Recent technological advances in night vision devices (NVDs), such as night vision goggles (NVGs) and thermal imaging systems, have greatly increased their potential for improving warfighter readiness, effectiveness, and safety in night operations. However, it is unlikely that this potential will be fully achieved without a systematic, integrated approach to training. Research findings and operational experience suggest that the majority of the problems that NVG users experience can be attributed to: (1) a limited understanding of their limitations and (2) perceptual problems encountered when using the devices. In addition, there is evidence that NVG knowledge and skills are highly perishable and require frequent practice for sustainment. In the past, NVG training consisted of a mix of training technologies, such as classroom instruction, hands-on training, simulation, and vehicle/aircraft training. A mix of technologies is required because NVG knowledge and skills requirements are heterogeneous and complex. Advances in Advanced Distributed Learning (ADL) technologies, such as computer-based training (CBT) and web-based training (WBT), make these attractive additions to the NVG training mix by providing high quality training to warfighters at the time and place it is needed the most, and which is suited to learner needs and learning styles. In this paper we discuss efforts to develop and implement CBT/WBT for NVG training and provide examples and illustrations in the dismounted and mounted warfighter environments. We cite lessons learned and discuss the issues involved in systematically integrating ADL technologies with other NVG training technologies. Finally, we provide recommendations for future research and development.