ezSec taught our students about MITRE ATT&CK framework. The students learned how to effectively categorize attacks and make targeted protective measures through MITRE ATT&CK's classification system. They helped ezSec to manually label more than 2000 MITRE ATT&CKs from various sites. On top of that, our students also implemented a machine learning approach to automate the classification of cyberattacks by describing them through the MITRE ATT&CK framework. This project perfectly aligned with our students' knowledge in cybersecurity and combined with the techniques of data analysis, allowed them to boost their skills in the real-world using the MITRE ATT&CK framework. Working with ezSec helped them to get acquainted with the Canadian workspace, learn project management and collaboration in a team environment and taught them to deliver in a timely manner on a very demanding task.