Course
Implement knowledge mining with Azure AI Search – Intensive Training («AI322»)
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.
Duration
1 day
Price
900.–
Course documents
Official Microsoft Courseware on Microsoft Learn
Course facts
Key Learnings
- Creating Azure AI Search solutions and developing search applications
- Implementing custom skills, including text classification and machine learning skills, for Azure AI Search
- Working with knowledge stores, including creating them from pipelines and viewing data in projections
- Improving search result ranking and relevance through techniques like term boosting and scoring profiles
- Enhancing indexes with analyzers, tokenized terms, and multi-language support
- Utilizing Azure Data Factory and the Azure AI Search push API for data ingestion
- Enriching indexes using Language Studio and custom classes
- Understanding and implementing semantic and vector search, including embeddings and REST API queries
Content
1 Create an Azure AI Search solution
Unlock the hidden insights in your data with Azure AI Search.
2 Create a custom skill for Azure AI Search
Use the power of artificial intelligence to enrich your data and find new insights with custom skills in Azure AI Search.
3 Create a knowledge store with Azure AI Search
Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing.
4 Implement advanced search features in Azure AI Search
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.
5 Search data outside the Azure platform in Azure AI Search using Azure Data Factory
Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
6 Maintain an Azure AI Search solution
Maintain the performance, cost, and reliability of your Azure AI Search solutions.
7 Perform search reranking with semantic ranking in Azure AI Search
Learn how to perform L2 ranking with semantic ranker in Azure AI Search.
8 Perform vector search and retrieval in Azure AI Search
Learn how to perform vector search and retrieval in Azure AI Search.
Target audience
Roles: AI Engineer, Developer, Solution Architect, Student
Requirements
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
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Questions
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But we can arrange one for you. We will be happy to advise you individually on your course planning.
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