Implement knowledge mining with Azure AI Search (AI-3022)

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

• Index data from external data sources using Azure Data Factory
• Index any data using the Azure AI Search push API

Module 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

Module 7: Perform search reranking with semantic ranking in Azure AI Search

• What is semantic ranking
• Set up semantic ranking

Module 8: Perform vector search and retrieval in Azure AI Search

• What is vector search
• Prepare your search
• Understand embedding