Language Understanding focuses on enabling systems to interpret, analyze, and derive meaning from human language inputs such as text and speech. It helps applications identify user intent, extract entities, and understand context for building intelligent conversational systems. This training explains core concepts such as natural language understanding (NLU), intent classification, entity recognition, sentiment detection, and context management. It also covers machine learning and deep learning approaches used to improve language interpretation accuracy in real-world applications. You will learn how organizations apply these techniques in chatbots, virtual assistants, customer support systems, and search engines. The course also highlights best practices for designing scalable and accurate language models for AI-driven applications.
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