The rapid advancement of artificial intelligence (AI) is transforming polymer science by enabling accelerated materials discovery, predictive modeling, and process optimization. This chapter explores educational and training strategies designed to integrate AI into polymer science curricula, ensuring that future materials scientists are equipped with essential computational skills. It discusses the development and implementation of interactive platforms, massive open online courses (MOOCs), and AI-powered tools that enhance student engagement and facilitate hands-on learning. Emphasis is placed on interdisciplinary teaching approaches that merge polymer chemistry, data science, and machine learning concepts. Furthermore, the chapter highlights innovative training frameworks for researchers, fostering collaboration between academia and industry to bridge the AI skills gap. By presenting pedagogical methodologies and practical case studies, this work aims to prepare the next generation of polymer scientists to effectively leverage AI, driving innovation in materials research and sustainable technological development.