Sustainable energy and artificial intelligence (AI) are among the most important challenges facing societies today, as their sustainability depends on using modern technology and artificial intelligence to achieve sustainable economic and social growth. This paper studies the application of Artificial Intelligence (AI) to improve energy efficiency in residential buildings and achieve prosperity in a smart society. This study aims to address the challenges in residential buildings, one of which is the poor management of energy use within these residential buildings. The idea of this study is to use artificial intelligence algorithms (reinforcement learning algorithms) to manage the electrical devices used inside residential buildings through sensors and smart controllers. The integrated IoT module adjusts the settings of lighting devices through motion sensors, air conditioning, and ventilation devices by analyzing weather data to know the temperature. Reinforcement learning algorithms show promising potential for improving energy efficiency in buildings. According to the study results, AI technologies will continue to evolve. More over the reinforcement-learning algorithms are expected to play a greater role in the future of smart and sustainable buildings.