This paper presents the pedagogical architecture, implementation, and rigorous evaluation of a specialized course in Cloud Computing, developed in the context of a recently created online master's degree.
Faced with the exponential demand for professionals with advanced skills in cloud technologies, the course has been meticulously designed using a hybrid methodology that combines synchronous and asynchronous activities. This design provides an optimal balance between training flexibility and structural rigor for comprehensive learning. The didactic approach integrates foundational theoretical content with immersive hands-on experiences using industry-leading Cloud platforms, such as AWS.

These experiences culminate in projects based on real-world use cases that emulate professional scenarios, ensuring that students' skills remain aligned with industry needs and cutting-edge technologies. Quantitative evaluation reveals exceptional academic results, evidenced by success rates of over 97% and 48.64% of outstanding grades. The qualitative analysis explores the methodological strategies used, highlighting epistemological challenges such as verifying authorship in virtual learning settings, and the innovative pedagogical solutions implemented, such as the use of personal interviews for competency validation.

The conclusions underscore the effectiveness of the hybrid model and Project-Based Learning (PBL) in developing advanced cloud computing competencies and suggest areas for improvement focused on metacognitive learning.

Keywords: Master's degree, cloud computing, hybrid education, project-based learning.