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.
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Skills Covered
- Create an Azure AI Search solution
- Create a custom skill for Azure AI Search
- Create a knowledge store with Azure AI Search
- Implement advanced search features in Azure AI Search
- Search data outside the Azure platform in Azure AI Search using Azure Data Factory
- Maintain an Azure AI Search solution
- Perform search reranking with semantic ranking in Azure AI Search
- Perform vector search and retrieval in Azure AI Search
Who Should Attend
- AI Engineer
- Developer
- Solution Architect
- Student
Course Curriculum
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
Download Course Syllabus
Course Modules
Unlock the hidden insights in your data with Azure AI Search.
Learning objectives
In this module you’ll learn how to:
- Create an Azure AI Search solution
- Develop a search application
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
Use the power of artificial intelligence to enrich your data and find new insights with custom skills in Azure AI Search.
Learning objectives
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
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
- Experience of building a basic search solution with Azure AI Search. If you haven’t completed the Create an Azure AI Search solution module, you should do so before starting this module.
Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing.
Learning objectives
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
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
- Experience of creating an enrichment pipeline with Azure AI Search If you haven’t completed the Create an Azure AI Search solution module, do so before starting this module.
Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost terms, and allow searching in multiple languages.
Learning objectives
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
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
- Experience of building a basic search solution with Azure AI Search. If you haven’t completed the Create an Azure AI Search solution module, you should do so before starting this module
Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
Learning objectives
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
Prerequisites
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
- Experience of building a basic search solution with Azure AI Search. If you haven’t completed the Create an Azure AI Search solution module, you should do so before starting this module
- Experience using Azure Data Factory for data integration
Maintain the performance, cost, and reliability of your Azure AI Search solutions.
Learning objectives
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
Prerequisites
- 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.
Learn how to perform L2 ranking with semantic ranker in Azure AI Search.
Learning objectives
By the end of this module, you’ll be able to:
- Describe semantic ranking
- Set up semantic ranking
- Perform semantic ranking on an index
Prerequisites
- Familiarity with Microsoft Azure
- Familiarity with Azure AI Search
- Application development experience
Learn how to perform vector search and retrieval in Azure AI Search.
Learning objectives
By the end of this module, you’ll learn how to:
- Describe vector search
- Describe embeddings
- Run vector search queries using the REST API
Prerequisites
- Familiarity with Microsoft Azure
- Familiarity with Azure AI Search
- Application development experience
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Training Options
- VILT: Virtual Instructor-Led Training
- ILT: Instructor-Led Training
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Exam & Certification
This course is not associated with any Certification.
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