AI in Education: Security, Privacy & Responsible Use Series

30 CPE Hours  |  Fully Asynchronous

Texas DIR State-Certified Training (2026–2027)

This AI in Education: Security, Privacy & Responsible Use series is approved as a vendor by the Texas Department of Information Resources (DIR) and satisfies the artificial intelligence training requirements under Texas Government Code §§ 2054.5191 and 2054.5193, enacted under House Bill 3512. This DIR certification applies specifically to this series. Other AI-related training offered separately is not DIR-certified and does not meet this statutory requirement.

Program Overview

Data Privacy & Cybersecurity in an AI-Driven World equips educators with the knowledge and tools to use artificial intelligence responsibly while protecting student data, intellectual property, and academic integrity. Participants build foundational AI literacy, examine legal and ethical risks, and develop practical policies aligned to district compliance and classroom realities.

Designed for immediate application and self-paced completion.

Texas DIR 2026-2027 State Certified Artificial Intelligence Training Program seal

Who Should Enroll

Teachers • Instructional Coaches • Campus Leaders • District Administrators

What Participants Will Gain

  • Practical strategies to protect student data and digital assets
  • Confidence evaluating AI tools for privacy, copyright, and data use
  • Clear, district-aligned classroom policies for responsible AI use
  • Cybersecurity awareness for everyday instructional technology

Participants receive practical tools and templates to support real-world implementation.

Pricing

A complete, compliance-focused AI training solution.

Purchase Tiers1–910–4950+
Full Series (All 3 Modules)$295$250$225

*Pricing is per person. Bulk pricing applies to the number of participants enrolled.

Course Structure (3 Modules | 30 Total CPE Hours)

Module 1: Intro to AI & Prompting

Focus: What AI is and how to use it responsibly in instruction

  • AI vs. automation vs. generative AI
  • How AI tools work (plain-language overview)
  • Classroom applications: planning, differentiation, feedback
  • Prompt design and refinement
  • Bias, accuracy, and verification

 

Module 2: AI, Intellectual Property & Emerging Risks

Focus: Legal, ethical, and policy considerations in schools

  • Student data collection, storage, and reuse
  • Ownership of student and teacher-created content
  • Copyright, fair use, and AI-generated materials
  • Academic integrity and responsible AI use
  • Parent communication, consent, and data governance
  • Building clear AI use guidelines

Module 3: Core Data Privacy & Cybersecurity

Focus: Compliance, risk reduction, and educator best practices

  • FERPA, COPPA, and applicable state expectations
  • Protecting PII and preventing data breaches
  • Phishing, ransomware, and device security
  • Secure cloud storage, file sharing, and LMS/email use
  • Incident response basics