Create an Azure AI Search solution
In this module you'll learn how to:
- Create an Azure AI Search solution
- Develop a search application
Learn how to define and implement a custom skill in Azure AI Search.
In this module you'll learn how to:
- Implement a custom skill for Azure AI Search
- Create a custom text classification skill
- Create a machine learning custom skill
Create a knowledge store with Azure AI Search
In this module you'll learn how to:
- Create a knowledge store from an Azure AI Search pipeline
- View data in projections in a knowledge store
Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost the most important terms to your organization, and allow searching in multiple languages.
In this module, you'll learn how to:
- 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
Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
In this module, you'll learn how to:
- Use Azure Data Factory to copy data into an Azure AI Search Index
- Use the Azure AI Search push API to add to an index from any external data source
Maintain the performance, cost, and reliability of your Azure AI Search solutions.
In this module, you'll learn how to:
- Use Language Studio to enrich Azure AI Search indexes
- Enrich an AI Search index with custom classes
Perform search reranking with semantic ranking in Azure AI Search.
By the end of this module, you'll be able to:
- Describe semantic ranking
- Set up semantic ranking
- Perform semantic ranking on an index
Perform vector search and retrieval in Azure AI Search.
By the end of this module, you'll learn how to:
- Describe vector search
- Describe embeddings
- Run vector search queries using the REST API

Syllabus

Create an Azure AI Search solution
- 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
- Module assessment
- Summary
Create a custom skill for 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
- Module assessment
- Summary
Create a knowledge store with Azure AI Search
- Introduction
- Define projections
- Define a knowledge store
- Exercise - Create a knowledge store
- Module assessment
- Summary
Implement advanced search features in Azure AI Search
- 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
- Module assessment
- Summary
Search data outside the Azure platform in Azure AI Search using Azure Data Factory
- 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
- Module assessment
- Summary
Maintain an Azure AI Search solution
- 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
- Module assessment
- Summary
Perform search reranking with semantic ranking in Azure AI Search
- Introduction
- What is semantic ranking?
- Set up semantic ranking
- Exercise - Use semantic ranking on an index
- Module assessment
- Summary
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
- Module assessment
- Summary