Abstract: A computing system module facilitates designing a cloud computing services application that comprises multiple disparate cloud computing services available from multiple sources, vendors, or platforms. A description, in textual or verbal form, of desired functionality of the application is converted into a context vector. A trained supervised learning model having a number of nodes corresponding to a number of available computing services, analyzes the context vector and determines a relative probability for each node with respect to probability thresholds. The learning model identifies in a recommendation report that the application should include a service if a probability corresponding to the service satisfies a respective criterion. Edges may be determined from the context vector and analyzed by the learning model to determine an architecture of recommended services. The architecture may be rendered as a visual diagram based on the edges.