This course is designed to address the growing demand for expertise in Large Language Models (LLMs), which have revolutionized the fields of Natural Language Processing (NLP) and Artificial Intelligence (AI). As LLMs continue to transform industries such as healthcare, finance, and customer service, there is an increasing need for professionals who can understand, deploy, and fine-tune these models. The course provides students with both theoretical foundations and hands-on experience in working with transformer architectures, semantic search, retrieval-augmented generation (RAG), and AI agents, preparing them for real-world applications of LLMs. In addition to theory, this course delves into practical techniques for deploying LLMs in real-world environments, including methods for local deployment, fine-tuning, and integrating knowledge graphs to improve performance. By the end of the course, students will be equipped to design, implement, and evaluate complex LLM-based systems such as personalized chatbots and AI agents working in collaborative environments. This course will also prepare students for cutting-edge research and practical challenges in NLP and AI-driven systems, making it a crucial stepping stone for future innovations in the field.