This project will address critical workforce development challenges at the intersection of emerging technology and natural resource management. As digital tools transform the forestry and natural resources industries, there is growing demand for professionals trained in data-driven technologies such as artificial intelligence (AI), uncrewed aerial systems (UAS), and environmental sensor networks. However, existing training programs have not kept pace with these advancements, leaving a widening skills gap that threatens economic resilience, ecological sustainability, and workforce preparedness across these sectors. This project, Driving Real-World Integration of AI into Digital Forestry and Natural Resources (DRIAD), will build an inclusive, scalable, and collaborative ecosystem for experiential learning. Through immersive, real-world training and cross-sector partnerships, DRIAD will prepare a new generation of professionals to lead in technology-enabled natural resource management. The program serves the national interest by strengthening the STEM workforce, expanding participation in high-growth fields, and supporting sustainable resource use across forestry and allied disciplines. The DRIAD program will support at least 60 participants through a year-long, cohort-based model designed to provide hands-on, industry-informed training. Core activities include a three-week residential summer short course, monthly virtual professional development sessions, and ongoing mentors