© AFI Expertise inc. |
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. |
Audience | - AI Engineer
- Developer
- Solutions Architect
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Prerequisites | - Familiarity with Microsoft Azure
- Application development experience with C# or Python
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Objectives | - Understand the fundamental concepts of AI: Participants will learn the basics of artificial intelligence, including commonly used algorithms and models.
- Develop programming skills: Participants will be able to code AI solutions using programming languages such as Python.
- Apply machine learning techniques: Participants will learn to use supervised and unsupervised learning techniques to solve real-world problems.
- Integrate AI solutions into applications: Participants will know how to integrate AI models into existing applications to enhance their functionality.
- Evaluate and optimize AI models: Participants will be able to assess the performance of AI models and optimize them for better results.
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Teaching method | With an Instructor |
Contents | Titre du module - 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
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