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  • AI-3022: Implement knowledge mining with Azure AI Search

AI-3022: Implement AI Skills in Azure AI Search teaches you to build intelligent search solutions using Azure AI. Master custom skills, data enrichment, advanced search features, and integrate Machine Learning for enhanced search performance.

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AI-3022: Implement knowledge mining with Azure AI Search Training

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( 4.6 Ratings )

Live Online Classes starting on 01 January, 1970

AI-3022: Implement knowledge mining with Azure AI Search

The AI-3022: Implement AI Skills in Azure AI Search course equips learners with the expertise to build, enhance, and manage search solutions using Azure AI Search. Participants will gain hands-on experience in creating custom AI search applications, integrating advanced search features, and enriching data using Azure AI Language and Machine Learning models. This course covers the full cycle of developing a powerful AI-driven search solution, from data ingestion to search relevance improvement, ensuring participants are prepared to implement scalable and intelligent search systems in Azure.

 

Target Audience

  • AI Engineer

  • Azure Developer

 

Prerequisites
Required:

  • Familiarity with Microsoft Azure

  • Application development experience with C# or Python

 

Course Objectives

  • Build and deploy a comprehensive Azure AI Search solution

  • Develop and integrate custom skills to enhance Azure AI Search

  • Create and manage a knowledge store for enriched search experiences

  • Use Azure AI Language to enrich search indexes with custom classes

  • Implement advanced search features, including term boosting and multi-language support

  • Leverage Azure Machine Learning models to enhance AI search capabilities

  • Integrate external data sources using Azure Data Factory and the push API

  • Perform semantic ranking and vector search for improved search accuracy

 

Course Outline

1) Create an Azure AI Search solution

  • Create an Azure AI Search solution

  • Develop a search application

  • Lab: Create a search solution

2) Create a custom skill for Azure AI Search

  • Implement a custom skill for Azure AI Search

  • Integrate a custom skill into an Azure AI Search skillset

  • Lab: Implement a custom skill

3) Create a knowledge store with Azure AI Search

  • Create a knowledge store from an Azure AI Search pipeline

  • View data in projections in a knowledge store

  • Lab: Create a knowledge store

4) Enrich your data with Azure AI Language

  • Use Azure AI Language to enrich Azure AI Search indexes

  • Enrich an AI Search index with custom classes

  • Lab: Enrich a search index in Azure AI Search with custom classes

5) Implement advanced search features in Azure AI Search

  • Improve the ranking of a document with term boosting

  • Improve the relevance of results by adding scoring profiles

  • Improve an index with analyzers and tokenized terms

  • Enhance an index to include multiple languages

  • Improve search experience by ordering results by distance from a given reference point

  • Lab: Implement enhancements to search results

6) Build an Azure Machine Learning custom skill for Azure AI Search

  • Understand how to use a custom Azure Machine Learning skillset

  • Use Azure Machine Learning to enrich Azure AI Search indexes

  • Lab: Enrich a search index using Azure Machine Learning model

7) Search data outside the Azure platform in Azure AI Search using Azure Data Factory

  • Use Azure Data Factory to copy data into an Azure AI Search Index

  • Use the Azure AI Search push API to add to an index from any external data source

  • Lab: Add to an index using the push API

8) Maintain an Azure AI Search solution

  • Use Language Studio to enrich Azure AI Search indexes

  • Enrich an AI Search index with custom classes

  • Lab: Debug search issues

9) Perform search reranking with semantic ranking in Azure AI Search

  • Describe semantic ranking

  • Set up semantic ranking

  • Perform semantic ranking on an index

  • Lab: Use semantic ranking on an index

10) Perform vector search and retrieval in Azure AI Search

  • Describe vector search

  • Describe embeddings

  • Run vector search queries using the REST API

  • Lab: Use the REST API to run vector search queries

(4.6 Ratings)

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