Lighting engineering education often lacks hands-on tools for students to learn street lighting systems, such as measuring light intensity, optimizing energy use, or validating compliance with standards. Traditional approaches rely on abstract models or simulation software, which prioritize design over pedagogy. To address this gap, we developed a hybrid remote lab combining real-time and ultra-concurrent approaches. The lab platform includes three core activities: (1) real-time control of a single street light (adjusting light intensity, capturing light data via light sensors mesh, and visualizing light distribution), (2) real-time monitoring of five street lights in a real-world campus setup to evaluate compliance with standards, and (3) ultra-concurrent analysis of pre-recorded datasets to study light behavior in different scenarios. The platform uses a web interface connected to ESP32 micro-controllers on AC, DC, and inverter-based street lights. Data is transmitted via MQTT, and a booking system manages access for real-time experiments. The remote lab aims to help students connect theory with practice, improving their ability to predict, analyze, and optimize lighting systems. The hybrid approach supports diverse learning styles by combining hands-on control, data analysis, and real-world observation.