This study explores how structured hybrid training environments can enhance workforce competency within the evolving landscape of Industry 4.0 and 5.0. Drawing on product lifecycle thinking, a five-stage instructional model—comprising digital resource preparation, hybrid lectures, collaborative tasks, and performance-based assessments—was implemented over three weeks with 31 Thai secondary trainees participating in simulated industrial training scenarios. These included digital workflow simulations, fault diagnostics, and role-based protocols. A quasi-experimental design was used to compare the hybrid model against conventional training. Results indicated that the hybrid group outperformed the control group in contextualized skill application, collaboration, and trainee engagement. The findings suggest that treating training as an evolving “product”—requiring iteration, feedback integration, and contextual validation—can better prepare trainees for the demands of cyber-physical systems, smart manufacturing, and human-machine collaboration. This study offers practical implications for instructional designers and organizations seeking scalable, human-centric, and adaptive training strategies aligned with the workforce demands and lifecycle innovation goals of Industry 4.0 and 5.0.