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

COURSE OBJECTIVE:
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TARGET AUDIENCE:
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COURSE PREREQUISITES:
• Familiarity with Microsoft Azure • Application development experience with C# or Python

COURSE CONTENT:
1- Create an Azure AI Search solution • Create an Azure AI Search solution • Develop a search application2- 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 skill3- 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 store4- 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 point5- 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 source6- 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 index8- Perform vector search and retrieval in Azure AI Search • Describe vector search • Describe embeddings • Run vector search queries using the REST API

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