This didactic paper explores topological superconductivity, an essential idea for enhancing topological quantum computing by utilizing Majorana Fermions (Majorana Zero Modes). Topological quantum computing can enable fault-tolerant qubits, which are essential for implementing quantum AI algorithms and related techniques. This paper discusses the basic principles of topological superconductors, their experimental implementations, and the crucial importance of Majorana Fermions in facilitating error-resistant quantum computing. The paper also examines the integration of quantum AI, emphasizing how the stability of topological qubits enhances the performance of quantum machine learning algorithms. It discusses the obstacles and future possibilities of using topological states for quantum technologies, focusing on engineering applications and recent technical advancements. The study highlights the potential of topological superconductivity to transform quantum computing by providing insight into the creation of reliable quantum systems and scalable quantum circuits.