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hands-on lab

Azure AI Search

Difficulty: Intermediate
Duration: Up to 1 hour and 30 minutes
Students: 407
Rating: 4/5
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Description

Introduction

Azure AI Search (formerly known as "Azure Cognitive Search") is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.

Search is foundational to any app that surfaces text content to users, with common scenarios including catalog or document search, online retail, or knowledge mining for data science.

 

Across the Azure platform, AI Search can integrate with other Azure services in the form of indexers that automate data ingestion/retrieval from Azure data sources, and skillsets that incorporate consumable AI from Cognitive Services, such as image and natural language processing, or custom AI that you create in Azure Machine Learning or wrap inside Azure Functions.

Lab Objectives

Upon completion of this lab, you will be able to

  • Create Azure search service in portal
  • Create Azure search index
  • Create a demo app
  • Create a skill set and knowledge store

Intended Audience

This lab is intended for

  • Developers
  • Cloud engineers
  • Anyone aiming to implement azure ai search services

Prerequisites

You should be familiar with

  • The principles of the Azure Portal is helpful but not required

Updates

July 23rd, 2024 - Updated the instructions and screenshots to reflect the latest UI

September 22, 2023 - Resolved deployment issue

Covered topics

Microsoft Azure
Hands-on Lab UUID

Lab steps

Logging in to the Microsoft Azure Portal
Azure AI Search service in the portal
Create an Azure AI Search index in the Azure portal
Create a demo app in the portal
Use Search explorer to run queries

Lab Rules