Building Knowledge Mining Solutions with Azure AI Search

Organizations are flooded with unstructured data—PDFs, documents, and logs—containing valuable insights that remain hidden. This text-based course guides you through turning that raw data into searchable, structured knowledge using Azure AI Search. You will transition from understanding basic search concepts to building fully functional knowledge mining pipelines. By learning how to ingest, enrich, and index diverse data sources, you will unlock the power of AI-driven search solutions to find information instantly. What you'll learn: - Understand foundational search concepts, indexing architectures, and knowledge mining principles. - Configure data ingest pipelines to import unstructured data from cloud storage. - Apply AI enrichment skills to extract key phrases, perform entity recognition, and translate text. - Design and build custom search indexes with advanced analyzers and tokenizers. - Implement modern vector search and hybrid search patterns to support Retrieval-Augmented Generation (RAG). - Practice query syntax, filtering, and semantic ranking to deliver highly relevant search results. The course begins with core terminology and architectural basics before walking you through step-by-step index configuration, skillsets, and modern retrieval techniques. You will read clear explanations and analyze configuration examples to build a production-ready search solution. This course is designed for beginners, developers, and data enthusiasts looking to start with cloud search technologies, with no prior search engine experience required. Start reading today to transform your unstructured data into searchable assets.