Implementing an Azure Cognitive Search Solution

Difficulty: Intermediate
Duration: 4 minutes and 3 seconds
Students: 623
Rating: 4.1/5

This lesson focuses on the skills necessary to implement a knowledge-mining solution with a focus on the Cognitive Search solution. The lesson will walk through how to create a Cognitive Search solution and how to set up the process for importing data. Once the data sources have been set up properly, the lesson will teach you how to create a search index and then how to configure it to provide the best results possible.

Learning Objectives

  • Create a Cognitive Search solution
  • Import from data sources
  • Create, configure, and test indexes
  • Configure AutoComplete and AutoSuggest
  • Improve results based on relevance
  • Implement synonyms

Intended Audience

  • Developers who want to include full-text search in their applications
  • Data engineers focused on providing better accessibility to organizational data
  • AI engineers that provide AI combined with search functionality in their solutions

Prerequisites

To get the most out of this lesson, you should:

  • Have a strong understanding of data sources and how data will be needed by users consuming a Cognitive Search solution
  • Be able to use REST-based APIs and SDKs to build knowledge-mining solutions on Azure

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