This paper provides an in-depth exploration of the application of Artificial Intelligence (AI) in enhancing the resilience of microgrids. It begins by discussing the impact of natural events on power systems, using data from Estonia to highlight the need for resilient power systems. The paper then delves into the concept of resilience and the role of microgrids in maintaining power stability. Various AI techniques and methods are reviewed, focusing on their application in power systems and microgrids. The paper investigates how AI can improve the resilience of microgrids during different phases of an event (pre-event, during event, and post-event). A comparative analysis of the performance of various AI models is presented, emphasizing their ability to maintain stability and ensure reliable power supply. The review contributes to the existing body of knowledge and sets the stage for future research in this field. The paper concludes with a discussion of future work and directions, highlighting the potential of AI in revolutionizing power system monitoring and control.This paper provides an in-depth exploration of the application of Artificial Intelligence (AI) in enhancing the resilience of microgrids. It begins by discussing the impact of natural events on power systems, using data from Estonia to highlight the need for resilient power systems. The paper then delves into the concept of resilience and the role of microgrids in maintaining power stability. Various AI techniques and methods are reviewed, focusing on their application in power systems and microgrids. The paper investigates how AI can improve the resilience of microgrids during different phases of an event (pre-event, during event, and post-event). A comparative analysis of the performance of various AI models is presented, emphasizing their ability to maintain stability and ensure reliable power supply. The review contributes to the existing body of knowledge and sets the stage for future research in this field. The paper concludes with a discussion of future work and directions, highlighting the potential of AI in revolutionizing power system monitoring and control.