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AI-3022: Implement knowledge mining with Azure AI Search

Learn new skills and discover the power of Microsoft Azure with step-by-step guidance.

Hidden Data Insights

Advanced Search Solutions

AI Career Growth

Instructor-led

Official Courseware

Flexible Schedule

Guaranteed To Run

Learn how to extract insights and build smart search solutions using Azure Cognitive Search in this intermediate‑level Microsoft Learn path. This course teaches you how to design, implement, and maintain knowledge mining pipelines that unlock value from both structured and unstructured data across platforms. You’ll gain hands‑on experience creating AI‑enriched indexes, building custom skills, and exploring advanced search features like semantic ranking and vector search. Through real‑world modules, this course equips developers and AI professionals with the skills to integrate Azure AI Search into applications that deliver richer and more relevant search experiences.

Course Overview

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

Level : Intermediate

Type : Instructor led Live online or Classroom

Length : 1 day

Labs : Included

Practice Test : Included

Who should take this course

Developers building AI search and knowledge mining solutions.
AI engineers leveraging Azure Cognitive Search.
Cloud data professionals extracting insights from unstructured data.
Solution architects designing scalable AI search applications.
Software engineers with intermediate cloud experience.
Tech professionals optimizing application search relevance.
Data analysts improving data discoverability.
Python or C# developers building intelligent apps.

Prerequisites

Familiarity with Microsoft Azure cloud platform.

Experience with programming languages like Python or C#

What you'll learn

Create Azure AI Search solutions and indexes.
Enrich data with custom AI skills.
Build knowledge stores for downstream analysis.
Implement advanced search features and relevancy tuning.
Incorporate data from external sources with Azure Data Factory.
Maintain and optimize search performance.
Apply semantic ranking for more relevant results.
Use vector search and retrieval in search applications.

Certificate

Not Applicable

Training Mode

Instructor-led Virtual online live Training.

Weekend Classes

Evening Classes

Weekdays Classes

Course Outline

Module 1: Create an Azure AI Search solution

Manage capacity
Understand search components
Understand the indexing process
Search an index
Apply filtering and sorting
Enhance the index

Module 2: Create a custom skill for Azure AI Search

Define the custom skill schema
Add a custom skill
Custom text classification skill
Machine learning custom skill

Module 3: Create a knowledge store with Azure AI Search

Define projections
Define a knowledge store

Module 4: 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

Module 5: Search data outside the Azure platform in Azure AI Search using Azure Data Factory