Managing AI Development and Infrastructure

The objective of this course is to introduce students to three fundamental areas of AI development for business applications. With a focus on developing scalable AI products, the course explores how leaders can effectively deploy robust server infrastructure, data pipelines, and front/backend applications. AI applications rely primarily on bottom-down programming methodologies to truly render models that learn over time with supervised or unsupervised models. These models are then pegged to an accuracy score, ensuring reliability and trust. However, as industry standards move towards Explainable AI (x AI) frameworks, leaders must understand the course’s three fundamental areas.