Applied Generative AI for Business Analytics

Corequisite: MET AD 100 Lab. This course is designed for analytics developers and advanced business students seeking to build practical, production-ready Generative AI (GenAI) Applications. Emphasizing hands-on learning, students will explore key techniques such as, Natural Language Processing, Recurrent Neural Networks and Transformer Architectures, prompt engineering, in-context learning (ICL), retrieval-augmented generation (RAG), Agentic Artificial Intelligence, and responsible AI design. Students will work with open-source tools and APIs including LangChain, LlamaIndex, and embedding models, while learning to implement GenAI systems across the entire development lifecycle — from prompt design and knowledge retrieval to fine-tuning and deployment. This course bridges the gap between business analytics fluency and technical AI development, equipping students to build domain-specific LLM applications that solve real-world problems.