This workshop is dedicated to exploring the transformative potential of Edge Artificial Intelligence (EdgeAI) and Tiny Machine Learning (TinyML) in advancing environmental and radiation sensing technologies. By enabling powerful, real-time data analysis directly on resource-constrained devices, EdgeAI and TinyML offer a crucial shift from cloud-dependent processing. This paradigm allows for the deployment of intelligent, ultra-low-power sensors in remote, infrastructure-poor, or time-critical environments. Participants will learn how these technologies facilitate tracking climate-related changes, monitor environmental parameters and provide rapid, localized radiation detection. Ultimately, the focus is on developing and deploying robust, autonomous, and cost-effective sensing solutions essential for proactive disaster management, environmental protection, and public safety.