Industrial Training, especially training geared towards Industry 5.0 – referring to robot and smart machines working alongside people, is an evolving field, and recent technological advancements in Extended Reality (XR) and Artificial Intelligence (AI) have propelled interest toward this goal. The combination of these technologies allows the implementation of immersive, adaptive, and personalized learning experiences, which can be utilized by the workforce in on- and off-the-job contexts to address training in increasingly complex industrial systems. However, the adoption of XR-based training faces several challenges, including computational demands, latency, usability constraints, and personalization. To address these limitations, the XR5.0 Training Platform provides a state-of-the-art cloud infrastructure and AI-enhanced training solution designed to create, manage, and display XR content to users with optimized performance and accessibility. The platform is structured around three (3) core components, namely: (i) the Hololight Hub, for managing and orchestrating XR applications enabling low-latency streaming via a cloud-based infrastructure; (ii) the XR Training Asset Repository to ensure secure storage of training materials; and (iii) the XR Training Management System for the creation, management, and visualization of XR-native training programs. This platform addresses the limitations of existing training platforms while reducing hardware dependency by adopting a device-agnostic approach. This ensures a more efficient and scalable training ecosystem, enhancing workforce alignment with Industry 5.0 environments. This paper presents the platform’s architecture, key functionalities, and integration strategies while discussing its potential to transform industrial training through intelligent, immersive, and data-driven learning solutions.