The course objective is to embark on an enriching journey into the world of Natural Language Processing (NLP) and Large Language Models (LLMs). Beginning with the "Fundamentals of Natural Language Processing," participants will build a solid foundation in NLP techniques, mastering text preprocessing, representation, and classification. Moving forward, the "Natural Language Processing with Deep Learning" track delves into advanced deep learning methodologies for NLP tasks. In contrast, the "Natural Language Processing with LLMs" track pushes the boundaries with cutting-edge LLMs, attention mechanisms, and transformer architectures. From understanding attention mechanisms to implementing state-of-the-art LLMs for tasks like language translation and text summarization, this journey equips participants with the knowledge and skills to navigate the forefront of NLP innovation.