Augmented Reality (AR) & Deep Machine Learning (DML) are part of solution to support crew autonomy and surface operations at destinations with > 6 second time delay to ground. For an effective and sustainable operations, an integrated development for augmented reality must be available for the ops team to create and manage AR content quickly and easily. To achieve crew independence, DML has the potential to analyze a large number of problems such as medical image analysis, fault detection, or object identification. The approach is to embed DML based knowledge within eProc to provide autonomous guidance instruction cues to the crew. To integrate these two technologies (AR-eProc and DML) in order to provide the crew with both AR cues and expert guidance instruction during procedure execution.