COURSES
Artificial Intelligence (AI)
Security & Privacy “The AI Black Box”
Security & Privacy "The AI Black Box" (A Practical Guide for Faculty) is designed to equip participants with a practical understanding of the security and privacy implications of working with artificial intelligence. In a focused 1/2 hour session, participants explore the unique risks that AI introduces—from data leakage and prompt injection to hallucinations, intellectual property exposure, and the handling of confidential or regulated information. The course covers safe-use practices for everyday AI tools, guidance on what should and should not be shared with public models, and an overview of organizational policies, compliance considerations, and emerging threats such as deepfakes and AI-enabled social engineering. The primary goal is to help participants confidently identify risks, apply practical safeguards, and make informed decisions about using AI responsibly while protecting themselves, their clients, and their organizations.
Demystifying AI
Demystifying AI is designed to provide a clear, practical introduction to artificial intelligence for non-technical audiences. In a focused 2–3 hour session, participants gain an accessible understanding of what AI is—and just as importantly, what it is not—along with foundational concepts such as machine learning, generative AI, and large language models. The course emphasizes real-world applications, everyday AI tools, effective prompting techniques, and key security and privacy considerations. The primary goal is to remove the mystery around AI so participants can confidently use AI tools, recognize risks, and make informed decisions about responsible and effective AI adoption in their personal and professional lives.
AI Fundamentals for Government Leaders
This course is designed to give you a clear, practical foundation in Artificial Intelligence—what it is, how it works, and why it matters—without requiring a technical background. In roughly 60–90 minutes, you will gain a working understanding of core AI concepts such as machine learning, generative AI, and large language models, along with real-world government use cases. The primary goal is to demystify AI so leaders can confidently evaluate tools, ask the right questions, and begin applying AI responsibly and strategically within their organizations.