SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

Data Science, Artificial Intelligence, and Machine Learning aren't just the current buzzwords, they are fast becoming one of the primary tools in our information security arsenal. The problem is that, unless you have a degree in mathematics or data science, you're likely at the mercy of the vendors. This course completely demystifies machine learning and data science. More than 70% of the time in class is spent solving machine learning and data science problems hands-on rather than just talking about them. You will leave the class not only understanding how these tools and techniques work, but understanding how to think about your data, making it into something that you can apply machine learning and AI techniques to.

Unlike other courses in this space, this course is squarely centered on solving information security problems - in other words, applied rather than theoretical. Where other courses tend to be at the extremes, teaching almost all theory or solving trivial problems that don't translate into the real world, this course strikes a balance. While this course will cover necessary mathematics, we cover only the theory and fundamentals you absolutely must know, and only so as to allow you to understand and apply the machine learning tools and techniques effectively. We show you how the math works but don't expect you to do it. The course progressively introduces and applies various statistic, probabilistic, or mathematic tools (in their applied form), allowing you to leave with the ability to use those tools and to be able to troubleshoot your results since you have developed strong intuitions about the underlying mathematics. The hands-on projects covered were selected to provide you a broad base from which to build your own machine learning solutions.

Add to Comparison Back to All Courses