Scope: Data cleaning and analysis using VertexAI. We proved that VertexAI with the help of BigQuery is able to handle large sets of incrementing data in real time. Furthermore, with VertexAI we were able to automate the testing, training and optimisation of the proposed algorithms. We were also able to expose an algorithm that allows the prediction of settings for operators. Technologies: GCP, VertexAI, BigQuery, Python, Looker Results: Our work has demonstrated that VertexAI is an agile use of cloud tools for faster acquisition of optimal production line settings. In addition, our experiments have proven that VertexAI enables faster model training and optimisation than on an on-premise infrastructure. The rate of correct prediction of machine settings was 75%. Costs of future infrastructure maintenance have been reduced to the minimum.