Key machine learning concepts are essential for security engineers to enhance their understanding of AI applications in cybersecurity. This lesson covers foundational topics such as supervised, unsupervised, and reinforcement learning, along with practical examples relevant to cybersecurity, including malware classification and anomaly detection. Participants will gain insights into key metrics, algorithms, and the workings of large language models, equipping them with the knowledge to effectively leverage AI in their security practices.