AI-3022 | Implement knowledge mining with Azure AI Search
 
Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data and enable applications to search and analyze them.
 
Prerequisites
Familiarity with Microsoft Azure.
Application development experience with C# or Python.

Role
AI Engineer
Developer
Solution Architect
Student

Course Outline
Module 1: Create an Azure AI Search solution
Unlock the hidden insights in your data with Azure AI Search.
Introduction
Manage capacity
Understand search components
Understand the indexing process
Search an index
Apply filtering and sorting
Enhance the index
Exercise - Create a search solution
Knowledge check
Summary
Module 2: Create a custom skill for Azure AI Search
Use the power of artificial intelligence to enrich your data and find new insights with custom skills in Azure AI Search.
Introduction
Define the custom skill schema
Add a custom skill
Custom text classification skill
Machine learning custom skill
Exercise - Create a Custom Skill for Azure AI Search
Knowledge check
Summary
Module 3: Create a knowledge store with Azure AI Search
Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing.
Introduction
Define projections
Define a knowledge store
Exercise - Create a knowledge store
Knowledge check
Summary
Module 4: Implement advanced search features in Azure AI Search
Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost terms, and allow searching in multiple languages.
Introduction
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
Exercise: Implement enhancements to search results
Knowledge check
Summary
Module 5: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
Introduction
Index data from external data sources using Azure Data Factory
Index any data using the Azure AI Search push API
Exercise: Add to an index using the push API
Knowledge check
Summary
Module 6: Maintain an Azure AI Search solution
Maintain the performance, cost, and reliability of your Azure AI Search solutions.
Introduction
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
Exercise - Debug search issues
Knowledge check
Summary
Module 7: Perform search reranking with semantic ranking in Azure AI Search
Learn how to perform L2 ranking with semantic ranker in Azure AI Search.
Introduction
What is semantic ranking?
Set up semantic ranking
Exercise - Use semantic ranking on an index
Knowledge check
Summary
Module 8: Perform vector search and retrieval in Azure AI Search
Learn how to perform vector search and retrieval in Azure AI Search.
Introduction
What is vector search?
Prepare your search
Understand embedding
Exercise - Use the REST API to run vector search queries
Knowledge check
Summary
 
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