h understanding of how machines process human language. The course begins with an introduction to NLP, exploring the challenges and applications of text and speech analysis. You’ll learn through examples of sentences, administrative text, and real-world text processing tasks. The curriculum dives into linguistic fundamentals, including syntax, semantics, and the complexity of language structures. Topics like parts of speech, text similarity, and statistical modeling help students understand how to represent, analyze, and manipulate text computationally. The course also discusses automatic translation, dialogue systems, and information extraction, demonstrating practical NLP applications. By combining theoretical concepts with real-world examples, students gain a solid foundation in both traditional NLP methods and their application in modern AI systems. By the end, learners are equipped to understand and implement NLP pipelines, analyze textual data, and approach problems in machine learning and natural language understanding with confidence. This course is ideal for beginners as well as those seeking to deepen their knowledge of computational linguistics and modern NLP technologie
