This paper presents the design and manufacturing process of an innovative quadcopter drone structure prototype with two approaches to solving two barriers related to quadcopter drone systems: design, and accessibility. The first barrier is the need for a methodology to optimize conventional drone structural design that improves efficiency and flight time capacity or endurance. The second barrier is the lack of access to aerospace technology in underdeveloped countries. It is causing a significant impact on technological, educational, scientific, and industrial development that affects the countries' capacity to confront real-world problems and people's life quality. Therefore, two approaches have been used to solve the issues mentioned above by designing and manufacturing an innovative modular quadcopter structure prototype that meets all the required mechanical needs as lightweight and strength to improve efficiency. To achieve this first approach, the authors conducted topological optimization with two purposes: weight reduction and high energy efficiency thanks to the weight-to-energy consumption ratio considering aerodynamic performance and manufacturability. Furthermore, the generative design process allowed topology optimization as the starting analysis in the first iteration to be re-optimized in terms of several variables like stiffness maximization, mass minimization, von misses stress, and manufacturing materials and methods using Artificial Intelligence and Machine Learning to generate high-performing outcomes. As a result, this research provides a design and manufacturing method to empower new educational and industrial programs in the aerospace field in underdeveloped countries, encouraging a significant change in the country's quality of life with aerospace technology, education, and research and development.