This seminar explores the application of ML and AI in optical and wireless communication, highlighting their role in intelligent signal processing, channel estimation, resource allocation, fault detection, and network optimization. Key use cases in optical fiber networks, 5G/6G wireless systems, and cognitive radio are discussed to demonstrate how data-driven approaches outperform conventional methods. The seminar also addresses the benefits, challenges, and future research directions of integrating AI into communication technologies. Overall, this presentation emphasizes the transformative impact of ML and AI in enabling smarter, adaptive, and more efficient communication networks. It will be a great starting point for anybody pursuing research and a career in ML and AI.