47 Copyright © 2024, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 3 DOI: 10.4018/979-8-3693-2440-0.ch003 ABSTRACT Augmented intelligence is a paradigm that integrates machine capabilities with human cognition, ampli- fying cognitive abilities and optimizing decision-making processes. Integrating augmented intelligence into knowledge management can significantly improve experiential learning and training at lower costs while maintaining higher standards. Before the epidemic, AI-based transformation in knowledge acqui- sition, dissemination, and responsiveness began, which expanded rapidly during the global COVID-19 pandemic. Consequently, virtual knowledge management, online learning, hybrid training, and similar approaches have become familiar, while quality and real-time human participation have declined due to monotonous static features. Hence, this chapter discusses how to redesign knowledge management and green education systems with augmented intelligence/reality to enhance higher standards in virtual learning and training through advanced hybrid platforms such as holographic labs, 3D holographic training systems, bionic lenses, and electroencephalography for future generations. Augmented Intelligence for Knowledge Management and Green Education in the Post-COVID-19 Era Amitab Bhattacharjee https://orcid.org/0000-0003-3765-7412 Lincoln University College, Malaysia Abhijit Ghosh Lincoln University College, Malaysia Mohammad Khairul Islam Juman https://orcid.org/0000-0003-4261-2550 Malaysia University of Science and Technology, Malaysia Monir Hossen Binary University of Management and Entrepreneurship, Malaysia