This course introduces Natural Language Processing (NLP), covering essential methods and a wide range of applications. Students will gain a deep understanding of fundamental NLP algorithms and models, explore the complexities of human language, and engage in hands-on projects to develop and refine NLP systems. These applications encompass parsing, sentiment analysis, machine translation, and language generation, alongside information retrieval techniques such as summarization, and question-answering.