AI-3022

AI-3022 - Implement AI Skills in Azure AI Search

Course Duration: 7 Hours

Delivery Methods: Classroom Training - Instructor Led or Online


COURSE OVERVIEW

Learn how to implement AI skills using Azure AI Search to enhance organizational search capabilities. This course provides hands-on training to integrate AI-driven search functionalities into business workflows, enabling intelligent information retrieval and improved productivity.


WHO SHOULD ATTEND?

This course is ideal for developers, AI engineers, solution architects and anyone with a background in Azure portal and some programming experience preferably in C# or Python. This course is also suitable for anyone seeking to enhance their knowledge of Azure Cognitive Search and its applications in enterprise environments.


COURSE OBJECTIVES

  • Describe Copilot for Microsoft 365. 
  • Describe Azure AI Search and its functionalities. 
  • Describe the architecture and components of Azure AI Search. 
  • Identify key features and capabilities of Azure Cognitive Search. 
  • Configure and deploy Azure AI Search solutions. 
  • Customize search indexes to meet specific business requirements. 
  • Implement AI enrichment pipelines for advanced data processing. 
  • Integrate external data sources into Azure Cognitive Search 

Course Outline

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 
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 
3 - Create a knowledge store with Azure AI Search
  • Define projections
  • Define a knowledge store
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 
5 - Search data outside the Azure platform in Azure AI Search using Azure Data Factory
  • Index data from external data sources using Azure Data Factory
  • Index any data using the Azure AI Search push API
6 - Maintain an Azure AI Search solution
  • Manage security of an Azure AI Search solution 
  • Optimize performance of an Azure AI Search solution 
  • Manage costs of an Azure AI Search solution 
  • Improve reliability of an Azure AI Search solution 
  • Monitor an Azure AI Search solution 
  • Debug search issues using the Azure portal 
7 - Perform search reranking with semantic ranking in Azure AI Search
  • What is semantic ranking? 
  • Set up semantic ranking 
  • What is vector search? 
  • Prepare your search 
  • Understand embedding 
Dates & Times

* Actual dates may vary.