The Implement Knowledge Mining with Azure AI Search (AI-3022) course is a 1-day training program focused on Azure AI Search for knowledge mining. Participants will learn about indexing, skillsets, semantic ranking, and vector search capabilities. Delivered by Esamatic srl, Microsoft Learning Partner in Milan, with Microsoft Certified Trainers.
Organizations sit on vast amounts of unstructured data that contain valuable insights. Azure AI Search provides a powerful knowledge mining platform that can ingest, enrich, index, and search across documents, images, and other content types. This course teaches participants to build knowledge mining solutions using indexers, AI-powered skillsets for content enrichment, semantic ranking for relevance, and vector search for AI-powered retrieval.
This course is ideal for search engineers, data engineers, AI developers, and solution architects who need to implement knowledge mining and enterprise search solutions on Azure.
Enterprise search and knowledge mining are critical capabilities as organizations seek to unlock value from their data. Azure AI Search expertise is increasingly important as it serves as the retrieval backbone for RAG-based AI applications and enterprise knowledge systems.
Yes. Azure Cognitive Search was renamed to Azure AI Search. The course covers the latest features and capabilities under the current Azure AI Search branding.
Basic familiarity with REST APIs and JSON is helpful. The course uses both the Azure portal and REST API calls, with some Python code in the labs.
Azure AI Search is commonly used as the retrieval component in RAG architectures, providing grounded data to large language models. This course covers both standalone search scenarios and RAG integration patterns.
Yes. The labs include indexing real documents, configuring AI enrichment pipelines, and building search experiences with semantic and vector capabilities.
