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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

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

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

Content

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

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.

Certificates

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

Our students for us:

  • - Angela Petreska Accredited Academy for Interior Design

    The three things that left the biggest impression on me are the excellent communication with the entire team at Semos Education, the experienced instructors who possess vast knowledge and convey it to us in a fun and professional manner, and of course, the camaraderie within our group.

  • - Hristo Gigovski Student at the Accredited JavaScript Academy

    At Semos Education, the material is delivered through practical work by excellent instructors who selflessly share their knowledge. Thanks to all of this, along with my dedication, I have gained a solid foundation and knowledge that finally enabled me to pursue what I found myself in.

Contact

  • Irena Ivanovska Senior Director
    +389 70 246 146 irena@semos.com.mk