The goal of this course is to inform on how Artificial Intelligence is becoming one of the major tools in our security arsenal. The problem is that, unless you have a specific type of degree, you are at the mercy of product vendors, collaborators, ChatGPT, or search engines to understand these concepts. This course demystifies Artificial Intelligence and its relationships.

This interactive course will teach security professionals how to conduct data science techniques to manipulate and analyze security data to uncover valuable insights. The course will cover a few topics from data preparation, feature engineering and selection, exploratory data analysis, data visualization, machine learning, model evaluation and optimization and finally, implementing at scale.

No previous experience is necessary. Background understanding Python programming is helpful.

Course outline:
• Introduction to AI
• Applied AI to Cybersecurity
• Difficulties of AI-Driven Security
• Introduction to Machine Learning & Data Science
• A case study coding
• Walking through the case study coding exercise with a real-world data set