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Niraj Joshi
This course will teach you how to analyze video using Azure cloud AI offering called Video Indexer. Video Indexer can analyze video, extract transcripts, sentiments, translations, and other metadata.
Read more
This course will teach you how to analyze video using Azure cloud AI offering called Video Indexer. Video Indexer can analyze video, extract transcripts, sentiments, translations, and other metadata.
Read more
This course will teach you how to analyze video using Azure cloud AI offering called Video Indexer. Video Indexer can analyze video, extract transcripts, sentiments, translations, and other metadata.
Extracting insights from the video is quite critical and an organization needs state of the art Artificial Intelligence Offering to reap them. This course will introduce you to a video analytics service called Video Indexer in Azure. In this course, Build a Video Indexer with Microsoft Azure Cognitive Service, you’ll learn to analyze videos. First, you’ll explore how to upload videos in the indexer service. Next, you’ll discover, read, and edit people’s identity, sentiments, and translations. Finally, you’ll learn how to connect to the indexer API using Jupyter Notebooks, and extract information using the indexer SDK. When you’re finished with this course, you’ll have the skills and knowledge of the video indexer service of Azure AI needed to learn video analytics.
Register for this course and see more details by visiting:
OpenCourser.com/course/8o4qgr/build
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What's inside
Syllabus
Course Overview
Evaluating the Video Indexer Service
Extracting Insights with Video Indexer Service
Applying Inbuilt Models for Extracting Insights
Read more
Syllabus
Course Overview
Evaluating the Video Indexer Service
Extracting Insights with Video Indexer Service
Applying Inbuilt Models for Extracting Insights
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores the use of Azure's Video Indexer service, which is a widely used tool in the video analytics industry
Provides hands-on experience with the Video Indexer API and SDK, allowing learners to apply their knowledge in practical scenarios
Taught by Niraj Joshi, who has expertise in video analytics and the Azure platform
Suitable for learners interested in developing video analytics skills using Azure AI services
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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 Build a Video Indexer with Microsoft Azure Cognitive Service with these
activities:
Review the fundamentals of machine learning
Show steps
Review basic concepts of machine learning, including supervised and unsupervised learning, to prepare for the course.
Browse courses on
Machine Learning
Show steps
-
Revisit textbooks or online resources on machine learning concepts.
-
Complete practice problems or exercises to test your understanding.
-
Join online forums or discussion groups to engage with other learners and experts.
Attend industry conferences and meetups
Show steps
Expand your network, learn from industry experts, and stay updated on the latest trends in video analysis.
Show steps
-
Identify relevant industry conferences and meetups.
-
Register for the events and prepare any necessary materials.
-
Attend the events and actively participate in sessions and networking opportunities.
-
Follow up with new connections and explore potential collaborations.
Attend an Azure Video Indexer workshop
Show steps
Join an Azure Video Indexer workshop to learn from experts, gain practical experience, and network with others in the field.
Show steps
-
Research and identify relevant Azure Video Indexer workshops.
-
Register for the workshop and prepare any necessary materials.
-
Attend the workshop and actively participate in discussions and exercises.
-
Follow up after the workshop to continue learning and engage with the community.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice analyzing real-world videos
Show steps
Get hands-on experience analyzing videos using Azure Video Indexer to apply course concepts.
Browse courses on
Video Analysis
Show steps
-
Collect a set of videos relevant to your interests or industry.
-
Upload the videos to Azure Video Indexer and initiate analysis.
-
Explore the generated insights, including transcripts, sentiments, and keyframes.
-
Write a report summarizing your findings and insights.
Mentor junior learners or peers
Show steps
Share your knowledge and skills by mentoring others, reinforcing your understanding of the course concepts.
Show steps
-
Identify opportunities to volunteer as a mentor or tutor.
-
Prepare materials and resources to support your mentees.
-
Regularly meet with your mentees to provide guidance and support.
-
Reflect on your mentoring experience and identify areas for improvement.
Build a custom video indexing solution
Show steps
Develop a tailored video indexing solution using the Video Indexer API, demonstrating your understanding of the service.
Show steps
-
Identify the specific requirements and use cases for your custom solution.
-
Design the architecture and workflow of your solution.
-
Implement the solution using the Video Indexer API and other Azure services.
-
Test and evaluate the performance of your solution.
-
Deploy the solution and monitor its effectiveness.
Contribute to open-source video indexing projects
Show steps
Enhance your understanding of video indexing techniques and contribute to the community by participating in open-source projects.
Show steps
-
Identify open-source video indexing projects that align with your interests.
-
Review the project documentation and identify areas where you can contribute.
-
Submit pull requests with your contributions, following the project's guidelines.
-
Engage with the project community to discuss your contributions and learn from others.
Review the fundamentals of machine learning
Show steps
Review basic concepts of machine learning, including supervised and unsupervised learning, to prepare for the course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Revisit textbooks or online resources on machine learning concepts.
- Complete practice problems or exercises to test your understanding.
- Join online forums or discussion groups to engage with other learners and experts.
Attend industry conferences and meetups
Show steps
Expand your network, learn from industry experts, and stay updated on the latest trends in video analysis.
Show steps
Show steps
Show steps
- Identify relevant industry conferences and meetups.
- Register for the events and prepare any necessary materials.
- Attend the events and actively participate in sessions and networking opportunities.
- Follow up with new connections and explore potential collaborations.
Attend an Azure Video Indexer workshop
Show steps
Join an Azure Video Indexer workshop to learn from experts, gain practical experience, and network with others in the field.
Show steps
Show steps
Show steps
- Research and identify relevant Azure Video Indexer workshops.
- Register for the workshop and prepare any necessary materials.
- Attend the workshop and actively participate in discussions and exercises.
- Follow up after the workshop to continue learning and engage with the community.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice analyzing real-world videos
Show steps
Get hands-on experience analyzing videos using Azure Video Indexer to apply course concepts.
Browse courses on
Video Analysis
Show steps
Show steps
Show steps
- Collect a set of videos relevant to your interests or industry.
- Upload the videos to Azure Video Indexer and initiate analysis.
- Explore the generated insights, including transcripts, sentiments, and keyframes.
- Write a report summarizing your findings and insights.
Mentor junior learners or peers
Show steps
Share your knowledge and skills by mentoring others, reinforcing your understanding of the course concepts.
Show steps
Show steps
Show steps
- Identify opportunities to volunteer as a mentor or tutor.
- Prepare materials and resources to support your mentees.
- Regularly meet with your mentees to provide guidance and support.
- Reflect on your mentoring experience and identify areas for improvement.
Build a custom video indexing solution
Show steps
Develop a tailored video indexing solution using the Video Indexer API, demonstrating your understanding of the service.
Show steps
Show steps
Show steps
- Identify the specific requirements and use cases for your custom solution.
- Design the architecture and workflow of your solution.
- Implement the solution using the Video Indexer API and other Azure services.
- Test and evaluate the performance of your solution.
- Deploy the solution and monitor its effectiveness.
Contribute to open-source video indexing projects
Show steps
Enhance your understanding of video indexing techniques and contribute to the community by participating in open-source projects.
Show steps
Show steps
Show steps
- Identify open-source video indexing projects that align with your interests.
- Review the project documentation and identify areas where you can contribute.
- Submit pull requests with your contributions, following the project's guidelines.
- Engage with the project community to discuss your contributions and learn from others.
Career center
Learners who complete Build a Video Indexer with Microsoft Azure Cognitive Service will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses their knowledge of data analysis, statistics, and machine learning to build predictive models and solve business problems. They may work with structured or unstructured data, and they may use a variety of tools and techniques to build models, including regression, classification, and clustering. This course may be useful for Data Scientists who want to learn how to use Video Indexer to analyze video data. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to build models that predict customer behavior, product usage, and other business-critical factors.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer uses their knowledge of machine learning algorithms and techniques to build and deploy machine learning models. They may work with structured or unstructured data, and they may use a variety of tools and techniques to build models, including regression, classification, and clustering. This course may be useful for Machine Learning Engineers who want to learn how to use Video Indexer to analyze video data. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to build models that predict customer behavior, product usage, and other business-critical factors.
Data Analyst
Data Analyst
A Data Analyst uses their knowledge of data analysis tools, techniques, and methodologies to extract meaningful insights from raw data. They may work with structured or unstructured data, and they may use a variety of tools and techniques to analyze data, including statistical analysis, data visualization, and machine learning. This course may be useful for Data Analysts who want to learn how to use Video Indexer to analyze video data. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to gain insights into customer behavior, product usage, and other business-critical factors.
Database Administrator
Database Administrator
A Database Administrator is responsible for the design, development, and maintenance of databases. They work with a team of engineers to create databases that can store and manage data. This course may be useful for Database Administrators who want to learn how to use Video Indexer to store and manage video data. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be stored in a database for further analysis.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products or features. They work with a team of engineers, designers, and marketers to bring a product to market. This course may be helpful for Product Managers who want to learn how to use Video Indexer to better understand their customers. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to gain insights into customer behavior, product usage, and other business-critical factors.
Data Engineer
Data Engineer
A Data Engineer is responsible for the design, development, and maintenance of data pipelines. They work with a team of engineers to create data pipelines that can collect, process, and store data. This course may be helpful for Data Engineers who want to learn how to use Video Indexer to build video analysis pipelines. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to build pipelines that can analyze video data and extract insights.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for the development and execution of marketing campaigns. They work with a team of marketers to create and execute campaigns that reach the target audience and achieve the marketing objectives. This course may be helpful for Marketing Managers who want to learn how to use Video Indexer to better understand their customers. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to gain insights into customer behavior, product usage, and other business-critical factors.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. They work with a team of business stakeholders to gather requirements, analyze data, and develop recommendations. This course may be useful for Business Analysts who want to learn how to use Video Indexer to better understand their customers. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to gain insights into customer behavior, product usage, and other business-critical factors.
Software Engineer
Software Engineer
A Software Engineer is responsible for the design, development, and maintenance of software applications. They work with a team of engineers to create software that meets the needs of the business. This course may be helpful for Software Engineers who want to learn how to use Video Indexer to build video analysis applications. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to build applications that can analyze video data and extract insights.
User Experience (UX) Designer
User Experience (UX) Designer
A User Experience (UX) Designer is responsible for the design of user interfaces and experiences. They work with a team of designers and engineers to create user interfaces that are easy to use and enjoyable. This course may be helpful for UX Designers who want to learn how to use Video Indexer to better understand their users. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to gain insights into user behavior, product usage, and other business-critical factors.
Technical Writer
Technical Writer
A Technical Writer is responsible for the creation and maintenance of technical documentation. They work with a team of engineers and designers to create documentation that can be used to explain complex technical concepts. This course may be useful for Technical Writers who want to learn how to use Video Indexer to create and maintain video documentation. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to create documentation that is easy to read and understand.
eLearning Developer
eLearning Developer
An eLearning Developer is responsible for the design and development of e-learning courses. They work with a team of instructional designers and e-learning developers to create online courses that are engaging and effective. This course may be useful for eLearning Developers who want to learn how to use Video Indexer to create and develop video-based e-learning courses. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to create e-learning courses that are tailored to the needs of the learners.
Information Architect
Information Architect
An Information Architect is responsible for the design and organization of information systems. They work with a team of designers and engineers to create information systems that are easy to use and find information. This course may be useful for Information Architects who want to learn how to use Video Indexer to organize and manage video data. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to create information systems that can analyze video data and extract insights.
Knowledge Manager
Knowledge Manager
A Knowledge Manager is responsible for the creation, organization, and dissemination of knowledge within an organization. They work with a team of knowledge workers to create and maintain knowledge bases that can be used to support decision-making and problem-solving. This course may be useful for Knowledge Managers who want to learn how to use Video Indexer to create and manage video knowledge bases. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to create knowledge bases that can be searched and analyzed.
Instructional Designer
Instructional Designer
An Instructional Designer is responsible for the design and development of educational materials. They work with a team of educators and instructional designers to create learning materials that are engaging and effective. This course may be useful for Instructional Designers who want to learn how to use Video Indexer to create and develop video-based learning materials. Video Indexer can extract transcripts, sentiments, translations, and other metadata from videos, which can be used to create learning materials that are tailored to the needs of the learners.
For more career information including salaries, visit:
OpenCourser.com/course/8o4qgr/build
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
Build a Video Indexer with Microsoft Azure Cognitive Service.
Provides a comprehensive overview of deep learning for computer vision. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive overview of deep learning using Python, covering fundamental concepts, models, and applications in various domains.
Save
Provides a comprehensive overview of computer vision algorithms and applications. It valuable resource for anyone looking to learn more about this field.
Provides hands-on experience with machine learning using popular Python libraries, focusing on practical applications.
Provides a solid mathematical foundation for machine learning, covering essential concepts from linear algebra, calculus, and probability theory.
Provides a comprehensive and practical guide to machine learning using Python, covering a variety of algorithms and techniques.
Save
Offers a comprehensive and in-depth treatment of deep learning, covering fundamental concepts, models, and applications.
Provides a comprehensive overview of pattern recognition and machine learning. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive overview of computer vision. It valuable resource for anyone looking to learn more about this field.
Provides a comprehensive overview of image and video processing. It valuable resource for anyone looking to learn more about this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8o4qgr/build
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Microsoft Azure Cognitive Services: Video Indexer API
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Microsoft Azure Cognitive Services: Video Indexer API
Time
22 hours
Level
Intermediate
Via
Pluralsight
Instructor
Niraj Joshi
Language
English
Good to know
Explores the use of Azure's Video Indexer service, which is a widely used tool in the video analytics industry
Provides hands-on experience with the Video Indexer API and SDK, allowing learners to apply their knowledge in practical scenarios
Taught by Niraj Joshi, who has expertise in video analytics and the Azure platform
Suitable for learners interested in developing video analytics skills using Azure AI services
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