Abstract: An Internet of Things device includes an anomaly monitoring switch such that the Internet of Things device performs anomaly monitoring when the anomaly monitoring switch is enabled. An anomaly rule is stored in the Internet of Things device. According to the anomaly rule, the Internet of Things device determines whether a request sent by the Internet of Things device is an anomaly request and whether a control instruction received from an Internet of Things cloud platform is an anomaly control instruction. When the anomaly request or anomaly control instruction is received, the Internet of Things device discards the anomaly request or the anomaly control instruction.

Abstract: Generating a personalized learning experience using artificial intelligence and disparate data sources is described. A computing device is directed to identify a plurality of objectives for a user profile to meet in association with a learning course, identify a plurality of learning resources associated with the learning course, and identify information associated with the user profile. The computing device then executes an artificial intelligence routine using the information associated with the user profile, the plurality of learning resources, and the plurality of objectives that generates a customized course for the user profile. The customized course for the user profile is different than courses customized for other user profiles. The customized course is presented in a user portal for the user profile. The customized course as generated includes a subset of the learning modules curated for the user profile and an order assigned to the user profile for completion.