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

AI-3022 is about building search solutions on Azure AI Search that go beyond basic keyword matching. You'll work with custom skills, data enrichment, and machine learning to improve what search returns and how it ranks results.

📘 Azure 👥 138 Enrolled ⏱️ 1 Day 💼 Foundation Level ⭐ 5 | 23 Reviews

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| AI-3022: Implement knowledge mining with Azure AI

Course Overview

This course trains you to build and manage search solutions using Azure AI Search. You'll create custom search applications, enrich data with Azure AI Language and machine learning models, and configure advanced search features. It covers the full cycle, from ingesting data to improving search relevance. By the end, you'll know how to set up a search system on Azure that handles real workloads and gives users results worth clicking on.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

Upcoming Schedules

Start Date Time Duration Mode Price
Apr 10, 2026 9:00 am - 5:00 pm 1 Day online
$599
Apr 24, 2026 9:00 am - 5:00 pm 1 Day online
$599
May 08, 2026 9:00 am - 5:00 pm 1 Day online
$599
May 22, 2026 9:00 am - 5:00 pm 1 Day online
$599
Jun 05, 2026 9:00 am - 5:00 pm 1 Day online
$599
+ View more schedules

What you will learn

  • 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.

Who Should Attend This Course?

  • AI Engineer
  • Azure Developer

Prerequisites

  • Familiarity with Microsoft Azure
  • Application development experience with C# or Python

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📘 AI-3022: Implement knowledge mining with Azure AI Search Outline

  • Create an Azure AI Search solution
  • Develop a search application
  • Lab: Create a search solution
  • Implement a custom skill for Azure AI Search
  • Integrate a custom skill into an Azure AI Search skillset
  • Lab: Implement a custom skill
  • Create a knowledge store from an Azure AI Search pipeline
  • View data in projections in a knowledge store
  • Lab: Create a knowledge store
  • 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
  • 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
  • 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
  • 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
  • Use Language Studio to enrich Azure AI Search indexes
  • Enrich an AI Search index with custom classes
  • Lab: Debug search issues
  • Describe semantic ranking
  • Set up semantic ranking
  • Perform semantic ranking on an index
  • Lab: Use semantic ranking on an index
  • Describe vector search
  • Describe embeddings
  • Run vector search queries using the REST API
  • Lab: Use the REST API to run vector search queries

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