Charles Givre

AI for Cybersecurity

Jumpstart your AI skills with this immersive bootcamp designed for undergraduate ¼ø»Æʦapp! You'll learn how to build and secure large language models (LLMs), master prompt engineering, and create your own AI agents using tools like OpenAI, HuggingFace, LangChain and more. By the end, you'll have hands-on experience with the same cutting-edge techniques used by top tech companies.

Monday, August 11th - Friday, August 15th

9:00 A.M. - 11:00 A.M.Ìý

Ìý Supported by the NSF Scholarship for Service

Ìý Dr. Fernando KochÌý

Genai for Learning and Student Success

This bootcamp teaches ¼ø»Æʦapp how to make the best use of Generative AI in their daily academic work. We’ll focus on real situations ¼ø»Æʦapp face in their courses, like solving problems, writing reports, studying tough concepts, analyzing data, and doing research. Along the way, we’ll look closely at the common mistakes ¼ø»Æʦapp make when using GenAI. By the end of this course, ¼ø»Æʦapp will know how to work with GenAI in smart, responsible ways. They’ll understand where it can save time, where it can support thinking, and where it can lead them off track if they’re not careful. This is a hands-on, practical bootcamp designed to help ¼ø»Æʦapp think clearly, work efficiently, and avoid common GenAI pitfalls in learning and education.

Monday, August 11th - Friday, August 15thÌý

12:00 P.M. - 2:00 P.M.

Rhian Resnick, Director of Research Computing

Practical Computing

This bootcamp aims to introduce computing platforms, programming languages, and tools essential for ¼ø»Æʦapp. This bootcamp will introduce tools and skills necessary for effectively using computing resources in coursework and research. Students will develop familiarity with Linux systems, High Performance Computing Clusters, Public and Private Clouds (OwlCloud), Python for data science, and version control for software projects. By the end of the course, ¼ø»Æʦapp will learn the computing tools essential for many undergraduate and graduate courses at ¼ø»Æʦapp, participate in research activities, and start their careers after graduation.

Monday, August 11th - Friday, August 15thÌý

3:00 P.M. – 5:00 P.M.

Ìý Ìý ÌýSupported by the Army Research Office

AI for Cybersecurity Bootcamp

Jumpstart your AI skills with this immersive bootcamp designed for undergraduate ¼ø»Æʦapp! You'll learn how to build and secure large language models (LLMs), master prompt engineering, and create your own AI agents using tools like OpenAI, HuggingFace, LangChain and more. By the end, you'll have hands-on experience with the same cutting-edge techniques used by top tech companies.

Session Length: Monday, August 11th - Friday, August 15th

Please note that each class will be recorded. The recordings will be available online to ensure that participants can access them if they miss a class or want to review any of the sessions.

Course Outline

Length: One week (Monday-Friday, 2 hours/day)

Cost:Ìý FREE! Ìý For ¼ø»Æʦapp Students, Faculty, & Staff | Not available for Non-¼ø»Æʦapp Students, Faculty, or Staff

Time: Ìý9:00 A.M. - 11:00 A.M.

Location:Ìý Engineering East (EE96) Room 207

Instructor: Charles Givre

Email:Ìý cgivre@fau.eduÌý

Instructor Bio: ÌýÌýCharles Givre, CISSP, is an adjunct professor at ¼ø»Æʦapp, and a seasoned cybersecurity and data science professional with over 20 years of industry experience. He holds a Master’s from Brandeis University in Middle Eastern Studies and Bachelors degrees in Computer Science and Music from the University of Arizona. Charles started his career in the intelligence community as a counterterrorism analyst at the Central Intelligence Agency. ÌýHe then joined Booz Allen Hamilton and worked as a consultant and technical leader at the NSA. ÌýAfter leaving government service, Charles led technical teams building AI-driven solutions at major international banks and Ìýis a frequent trainer at top industry conferences like Black Hat and various other industry conferences. ÌýHe will be bringing his real-world expertise and hands-on teaching style to this immersive AI bootcamp.

Tools and Resources

• Lectures and group discussions will take place live (synchronously) online (using WebEx, Zoom, or equivalent) on specified days and times.
• Slides and supporting materials will be posted online.

Students should have Internet access.

Outline and tentative schedule

The course will consist of 5 modules (of 3 hours each). Each module will have a combination of lecture, demos, and discussions, with ample opportunity for questions.

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

Ìý Supported by the NSF Scholarship for Service, learn more atÌý sfs.fau.edu

Genai for Learning and Student Success Bootcamp

This bootcamp teaches ¼ø»Æʦapp how to make the best use of Generative AI in their daily academic work. We’ll focus on real situations ¼ø»Æʦapp face in their courses, like solving problems, writing reports, studying tough concepts, analyzing data, and doing research. Along the way, we’ll look closely at the common mistakes ¼ø»Æʦapp make when using GenAI. By the end of this course, ¼ø»Æʦapp will know how to work with GenAI in smart, responsible ways. They’ll understand where it can save time, where it can support thinking, and where it can lead them off track if they’re not careful. This is a hands-on, practical bootcamp designed to help ¼ø»Æʦapp think clearly, work efficiently, and avoid common GenAI pitfalls in learning and education.

Session Length:Ìý Monday, August 11th - Friday, August 15th

Please note that each class will be recorded. The recordings will be available online for 30 days to ensure that participants can access them if they miss a class or want to review any of the sessions.

Course Outline

Length: One week (Monday-Friday, 2 hours/day)

Cost:Ìý FREE! ÌýFor ¼ø»Æʦapp Students, Faculty, & Staff | Available for Non-¼ø»Æʦapp Students, Faculty, or Staff | NON- ¼ø»Æʦapp participants will receive zoom session information via registered email.

Time: 12:00 P.M. - 2:00 P.M.

Location: ÌýEngineering East (EE96) Room 207

Instructor: Dr. Fernando Koch

Email: Ìý kochf@fau.eduÌý

Instructor Bio:Ìý Dr. Fernando Koch is a Research Professor at ¼ø»Æʦapp, where he leads The Generative Intelligence Lab. He has dedicated his career to advancing Artificial Intelligence, Multi-Agent Systems, and Edge AI, holding a Ph.D. in Computer Sciences from Utrecht University. His professional journey spans academia, industry, and startups, where he serves as Technical Advisor to multiple entrepreneurs. He has held positions with IBM Research, Samsung Research, Melbourne University, Korea University, and others. His scholarly contributions include six books, 80+ scientific papers, and 100+ patent applications. He is teaching COT 6930 - Generative AI in Software Development Lifecycles and heads The Generative Intelligence Lab Ìý(https://generativeintelligencelab.ai/)

Outline and tentative schedule:

The course will consist of 5 modules (of 2 hours each). Each module will have a combination of lectures, demos, and discussions, with ample opportunity for questions.

Module 1: GenAI and Critical Thinking

Module 2: GenAI and Learning

Module 3: GenAI and Communication

Module 4: GenAI and Research

Module 5: GenAI and Data Literacy

Working Environment:

• You need a computer
• You need a Conversation AI Service (e.g. ChatGPT, Claude, Chat¼ø»Æʦapp, other)
• We will provide a Discord Server where you will subscribe
• You can install Discord App or access through Web)_
• We will execute the exercises as ‘Collaborative Exercises’

Practical Computing Bootcamp

This bootcamp aims to introduce computing platforms, programming languages, and tools essential for ¼ø»Æʦapp. This bootcamp will introduce tools and skills necessary for effectively using computing resources in coursework and research. Students will develop familiarity with Linux systems, High Performance Computing Clusters, Public and Private Clouds (OwlCloud), Python for data science, and version control for software projects. By the end of the course, ¼ø»Æʦapp will learn the computing tools essential for many undergraduate and graduate courses at ¼ø»Æʦapp, participate in research activities, and start their careers after graduation.

Session Length: Monday, August 11th - Friday, August 15thÌý

Please note that each class is limited to just 60 participants in person. The recordings will be available online to ensure that participants can access them if they miss a class or want to review any of the sessions.

Course Outline

Length: One week (Monday-Friday, 2 hours/day)

Cost: Ìý FREE! Ìý For ¼ø»Æʦapp Students, Faculty, & Staff | Not available for Non-¼ø»Æʦapp Students, Faculty, or Staff

Time: Ìý3:00 P.M. – 5:00 P.M.

Location:Ìý Engineering East (EE96) Room 207

Instructor: Rhian Resnick

Email: Ìý rresnick@fau.edu

Instructor Bio:Ìý Rhian Resnick is the Director of Research Computing within the Office of Information Technology (OIT). Rhian joined Florida Atlantic in 2010 with experience in research, computing clusters, enterprise servers, applications, and identity management. Rhian has a bachelor's in biological sciences aquaculture and a master's in computer information systems from the Florida Institute of Technology. His team oversees the development and support of university research computing technology systems supporting researchers and ¼ø»Æʦapp across all campuses. Rhian has been a divemaster and surveyed and deployed artificial reefs off the coast of Sebastian.

Outline and tentative schedule

The course will consist of 5 modules (of 2 hours each). Each module will have a combination of lectures, demos, and discussions, with ample opportunity for questions.

Module 1

• Linux Pt. 1 (VMs, Ubuntu, Doing day-to-day tasks, IDE’s, VSCode, PyCharm)

Module 2

• Linux Pt. 2 (Unix basics, Terminal utilities, Bash)

Module 3

• Python Pt. 1 (Pip, Virtual Environments, Scripting, Jupyter)

Module 4

• Python Pt. 2 (Data Science Ecosystem with Jupyter), Jupyter , Pandas, NuPy,Ìý

Module 5

• Git (Setup, GitHub & ¼ø»Æʦapp GitLab, Usage)

Ìý Ìý Ìý Supported by theÌý Army Research Office