faces, labels in scenes, identify celebrities, and more.
Read more
In this one-hour project, you will understand how Azure Video Analyzer works for video analysis and what information is generated for video indexing. You will learn how to deploy a simple Web Application that uses the Azure Video Analyzer SDK to upload and index videos to detect faces, labels in scenes, identify celebrities, and more.
Read more
In this one-hour project, you will understand how Azure Video Analyzer works for video analysis and what information is generated for video indexing. You will learn how to deploy a simple Web Application that uses the Azure Video Analyzer SDK to upload and index videos to detect faces, labels in scenes, identify celebrities, and more.
Azure Video Analyzer is one of the most popular Artificial Intelligence services in the Azure ecosystem and is favored to analyze images and videos with confidence and low costs.
Once you're done with this project, you will be able to use Azure Video Analyzer to analyze and index your videos in just a few steps.
Register for this course and see more details by visiting:
OpenCourser.com/course/ceii7g/deploy
What's inside
Syllabus
Project Overview
In this one-hour project, you will understand how Azure Video Analyzer works for video analysis and what information is generated for video indexing. You will learn how to deploy a simple Web Application that uses the Azure Video Analyzer SDK to upload and index videos to detect faces, labels in scenes, identify celebrities, and more.
Azure Video Analyzer is one of the most popular Artificial Intelligence services in the Azure ecosystem and is favored to analyze images and videos with confidence and low costs.
Once you're done with this project, you will be able to use Azure Video Analyzer to analyze and index your videos in just a few steps.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners who want to understand Azure Video Analyzer and its use in various industry verticals
Provides hands-on experience through a project-based approach, making it easier for learners to apply their knowledge
Utilizes the Azure Video Analyzer SDK, which is widely used in the industry for video analysis and indexing
Taught by Rogério Guimarães, a recognized expert in the field of video analysis and indexing
Save this course
Save Deploy a Video Indexer Application using Azure Video Analyze to your list so you can find it easily later:
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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 Deploy a Video Indexer Application using Azure Video Analyze with these
activities:
Review Cloud Computing Architecture
Show steps
Refresh your understanding of cloud computing architecture, its different components, and models. This will help lay a solid foundation for understanding Azure.
Browse courses on
Cloud Computing
Show steps
-
Review articles and online resources on cloud computing architecture.
-
Take practice quizzes on cloud computing concepts.
Review basic video editing techniques
Show steps
Strengthen your existing video editing skills in preparation for more advanced video analysis work.
Browse courses on
Video Editing
Show steps
-
Play around with free online video editing tools.
-
Watch beginner video editing tutorials.
-
Edit a short video using a free video editor.
Create an Azure Account
Show steps
Set up your Azure environment and start exploring its features to familiarize yourself with the platform.
Show steps
-
Follow step-by-step tutorials to open an Azure account.
-
Explore Azure documentation and resources.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Explore Azure Video Analyzer guided tutorials
Show steps
Expand your knowledge of Azure Video Analyzer by completing hands-on tutorials.
Show steps
-
Find a tutorial that covers a topic you're interested in.
-
Follow the tutorial step-by-step.
-
Complete the tutorial and test your results.
Analyze Video Content Using the Azure Video Analyzer SDK
Show steps
Sharpen your skills in using the Azure Video Analyzer SDK through exercises that involve analyzing video content.
Show steps
-
Practice writing code that integrates the Azure Video Analyzer SDK.
-
Complete challenges and exercises using the SDK.
Deploy a Simple Web Application with Azure Video Analyzer
Show steps
Apply your understanding by setting up a basic web application that utilizes Azure Video Analyzer, reinforcing the concepts learned in the course.
Show steps
-
Review the course materials on web application deployment.
-
Implement a simple web interface and connect it to Azure Video Analyzer.
-
Test and refine your application.
Gather Resources on Azure Video Analyzer Best Practices
Show steps
Expand your knowledge by compiling resources such as documentation, articles, and tutorials that cover best practices for using Azure Video Analyzer.
Show steps
-
Search for and bookmark relevant resources.
-
Organize the resources into a central location.
Write a report on the latest trends in video analysis
Show steps
Stay up-to-date with the latest advancements in video analysis by conducting research and writing a report.
Browse courses on
Video Analysis
Show steps
-
Identify relevant research articles and industry reports.
-
Read and analyze the research.
-
Summarize the key findings and trends.
-
Write a well-organized and informative report.
Create a simple video analysis web app
Show steps
Apply your knowledge of Azure Video Analyzer by creating a web application that analyzes videos.
Show steps
-
Plan your web app's functionality.
-
Set up your Azure Video Analyzer account.
-
Develop your web app using the Azure Video Analyzer SDK.
-
Deploy your web app to a cloud platform.
-
Test your web app and make improvements.
Attend an Azure Video Analyzer Workshop
Show steps
Deepen your practical understanding by attending an Azure Video Analyzer workshop.
Show steps
-
Find and register for an Azure Video Analyzer workshop.
-
Attend the workshop and engage actively.
Share Your Knowledge with Others
Show steps
Reinforce your understanding by assisting fellow students or beginners in learning about Azure Video Analyzer.
Show steps
-
Answer questions or provide guidance in discussion forums.
-
Participate in online communities or study groups.
Contribute to Open Source in Azure Video Analyzer
Show steps
Enhance your understanding by contributing to the Azure Video Analyzer open-source community.
Show steps
-
Find open-source projects related to Azure Video Analyzer.
-
Identify ways to contribute, such as fixing bugs or adding features.
Review Cloud Computing Architecture
Show steps
Refresh your understanding of cloud computing architecture, its different components, and models. This will help lay a solid foundation for understanding Azure.
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Review articles and online resources on cloud computing architecture.
- Take practice quizzes on cloud computing concepts.
Review basic video editing techniques
Show steps
Strengthen your existing video editing skills in preparation for more advanced video analysis work.
Browse courses on
Video Editing
Show steps
Show steps
Show steps
- Play around with free online video editing tools.
- Watch beginner video editing tutorials.
- Edit a short video using a free video editor.
Create an Azure Account
Show steps
Set up your Azure environment and start exploring its features to familiarize yourself with the platform.
Show steps
Show steps
Show steps
- Follow step-by-step tutorials to open an Azure account.
- Explore Azure documentation and resources.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Explore Azure Video Analyzer guided tutorials
Show steps
Expand your knowledge of Azure Video Analyzer by completing hands-on tutorials.
Show steps
Show steps
Show steps
- Find a tutorial that covers a topic you're interested in.
- Follow the tutorial step-by-step.
- Complete the tutorial and test your results.
Analyze Video Content Using the Azure Video Analyzer SDK
Show steps
Sharpen your skills in using the Azure Video Analyzer SDK through exercises that involve analyzing video content.
Show steps
Show steps
Show steps
- Practice writing code that integrates the Azure Video Analyzer SDK.
- Complete challenges and exercises using the SDK.
Deploy a Simple Web Application with Azure Video Analyzer
Show steps
Apply your understanding by setting up a basic web application that utilizes Azure Video Analyzer, reinforcing the concepts learned in the course.
Show steps
Show steps
Show steps
- Review the course materials on web application deployment.
- Implement a simple web interface and connect it to Azure Video Analyzer.
- Test and refine your application.
Gather Resources on Azure Video Analyzer Best Practices
Show steps
Expand your knowledge by compiling resources such as documentation, articles, and tutorials that cover best practices for using Azure Video Analyzer.
Show steps
Show steps
Show steps
- Search for and bookmark relevant resources.
- Organize the resources into a central location.
Write a report on the latest trends in video analysis
Show steps
Stay up-to-date with the latest advancements in video analysis by conducting research and writing a report.
Browse courses on
Video Analysis
Show steps
Show steps
Show steps
- Identify relevant research articles and industry reports.
- Read and analyze the research.
- Summarize the key findings and trends.
- Write a well-organized and informative report.
Create a simple video analysis web app
Show steps
Apply your knowledge of Azure Video Analyzer by creating a web application that analyzes videos.
Show steps
Show steps
Show steps
- Plan your web app's functionality.
- Set up your Azure Video Analyzer account.
- Develop your web app using the Azure Video Analyzer SDK.
- Deploy your web app to a cloud platform.
- Test your web app and make improvements.
Attend an Azure Video Analyzer Workshop
Show steps
Deepen your practical understanding by attending an Azure Video Analyzer workshop.
Show steps
Show steps
Show steps
- Find and register for an Azure Video Analyzer workshop.
- Attend the workshop and engage actively.
Share Your Knowledge with Others
Show steps
Reinforce your understanding by assisting fellow students or beginners in learning about Azure Video Analyzer.
Show steps
Show steps
Show steps
- Answer questions or provide guidance in discussion forums.
- Participate in online communities or study groups.
Contribute to Open Source in Azure Video Analyzer
Show steps
Enhance your understanding by contributing to the Azure Video Analyzer open-source community.
Show steps
Show steps
Show steps
- Find open-source projects related to Azure Video Analyzer.
- Identify ways to contribute, such as fixing bugs or adding features.
Career center
Learners who complete Deploy a Video Indexer Application using Azure Video Analyze will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
A Computer Vision Engineer develops and implements computer vision systems, which includes developing video analysis and indexing algorithms. This course may be useful for aspiring Computer Vision Engineers who want to learn about Azure Video Analyzer for building video analysis and indexing systems.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs and develops artificial intelligence systems, which can include video analysis and indexing systems. This course may be useful for aspiring Artificial Intelligence Engineers who want to learn about Azure Video Analyzer for building video analysis and indexing systems.
Video Analyst
Video Analyst
A Video Analyst reviews and analyzes video footage to identify patterns, trends, and anomalies, which may involve using video analysis and indexing tools. This course may be useful for aspiring Video Analysts who want to learn about Azure Video Analyzer for analyzing and indexing videos to detect faces, labels in scenes, and identify celebrities.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement, which may include video analysis and indexing systems. This course may be useful for aspiring Business Analysts who want to learn about Azure Video Analyzer for analyzing and indexing videos to identify areas for improvement in business processes.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems, which includes building applications that use video analysis and indexing. This course may be useful for aspiring Software Engineers who want to learn about Azure Video Analyzer for building web applications that upload and index videos.
Product Manager
Product Manager
A Product Manager develops and manages products, which may include video analysis and indexing systems. This course may be useful for aspiring Product Managers who want to learn about Azure Video Analyzer for building and managing video analysis and indexing products.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems for collecting, storing, and processing data, which can include video data. This course may be useful for aspiring Data Engineers who want to learn about Azure Video Analyzer for storing and processing video data for analysis and indexing.
Project Manager
Project Manager
A Project Manager plans and manages projects, which may include video analysis and indexing projects. This course may be useful for aspiring Project Managers who want to learn about Azure Video Analyzer for planning and managing video analysis and indexing projects.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation, which may include documentation for video analysis and indexing systems. This course may be useful for aspiring Technical Writers who want to learn about Azure Video Analyzer for writing documentation for video analysis and indexing systems.
Network Engineer
Network Engineer
A Network Engineer designs, builds, and maintains computer networks, which may include networks used for video analysis and indexing systems. This course may be useful for aspiring Network Engineers who want to learn about Azure Video Analyzer for building and maintaining networks for video analysis and indexing systems.
Cybersecurity Analyst
Cybersecurity Analyst
A Cybersecurity Analyst protects computer systems and networks from cyberattacks, which may include video analysis and indexing systems. This course may be useful for aspiring Cybersecurity Analysts who want to learn about Azure Video Analyzer for protecting video analysis and indexing systems from cyberattacks.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests and evaluates software systems to ensure they meet quality standards, which may include video analysis and indexing systems. This course may be useful for aspiring Quality Assurance Analysts who want to learn about Azure Video Analyzer for testing and evaluating video analysis and indexing systems.
Cloud Architect
Cloud Architect
A Cloud Architect designs and builds cloud-based solutions, which may include video analysis and indexing systems. This course may be useful for aspiring Cloud Architects who want to learn about Azure Video Analyzer for building video analysis and indexing systems in the cloud.
Data Scientist
Data Scientist
A Data Scientist analyzes data to extract meaningful insights and make predictions, which can be applied to video analysis. This course may be useful for aspiring Data Scientists who want to learn about Azure Video Analyzer for analyzing and indexing videos to detect faces, labels in scenes, and identify celebrities.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and develops systems that train computers to perform tasks without being explicitly programmed, which is commonly used in video analysis. This course may be useful for aspiring Machine Learning Engineers who want to learn about Azure Video Analyzer for video analysis and indexing.
For more career information including salaries, visit:
OpenCourser.com/course/ceii7g/deploy
Reading list
We've selected ten 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
Deploy a Video Indexer Application using Azure Video Analyze.
Provides a comprehensive overview of artificial intelligence for video analytics. It covers topics such as computer vision, machine learning, and deep learning. It valuable resource for anyone who wants to learn more about artificial intelligence for video analytics.
Save
Provides a comprehensive overview of computer vision for video analysis. It covers topics such as image processing, feature extraction, and object recognition. It valuable resource for anyone who wants to learn more about computer vision for video analysis.
Save
Provides a comprehensive overview of machine learning for video analysis. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about machine learning for video analysis.
Provides a comprehensive overview of video object detection. It covers topics such as object detection algorithms, feature extraction, and object tracking. It valuable resource for anyone who wants to learn more about video object detection.
Save
Provides a comprehensive overview of computer vision, including how to use the OpenCV library to build and use computer vision applications.
Provides a comprehensive overview of video marketing. It covers topics such as video marketing strategies, video production, and video distribution. It valuable resource for anyone who wants to learn more about video marketing.
Provides a comprehensive overview of Natural Language Processing, including how to use Python to build and use Natural Language Processing applications.
Provides a comprehensive overview of Reinforcement Learning, including how to use Python to build and use Reinforcement Learning applications.
Provides a comprehensive overview of video editing. It covers topics such as video editing software, editing techniques, and post-production. It valuable resource for anyone who wants to learn more about video editing.
Provides a practical introduction to Deep learning, including how to use the TensorFlow framework to build and train deep learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ceii7g/deploy
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Rogerio Guimaraes
Language
English
Good to know
Builds a strong foundation for beginners who want to understand Azure Video Analyzer and its use in various industry verticals
Provides hands-on experience through a project-based approach, making it easier for learners to apply their knowledge
Utilizes the Azure Video Analyzer SDK, which is widely used in the industry for video analysis and indexing
Taught by Rogério Guimarães, a recognized expert in the field of video analysis and indexing
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