AI for Cybersecurity Professionals with Joff Thyer and Derek Banks

This course provides a detailed overview of Artificial Intelligence (AI) fundamentals for Cyber Security Professionals. The course covers foundational AI history, concepts, and data science underpinnings.

Participants will learn about various statistical approaches, in use by AI and machine learning which include regression techniques, support vector machines, gradient boosting algorithms and more. Considerable coverage is given to deep neural networks, and large language models with students learning how to setup an AI development environment for analysis work in Python, and Jupyter notebook.

The latter part of the course in the afternoon of day two speaks to ethical, safety, security concerns, risks, and cyber security tooling. By the end of the course, participants will have a solid understanding of AI fundamentals, development and building block technologies, and how AI technologies can be applied in their everyday professional careers.