This PhD thesis revolutionizes cyber security education by harnessing the power of gamification. The research develops standardized methodologies and algorithms to evaluate trainees' performance across platforms, creating a unified scoring system reflecting educational progress. Diverse gamification techniques are implemented to attract and engage trainees, promoting active participation and continuous improvement. Existing gamification methodologies are analyzed and tailored to specific user profiles, enhancing motivation and learning outcomes. Moreover, the research explores the potential of an AI-assisted co-pilot system that generates personalized exercises based on trainees' skills, guiding them towards areas requiring improvement. The anticipated outcomes include a standardized evaluation system, enriched learning experiences, personalized training approaches, and an AI-driven co-pilot system. This work advances cybersecurity education, fostering a more effective and engaging learning environment. The motivation for this research arises from the need to enhance learner engagement and improve cyber security education.