Prerequisites: ISSCM 241 or STAT 103.
This course provides a concise introduction to Artificial Intelligence (AI) with a focus on applied business applications of machine learning and generative AI. Through engaging lectures, interactive labs, and exposure to real-world use cases, students will gain a deep understanding of the key concepts and practical business applications of AI. Students will also gain a fundamental understanding of how AI models are built and deployed to enhance their skills and career advancement. The latest applications of AI in marketing, accounting, finance, and retail will also be explored.
Outcomes: Students will develop an understanding of how AI is executed in business settings, from ideation to deployment, and the tools and frameworks applied; Students will gain an understanding of core AI concepts, including machine learning and generative AI; Students will discover how models are built and evaluated to analyze data for prediction and generative AI to deliver actionable insights; Students will gain insights into ethical AI practices to be able to recognize and address ethical and social considerations to deploy AI responsibly; Students will explore business use cases to understand AI solutions applied to business challenges across domains such as accounting, finance, and retail; This course will foster collaboration and communication skills development by having students present AI-driven solutions effectively, translating solutions into impactful business narratives.
This course provides a concise introduction to Artificial Intelligence (AI) with a focus on applied business applications of machine learning and generative AI. Through engaging lectures, interactive labs, and exposure to real-world use cases, students will gain a deep understanding of the key concepts and practical business applications of AI. Students will also gain a fundamental understanding of how AI models are built and deployed to enhance their skills and career advancement. The latest applications of AI in marketing, accounting, finance, and retail will also be explored.
Outcomes: Students will develop an understanding of how AI is executed in business settings, from ideation to deployment, and the tools and frameworks applied; Students will gain an understanding of core AI concepts, including machine learning and generative AI; Students will discover how models are built and evaluated to analyze data for prediction and generative AI to deliver actionable insights; Students will gain insights into ethical AI practices to be able to recognize and address ethical and social considerations to deploy AI responsibly; Students will explore business use cases to understand AI solutions applied to business challenges across domains such as accounting, finance, and retail; This course will foster collaboration and communication skills development by having students present AI-driven solutions effectively, translating solutions into impactful business narratives.