Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. Since its inception in the mid-20th century, AI has evolved from theoretical concepts to practical applications that profoundly impact various aspects of modern society. The development of AI can be traced back to the 1950s when researchers first began exploring the possibility of creating intelligent machines. Over the years, significant progress has been made in areas such as machine learning, natural language processing, computer vision, and robotics. These advancements have enabled AI systems to perform tasks that were once thought to require human intelligence, such as recognizing patterns, understanding language, and making decisions. AI has found wide-ranging applications in numerous fields. In healthcare, it assists in medical diagnosis and drug discovery; in finance, it is used for risk assessment and fraud detection; in transportation, it powers autonomous vehicles; and in daily life, it appears in smart assistants and recommendation systems. These applications not only improve efficiency but also create new opportunities for innovation. However, the development of AI also brings challenges. Issues like data privacy, algorithmic bias, and the ethical use of AI require careful consideration. Moreover, as AI systems become more sophisticated, questions about their impact on employment and society at large continue to be debated. Studying AI is crucial for understanding its potential and addressing the challenges it presents. This paper aims to provide an overview of AI, exploring its technological foundations, current applications, and future prospects, with the goal of contributing to the ongoing discourse on this transformative technology.