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.
Author Name: Niraj Joshi
Author Description:
Niraj is a AWS/Azure DevSecOps Cloud Specialist with over a decade of work experience into Data Modeling with Databases like Cassandra, MongoDB, SparkSQL, ElasticSearch and SQL Server. He has over 7 years of work ex into Computer Vision, Artificial Intelligence, DevOps, Machine Learning and Big Data Stack, he has been a consultant to companies like CISCO, ERICSSON, Dynamic Elements and JP Morgan He has excellent data visualization/ analytics skills and quite proficient in languages like Python ,… more

Table of Contents

• Course Overview
  1min
• Evaluating the Video Indexer Service
  5mins
• Extracting Insights with Video Indexer Service
  8mins
• Applying Inbuilt Models for Extracting Insights
  7mins