Microsoft Azure Cognitive Services: Video Indexer API from Pluralsight

Azure Cognitive Services Video Indexer integrates artificial intelligence into the processing of video and audio files. Learn how to leverage the power of the Video Indexer API to automate the processing and interpretation of media content.

Azure Cognitive Services provides powerful artificial intelligence functionality as a service. Cognitive Services Video Indexer leverages Azure Cognitive Services to implement the analysis and interpretation of video and audio content. This course, Microsoft Azure Cognitive Services: Video Indexer API, explores the functionality of the Video Indexer API to programmatically automate the processing of media assets using the Video Indexer service with C# and Python. First, you’ll explore authentication and authorization using API keys to retrieve access tokens, along with the use of access tokens to call service methods. Next, you’ll focus on the indexing of content and how to effectively process a large number of media assets. Searching and playing content using the API will also be covered, allowing the Video Indexer to be integrated with web sites and applications. Finally, you’ll examine how to edit and correct audio transcripts, along with the use of language translation to provide closed captions to audiences in different regions. By the end of this course, you’ll have a working knowledge of how to harness the power of Azure Cognitive Services for video and audio analysis.

What's inside

Syllabus

Course Overview

Cognitive Services, Video Indexer & Media Services

Video Indexer API Overview

Indexing Video and Audio Content

Searching and Playing Video and Audio Content

Managing Video and Audio Content

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on practical application and uses C# and Python code samples to illustrate Video Indexer implementation

Suitable for beginners interested in exploring video and audio analysis using Azure Cognitive Services

Develops skills in using the Video Indexer API for indexing, searching, and managing video and audio content

Taught by experienced instructors, Alan Smith

Part of a larger series, providing opportunities for further exploration of related topics

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 Microsoft Azure Cognitive Services: Video Indexer API with these activities:

Refresh your Python programming skills

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Ensures that the student has a solid foundation in Python, which is essential for working with the Video Indexer API.

Browse courses on Python Programming

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Review Python syntax and data structures
Practice writing simple Python programs

Read "Deep Learning for Coders with Fastai and PyTorch"

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Provides a comprehensive overview of deep learning concepts, which are foundational for understanding the underlying algorithms used in the Video Indexer service.

View Deep Learning for Coders with Fastai and... on Amazon

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Read the book and work through the exercises
Implement the algorithms in the book using Python

Practice indexing videos and audio files

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Reinforces the practical application of video and audio indexing concepts covered in the course.

Browse courses on Video Indexing

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Create a list of video and audio files to index
Use the Video Indexer API to index the files
Review the indexing results and identify any errors

One other activity

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Follow tutorials on advanced indexing techniques

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Provides additional insights and skills for implementing more sophisticated indexing techniques.

Browse courses on Cognitive Services

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Identify advanced indexing techniques to explore
Find relevant tutorials and documentation
Follow the tutorials and implement the techniques

Career center

Learners who complete Microsoft Azure Cognitive Services: Video Indexer API will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists collect, analyze, and interpret large amounts of data to extract meaningful insights and patterns. This course is especially relevant to Data Scientists because it provides them with the skills to analyze video and audio content, which can be a valuable source of data for training machine learning models and developing data-driven solutions.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. This course can help Machine Learning Engineers build a foundation in video and audio analysis, which is a key component of many machine learning applications.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course can help Software Engineers gain the skills they need to develop applications that can analyze and process video and audio content.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can help Data Analysts develop the skills they need to analyze video and audio content, which can be a valuable source of data for making informed decisions.

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Product Manager

Product Managers are responsible for defining and managing the development of products. This course can help Product Managers understand the potential of video and audio analysis, and how it can be used to create innovative products and services.

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Business Analyst

Business Analysts analyze business processes and develop solutions to improve efficiency and productivity. This course can help Business Analysts understand how video and audio analysis can be used to gain insights into customer behavior and improve business operations.

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Marketing Manager

Marketing Managers develop and execute marketing campaigns to promote products and services. This course can help Marketing Managers understand how video and audio analysis can be used to track the effectiveness of marketing campaigns and gain insights into customer behavior.

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Sales Manager

Sales Managers are responsible for leading and motivating sales teams to achieve revenue targets. This course can help Sales Managers understand how video and audio analysis can be used to identify potential customers and close deals.

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Customer Success Manager

Customer Success Managers are responsible for ensuring that customers are satisfied with products and services. This course can help Customer Success Managers understand how video and audio analysis can be used to identify customer needs and resolve issues.

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Technical Writer

Technical Writers create documentation and other materials to explain technical concepts and products. This course can help Technical Writers develop the skills they need to create clear and concise documentation for video and audio analysis technologies.

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Educator

Educators teach students in a variety of settings. This course can help Educators develop the skills they need to use video and audio analysis to create interactive and engaging learning experiences.

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Librarian

Librarians organize and manage information resources. This course can help Librarians develop the skills they need to use video and audio analysis to catalog and retrieve information.

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Archivist

Archivists preserve and manage historical records. This course can help Archivists develop the skills they need to use video and audio analysis to digitize and preserve historical materials.

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Museum curator

Museum Curators are responsible for the care and preservation of museum collections. This course can help Museum Curators develop the skills they need to use video and audio analysis to document and interpret museum objects.

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Forensic Scientist

Forensic Scientists analyze evidence to determine the cause of a crime. This course can help Forensic Scientists develop the skills they need to use video and audio analysis to analyze evidence and solve crimes.

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