The implementation of artificial intelligence (AI) in sustainable energy and environmental engineering has been increased as a result of the rapid development of energy demand and concerns about the environment. This case study sees the use, advantages and disadvantages of artificial intelligence. There are some topics discussed how to work in renewable energy systems better, how to manage smart grids, how to monitor environment, how to design green buildings, and how to plan cities. In the real world, things such as AI-powered wind and solar forecast, automatic maintenance of smart water networks and energy-skilled construction automation have been very helpful in terms of operational efficiency, cost savings and stability. Integrating artificial intelligence with internet and large amounts of things enhances decision-making abilities, facilitates adaptive reactions for real-time monitoring and fluctuations in environmental and energy conditions. There are many problems that need to be solved by many people before using intelligent technology. Some of these problems are high processing costs, problems with data quality, infrastructure deficiency and moral issues. Some suggestions are to encourage the use of energy-skilled AI models, encourage cooperation between areas and to implement supporting laws. The findings of this research explain the important role of artificial intelligence as an important environment in promoting environmentally friendly and green energy practices, supporting the achievement of goals related to global protection and climate change.