The tutorial presents the BlueBRIDGE tools that aquaculture producers can use to estimate the performance of their production exploiting state of the art Machine Learning methods based on the real historical production data. Aquaculture is the fastest growing animal food production sector in the world with continuously and rapid increase global production. However, the environment in which the aquaculture companies operate is highly competitive with limited margin for profit. All aquaculture producers have to face specific challenges concerning the improvement of the performance of their companies in terms of cost, feed conversion, growth rate and mortality. Simultaneously, their decisions should be sustainable and environmental friendly. Small mistakes can make the difference from profit to loss. Using the services provided by BlueBRIDGE, aquafarmers can estimate the performance of their production exploiting state of the art Machine Learning methods based on the real historical production data. Furthermore, they are able to make accurate production plans, future investment plans by exploiting the geoanalytics platform and techno-economic analysis combining production, financial and environmental data. In this way, they can make correct and timely decisions strengthen their aquaculture's position against competition.