Generative AI in Education: Leveraging AGI and Infrastructure as Code for Autonomous Content Creation in Cloud-Native Environments

Abstract

The integration of Generative Artificial Intelligence (AGI) with Infrastructure as Code (IaC) in 
cloud-native environments represents a transformative approach to educational content creation. 
This paper explores the application of AGI technologies within IaC frameworks to enable 
autonomous, scalable, and efficient content generation in cloud-based educational systems. By 
leveraging advanced AGI capabilities, educational institutions can achieve significant 
improvements in content creation processes, including enhanced customization, reduced time-tomarket, and optimized resource utilization. Through empirical analysis and case studies, this study 
demonstrates how AGI-driven IaC systems can automate content development, adapt to dynamic 
educational needs, and lower operational costs. The research highlights the potential of this 
synergy to redefine the landscape of educational technology, offering a scalable solution for 
generating high-quality, tailored educational content that meets the evolving demands of modern 
learners