Examines how generative AI and autonomous agentic AI systems leverage large language models to extract insights; generate solutions; and tackle complex, multifaceted problems. Emphasizes hands-on exploration of AI-driven approaches and application development across diverse domains including healthcare, supply chain optimization, financial decision making, and strategic planning. Offers students opportunities to design, deploy, and apply gen AI-powered analytical tools and applications alongside goal-oriented agentic AI systems. Addresses prompt engineering, model fine-tuning, retrieval-augmented generation, gen AI ethics, and emerging industry trends.