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Practical AI for Cybersecurity Bootcamp

Build practical AI skills in this immersive bootcamp designed for undergraduate students. Learn how to build and secure large language models (LLMs), master prompt engineering, and create AI agents using tools such as OpenAI, Hugging Face, and LangChain. Participants will gain hands-on experience with techniques used across today鈥檚 AI industry.

Monday, August 17 - Friday, August 21, 2026

9:00 A.M. - 11:00 A.M.

Please note that each class will be recorded. The recordings will be available online, allowing participants to access them if they miss a class or want to review any session.

Bootcamp Overview

  • Length: One week | Monday鈥揊riday | 2 hours per day
  • Cost: FREE for FAU Students, Faculty, and Staff
  • Time: 9:00 A.M. - 11:00 A.M.
  • Location: Engineering East (EE-96), Room 207
  • Instructor: Charles Givre
  • Email: cgivre@fau.edu听

About the Instructor

, CISSP, is an adjunct professor at 探花视频 and a cybersecurity and data science professional with more than 20 years of industry experience. He holds a master鈥檚 degree in Middle Eastern Studies from Brandeis University and bachelor鈥檚 degrees in Computer Science and Music from the University of Arizona.

Givre began his career in the intelligence community as a counterterrorism analyst at the Central Intelligence Agency and later worked at Booz Allen Hamilton and the National Security Agency. He has led technical teams developing AI-driven solutions for major international banks and is a frequent instructor at industry conferences, including Black Hat.

Tools and Resources

  • Sessions will include lectures, demonstrations, group discussions and opportunities for questions.
  • Slides and supporting materials will be made available to participants.
  • Students should have access to the internet and a computer capable of using the required AI tools and platforms.

Bootcamp Schedule

The bootcamp includes five two-hour modules combining instruction, demonstrations, hands-on activities and discussion.

Module 1: Introduction to AI and Machine Learning

  • Intro to Artificial Intelligence & Machine Learning
  • Overview of providers: OpenAI, Meta, HuggingFace

Module 2: LLMs

  • Embedding and Tokenization
  • Fine Tuning
  • Retrieval Augmented Generation (RAG)

Module 3: Prompt Engineering

  • Basic Prompting
  • Few Shot Learning
  • Chain of Thought, LangChain

Module 4: Red Teaming AI

  • AI Security
  • Prompt Injection attacks

Module 5: Agents

  • Building AI Agents

NSF logo

Supported by the NSF Scholarship for Service. Learn more at sfs.fau.edu.