Artificial intelligence has been a hot topic and aim of the thesis is to study if generative artificial intelligence tools can help cloud professionals on managing cloud platforms and how artificial intelligence help. Specifically, interest is on the modern way of managing cloud using infrastructure as a code. Focus of the thesis is on the tools like ChatGPT and Github copilot. Thesis is divided into different parts. First part is a theory part and it does have topics like cloud computing, infrastructure as a code and artificial intelligence. Artificial intelligence part also takes a closer look at studies on Github Copilot. Second part is the study and it was done using quantitative research methods by sending a survey to respondents. The last part is about conclusion when the findings of theory and study parts were combined. Results of the study showed that tools are somewhat helpful. There are still a room for improvements with these tools. When respondents were asked to how helpful artificial intelligence is when writing infrastructure as a code on scale of 0-5, average was 2,6 and median was 3. Most helpful use cases for artificial intelligence tools were problem solving, learning, routine tasks and efficiency. These directly answer research question if artificial intelligence helps on problem solving and learning. In thesis there was also a hypothesis that infrastructure as code users use more artificial intelligence tools but there was no correlation when tested using chi square test. Conclusion of the thesis is artificial intelligence can be a good tool for cloud professionals, but it is important for cloud professionals to have good foundational knowledge themselves. It is very important to notice if artificial intelligence’s answer is wrong or if it is bad quality answer. This is the reason why artificial intelligence is like an assistant in today’s world. It is also important to teach people more about artificial intelligence and how these tools work to increase knowledge.