Entity Linking with Azure AI Language: Connecting Text to Knowledge Bases

In a world flooded with unstructured text, extracting meaningful context is a major challenge for modern applications. Entity linking solves this by identifying key terms in your text and connecting them directly to rich, external knowledge bases. This text-based course guides you through the foundational concepts of natural language processing (NLP) and entity resolution. You will learn how to leverage Azure AI Language to automatically disambiguate terms, enrich your textual data, and build smarter information retrieval systems. What you will learn: • Understand the core principles of entity extraction, disambiguation, and linking. • Configure Azure AI Language resources and manage API authentication. • Analyze unstructured text to identify and link entities to structured knowledge repositories. • Implement modern SDK practices and construct clean JSON payloads for API requests. • Handle multi-language text and resolve ambiguous terms in context. • Integrate entity linking results into downstream applications and search pipelines. The course begins with essential terminology and the mechanics of entity resolution, before stepping through API configuration, practical request structuring, and real-world integration scenarios. Designed for beginners in cloud-based NLP, this course requires no prior experience with Azure or machine learning. Start reading today to unlock the hidden context in your unstructured data.