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.

Wild West Hackin’ Fest – Deadwood (Oct 7th – Oct 8th, 2025) – Deadwood, SD

October 7th – 8:30 AM to 5:00 PM MDT
October 8th – 8:30 AM to 5:00 PM MDT

Instructors:

Joff Thyer

Derek Banks

Student Requirements

A basic working knowledge of Python
Familiarity and comfort in a command line environment

Requirements:

A desktop/laptop with latest Windows 10/Windows 11 with administrator privileges capable of running WSL2. Alternatively, a MacOS ARM based system with minimum M2 processor.
Internet connectivity with Firefox or Chromium based browser.
Python scripting knowledge, or at minimum a basic working knowledge of Python.
Familiarity with UNIX/Linux command line, and terminal usage.
Creation of a Google co-lab account. https://colab.research.google.com/
Creation of a Hugging Face account. https://huggingface.co

This class is being taught at Wild West Hackin’ Fest – Deadwood 2025.

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