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Conventional therapeutic interventions, which range from drug treatment to learning and training regimens, are often given at a fixed dose/intensity. This often leads to sub‐optimal responses, or even none at all. Similarly, fixed intensity training can lead to plateaus in learning trajectories and training outcomes. This barrier will impact the field of digital therapeutics, where drug‐based therapies may be complemented or replaced by learning and training platforms. A potential solution is to optimize training by identifying N‐of‐1 (single subject) training profiles that can then enhance learning trajectories through individualized training regimens. In this study, CURATE.AI, a mechanism‐independent and indication‐agnostic artificial intelligence (AI) platform, is used to identify N‐of‐1 learning trajectory profiles for healthy volunteers trained on the Multi‐Attribute Task Battery (MATB), a flight deck simulator developed by the …