An information processing apparatus configured to store a machine-learned model that learned, by machine learning, a relationship between a type of a printing medium, an amount of a coloring material on the printing medium per unit area, and an image including a gradation image and printed on the printing medium; and estimate, based on a selection information and a imaging information, by using the machine-learned model, a limit value indicating a maximum value or a minimum value of an amount of the coloring material to be used for printing on the printing medium by the printing section per unit area; and create, by using the limit value, a color conversion profile including information regarding mapping between a coordinate value in a color space and an amount of the coloring material.