The advent of Neuro-Symbolic AI represents a significant advancement in the field of artificial intelligence, as it combines the rule-based reasoning characteristic of symbolic AI with the learning abilities exhibited by neural networks. This chapter provides a comprehensive overview of the evolution of Neuro-Symbolic AI, beginning with the emergence of symbolic AI and neural networks. It then explores the integration of these two approaches in early Neuro-Symbolic systems. Finally, it examines the advancements made in modern Neuro-Symbolic systems, which exhibit the ability to tackle intricate tasks, acquire knowledge from extensive datasets, and generate outputs that can be easily interpreted. The text additionally delves into the future prospects of Neuro-Symbolic AI, emphasizing the potential of sophisticated methodologies such as graph neural networks and the advancement of novel Neuro-Symbolic systems. The chapter concludes by providing a contemplation on the notable progressions in artificial intelligence that have been facilitated by the emergence of Neuro-Symbolic AI. It also highlights the promising prospects that Neuro-Symbolic AI offers for further investigation and practical implementations in the future.