This course on 'Artificial Intelligence and Edge Computing' is a foundational program for aspiring Edge Computing/IoT/AI developers, aiming to equip them with practical AI/Machine Learning skills and fundamental knowledge of Edge Computing. Designed with a clear focus on future developments in Edge Computing for industrial applications, the course aims to impart essential learning fundamentals to undergraduate engineers. The curriculum incorporates necessary fundamentals of applied mathematics and Python programming to cultivate skills in designing and developing machine learning algorithms. The course content is meticulously presented to enable learners to visualize the applied areas of ML algorithms, make correlations, and decide preferences among Cloud, Fog, and Edge Computing. Concepts related to designing Edge Computing Systems are demonstrated using TensorFlow and TensorFlow Lite frameworks, ensuring complete learner engagement. The instructional model is designed to provide opportunities for learners to explore modular tasks, fostering higher-order thinking skills. The course enhances practical experience through edge computing hardware demos, and learners will validate outcomes through an in-course project module.