Azure AI Search provides a cloud-based solution for indexing and querying a wide range of data sources, and creating comprehensive and high-scale search solutions. With Azure AI Search, you can: Index documents and data from a range of sources, use cognitive skills to enrich index data, and store extracted insights in a knowledge store for analysis and integration.

The audience for this course includes AI Engineers, Solution Architects and Developers. Some familiarity with Microsoft Azure and Application development experience with C# or Python is recommended.

Before attending this course, students should have:

• Familiarity with Microsoft Azure
• Application development experience with C# or Python

After completing this course, students will be able to:

• Create an Azure AI Search solution
• Develop a search application

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

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
• Create a Custom Skill for Azure AI Search

Create a knowledge store with Azure AI Search

• Define projections
• Define a knowledge store
• Create a knowledge store

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 analysers and tokenized terms
• Enhance an index to include multiple languages
• Improve search experience by ordering results by distance from a given reference point
• Implement enhancements to search results

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
• Exercise: Add to an index using the push API

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
• Exercise - Debug search issues

Perform search reranking with semantic ranking in Azure AI Search

• What is semantic ranking?
• Set up semantic ranking
• Exercise - Use semantic ranking on an index

Perform vector search and retrieval in Azure AI Search

• What is vector search?
• Prepare your search
• Understand embedding
• Use the REST API to run vector search queries