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Seminarinhalt
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Programm
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
- Create a custom skill
- Add a custom skill to a skillset
- Define projections
- Define a knowledge store
- Explore the available features of Azure AI Language
- Enrich a search index in Azure AI Search with custom classes and Azure AI Language
- 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
- Understand how to use a custom Azure Machine Learning skillset
- Enrich a search index using an Azure Machine Learning model
- Index data from external data sources using Azure Data Factory
- Index any data using the Azure AI Search push API
- 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
- What is semantic ranking?
- Set up semantic ranking
- What is vector search?
- Prepare your search
- Understand embedding
Zielgruppen
- AI Engineer
- Developer
- Solution Architect
- Azure AI Search
Vorkenntnisse
- Vertrautheit mit Microsoft Azure
- Erfahrung bei der Anwendungsentwicklung mit C# oder Python
