Implement knowledge mining with Azure AI Search is a Microsoft Learn-based course for developers and architects who build enterprise search and knowledge mining solutions. Students learn to create Azure AI Search indexes, configure cognitive skillsets that apply AI enrichment to documents during indexing, implement semantic search and vector search for improved relevance, and integrate search into applications using the Azure AI Search SDKs.
What You Will Learn
- Create and configure Azure AI Search indexes with fields, analyzers, and scoring profiles
- Build cognitive skillsets using built-in and custom skills to enrich documents with AI-extracted metadata
- Implement semantic ranking and vector search for more relevant and intelligent search results
- Use knowledge store to persist enriched content for downstream analytics and visualization
- Integrate Azure AI Search into applications using REST API and Azure SDKs for Python, .NET, and JavaScript
Who Should Attend
Developers and solution architects building enterprise search, document intelligence, and RAG-based applications on Azure.
Prerequisites
Development experience (Python, C#, or JavaScript) and familiarity with Azure fundamentals and basic AI/ML concepts.
