Implementing an Azure Cognitive Search Solution

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MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 8 Lectures (1h) | Size: 293 MB
Description

This course focuses on the skills necessary to implement a knowledge-mining solution with a focus on the Cognitive Search solution. The course 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 course 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 course, 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
Resources

https://github.com/brharr/azure-search-examples

https://cloudacademy.com/course/implementing-azure-cognitive-search-solution-1580/introduction/

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