While the internet has increasingly connected people across the globe, many communities remain significantly disadvantaged due to limited network access, inadequate technology, language barriers, and a lack of even basic screen-enabled devices. These inequalities are exacerbating the gap in educational and workforce development opportunities. To address these challenges, we propose a solution focused on developing education through targeted training and reducing key barriers. Our solution utilizes competency management created for enterprises and targets public audiences in an initiative named the STEM Global Education Network. To facilitate this transition, we leverage the Transitional Complexity Index (TCI) to assist participating corporations in creating competency frameworks suitable for export. The TCI examines several dimensions of the international learning and development challenges, from languages to technology access and network bandwidth. Using the TCI, we offer a method for creating a more precise roll-out of sponsored technological resources to improve local content relevance in under-served societies in general. Additionally, we outline several use cases of AI to provide dynamic, real-time insight into the management of the system.