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.
Course Overview Hi, everyone. My name is Niraj Joshi. Welcome to my course, Build a Video Indexer with Microsoft Azure Cognitive Service. I am a cloud machine learning architect. 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 one of the state‑of‑the‑art Azure cognitive service called Video Indexer to do video analysis to extract enriching insights. Some of the major topics that we will cover include reasons to use Video Indexer service, benefits of Video Indexer service, use cases that can be resolved with Video Indexer service. By the end of this course, you will know the steps to gather insights from the video and use state‑of‑the‑art offering called Video Indexer from Azure Cognitive Service. I hope you will join me on this exciting journey to learn importance of video analytics using Video Indexer with the Build a Video Indexer with Microsoft Azure Cognitive Service course, at Pluralsight.