Implement AI Skills in Azure AI Search (AI-3022) [M-AI3022]

OVERVIEW

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.

CONTENT

1- Create an Azure AI Search solution

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

2- Create a custom skill for Azure AI Search

• Implement a custom skill for Azure AI Search
• Create a custom text classification skill
• Create a machine learning custom skill

3- Create a knowledge store with Azure AI Search

• Create a knowledge store from an Azure AI Search pipeline
• View data in projections in 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

• 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

6- Maintain an Azure AI Search solution

• Familiarity with Microsoft Azure
• Application development experience with C# or Python
• Experience of building a basic search solution with Azure AI Search. If you've not completed the Create an Azure AI Search solution
  module, you should do so before starting this module.

7- Perform search reranking with semantic ranking in Azure AI Search

• Describe semantic ranking
• Set up semantic ranking
• Perform semantic ranking on an index

8- Perform vector search and retrieval in Azure AI Search

• Describe vector search
• Describe embeddings
• Run vector search queries using the REST API