Personalized training based on planned course and personal assessment

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:

• receive a request from a client computing device associated with a user, the request being to generate a personalized training regimen for a specified athletic event occurring at a future time;
• extract, by a cognitive computing system, event information comprising at least one of physical features or environmental features of one or more geographical segments of the specified athletic event based on an ingestion of first data regarding the specified athletic event by the cognitive computing system and generation, by the cognitive computing system, of a first set of features corresponding to the specified athletic event extracted from the ingested first data;
• identify, by the cognitive computing system, based on the event information, geographical region information from a knowledge base, for one or more portions of a geographical region within a specified geographical range of a home location associated with the user, wherein the one or more portions approximate at least one of the physical features or environmental features of the one or more geographical segments associated with the specified athletic event within a predetermined tolerance, wherein the identification of the geographical region information is based on a generation, by the cognitive computing system, of a second set of features comprising at least one of physical features or environmental features corresponding to the one or more portions of the geographical region extracted from the ingested second data, and a cognitive comparison of the first set of features and the second set of features using machine learning logic that learns weights associated with different types of features through a machine learning process and applies the weights to the different types of features present in the second set of features via one or more functions to score the one or more portions of the geographical region;
• generate, by the cognitive computing system, a training course at least by combining a selected set of the portions of the geographical region based on an evaluation, by the cognitive computing system, of a level of matching, for each portion of the geographical region in the set of portions, based on the scores associated with the one or more portions of the geographical region generated by the machine learning logic;
• and
• transmit, by a personalized training recommendation engine, the generated training course to the client computing device for presentation to the user as the personalized training regimen for use by the user in preparing for the specified athletic event.