Probabilistic Artificial Intelligence refers to the use of probabilistic models in AI to make predictions, understand uncertainty, and handle incomplete information. The concept bridges the gap between traditional deterministic models and real-world complexities, offering a more nuanced approach to machine learning and decision-making. The methodology is gaining traction across various applications, from natural language processing to autonomous systems. The increasing interest suggests that educational resources like books and courses on this subject might become more available in the near future, reflecting its growing importance in AI research and application.