Remote Course for AI-3022: Implement knowledge mining with Azure AI Search

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Description
Content
Target Audience
Certificates

AI-3022 teaches participants how to unlock valuable insights from structured and unstructured data using Azure AI Search. The course focuses on building intelligent search solutions that go beyond keyword matching—enabling semantic understanding, data enrichment, and advanced retrieval techniques. Learners will create custom skills, build knowledge stores, and integrate external data sources using Azure Data Factory to power rich search experiences.

Through hands-on modules, participants will implement features such as semantic reranking, vector search, and custom enrichment pipelines. The course also covers maintaining and scaling Azure AI Search solutions for enterprise use. By the end, learners will be equipped to design and deploy intelligent search systems that transform raw data.

Contents:

Create an Azure AI Search solution to build intelligent search experiences from structured and unstructured data.
Create a custom skill for Azure AI Search to enrich data during indexing with tailored processing logic.
Create a knowledge store with Azure AI Search to organize enriched content for downstream analytics and visualization.
Implement advanced search features in Azure AI Search to enhance relevance and user experience.
Search data outside the Azure platform in Azure AI Search using Azure Data Factory to integrate external data sources into your search solution.
Maintain an Azure AI Search solution to ensure reliability, scalability, and performance over time.
Perform search reranking with semantic ranking in Azure AI Search to improve result relevance using semantic understanding.
Perform vector search and retrieval in Azure AI Search to enable similarity-based search using vector embeddings.

This course is intended for developers and technical professionals looking to build intelligent search solutions using Azure AI Search. Learners should be familiar with Microsoft Azure and have experience developing applications in C# or Python. It’s suitable for those aiming to implement semantic search, data enrichment, and scalable knowledge mining systems.

Implement knowledge mining with Azure AI Search, issued by Microsoft upon successful completion of the applied skills assessment.

Description

Content

Contents:

Create an Azure AI Search solution to build intelligent search experiences from structured and unstructured data.
Create a custom skill for Azure AI Search to enrich data during indexing with tailored processing logic.
Create a knowledge store with Azure AI Search to organize enriched content for downstream analytics and visualization.
Implement advanced search features in Azure AI Search to enhance relevance and user experience.
Search data outside the Azure platform in Azure AI Search using Azure Data Factory to integrate external data sources into your search solution.
Maintain an Azure AI Search solution to ensure reliability, scalability, and performance over time.
Perform search reranking with semantic ranking in Azure AI Search to improve result relevance using semantic understanding.
Perform vector search and retrieval in Azure AI Search to enable similarity-based search using vector embeddings.

Target Audience

Certificates

Implement knowledge mining with Azure AI Search, issued by Microsoft upon successful completion of the applied skills assessment.

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