In this Artificial Intelligence course, test and evaluation experts from Johns Hopkins will share how cutting-edge test and evaluation plans are developed for AI-driven autonomous systems.
Complex systems driven in whole or in part by artificial intelligence (AI) are fast becoming ubiquitous, across a broad range of applications. These systems operate in extremely complex environments with overwhelmingly large combinations of inputs and variables. Engineers must test and evaluate the systems to ensure they are achieving the desired level of assurance, safety, and trustworthiness.
Participants in this artificial intelligence course will engage in a variety of interactive in-class exercises to get hands-on experience applying the latest in AI-based autonomous systems test and evaluation.
A working knowledge of systems engineering practices and some experience with testing and evaluation of complex systems.