AI and Cybersecurity Professional Development
Whether you are just beginning to explore AI or looking to strengthen your ability to teach its cybersecurity implications, this professional development will help you build the knowledge and confidence to bring AI into your classroom.
You will explore how AI systems learn from data, develop capabilities, and make predictions and decisions. You will examine what happens when AI becomes part of larger interconnected systems, and why that creates new opportunities, challenges, and cybersecurity risks.
Registration link and dates
https://teachcyber.org/course-registration/
Cost is $250 for 8 PD sessions and access to the Teacher Guide, including lessons, resources, and instructional slide decks.
The PD starts January 26, 2027. Tentative dates are: Jan 26 and 28, Feb 2, 9, 11, 16, 23, and 25.
Professional Development Agenda
8 Zoom sessions and access to PD and teaching materials through Canvas. The Zoom sessions will be recorded if you cannot attend a session.
Session 1
Overview of AI and Cybersecurity Module and Unit 1
Access to lesson plans, slide decks, and resources
Guiding Question: What does AI “learn” from?
Vocabulary review
Key concepts in Lessons 1-3
Challenging concept: Human learning and AI “learning”
Session 2
Guiding Question: How does data become something a model can use?
Vocabulary review
Key concepts in Lessons 4-6
Model lesson on AI and biometrics
Challenging concepts: Distinguishing data, features, patterns, models, and predictions; probabilistic vs deterministic; and learned representations
Session 3
Guiding Question: What is an artificial neural network?
Vocabulary review
Key concepts in Lessons 7-10
Challenging concept: Biological neurons and artificial neurons, the explainability problem
Session 4
Guiding Questions: How can an attacker manipulate, poison, or disrupt data used by an AI system? How can trustworthiness of an AI-enabled system be determined?
Vocabulary review
Key concepts in Lessons 11-14
Resources for Lesson 11 labs
Challenging concept: AI and the introduction of new risks
Session 5
Overview of Unit 2
Guiding Question: How is AI capability built and what does it depend upon?
Vocabulary review
Key concepts in Lessons 15-16
Challenging concepts: Models and systems, understanding dependencies and cascading impact
Session 6
Guiding Question: What is involved in AI security?
Vocabulary review
Key concepts in Lesson 17-18
Challenging concepts: Distinguishing training, inference, and operation; data drift; the mearning of security
Session 7
Guiding Question: How can AI be contained?
Vocabulary review
Key concepts in Lessons 19-20
Challenging concepts: Access, autonomy, connections, and containment
Session 8
Guiding Question: What does responsible AI look like?
Vocabulary review
Key concepts in Lessons 21-22
Challenging concepts: Risk and harm
Module Overview
