Creating curricula for educational institutions that meet the demands of a fast-moving labour market is a complex process that can take up to several years. Especially in a field like information technology (IT), new technologies require ongoing adaptation of the corresponding curricula. A particular challenge is to put theoretical concepts, such as those taught by universities, in curricula in such a way that they correspond to the technologies that are currently required on the labour market. While this is a general problem, we elaborated it in the context of cloud computing by addressing the following questions: Is it adequately dealt with in the IT curricula of Austrian universities according to the requirements of the IT labour market? And further, how can curriculum alignments be (semi-)automated to help to better meet current IT job market needs? To answer them, the texts of job descriptions and IT study plans of Austrian universities are first analysed and later compared with similarity metrics. After a quantitative analysis, genetic algorithms are applied to improve the coverage of the curricula.