AI For Data-Driven Decision Making

Catalog description

Artificial intelligence is rapidly reshaping how organizations analyze information, make decisions, and create value, and this course provides an applied introduction to AI, machine learning, and generative AI in business environments. You will explore foundational machine learning techniques, neural networks, and large language models while examining how these technologies support business analytics, automation, and strategic decision making. Through hands-on activities, business examples, and case studies, the course emphasizes both the opportunities and limitations of AI in organizational settings. The course also examines the broader business value, societal impact, and ethical challenges associated with AI, including issues related to bias, transparency, privacy, accountability, and responsible AI development. You will learn how to critically evaluate AI applications, interpret AI-generated outputs, and apply human judgment when working with intelligent systems. By the end of the course, you will have a practical understanding of how AI technologies are used in business and the organizational and societal implications that accompany their adoption.