This course is designed to introduce students to the practical applications of Artificial Intelligence (AI) and Natural Language Processing (NLP) in business environments while equipping them with the skills to deploy and fine-tune large language models (LLMs) for real-world challenges. Students will develop a solid understanding of essential AI and NLP concepts, advancing from foundational techniques to more complex topics such as prompt engineering, NLP workflow automation, data augmentation, and the integration of AI solutions with in-house business data using methods like Retrieval-Augmented Generation (RAG). Additionally, the course offers hands-on experience with leading Open-source frameworks like Hugging Face and LangChain, and it incorporates real-world case studies from customer service, finance, and marketing to illustrate best practices, effective implementation strategies, ethical considerations, and emerging trends in AI- and NLP-powered business solutions.