Text Analysis with Azure AI Language in Foundry

Unstructured text data holds incredibly valuable insights, but manually processing it is impossible at scale. This course introduces you to the fundamentals of cloud-based natural language processing, showing you how to unlock the power of text data without needing a deep background in machine learning. You will learn to use Azure AI Language and modern AI Foundry tools to build intelligent text analysis workflows. By reading through clear, step-by-step explanations and analyzing realistic text scenarios, you will transition from understanding basic linguistics concepts to configuring automated text processing pipelines. What you will learn: Understand core natural language processing concepts and foundational terminology; Configure Azure AI Language services within the modern AI Foundry ecosystem; Extract key phrases, entities, and personally identifiable information from raw text; Analyze sentiment and detect languages across diverse datasets; Build custom text classification models to automate content tagging; Apply modern hybrid workflows combining traditional text analytics with large language model capabilities. Starting with essential definitions of tokenization, entities, and sentiment analysis, the course guides you through setting up your environment and configuring text analysis tasks. You will progress from simple built-in features to custom classification models using written walkthroughs and conceptual exercises. This course is designed for beginners, data analysts, and aspiring cloud developers who want to learn text analytics. No prior machine learning experience or programming background is required. Start reading today to unlock the hidden value in your unstructured text data.