Strategies for Teaching AI Readiness with aiEDU
Educators will participate in a national, cohort-based professional learning experience designed to build AI classroom readiness and mastery of lesson implementation. Through a blend of five synchronous virtual sessions and structured asynchronous classroom application plans, participants will explore the current AI landscape and integrate industry-aligned curriculum into their high school instruction. This program emphasizes practical reflective practice to ensure teachers can confidently bridge the gap between high school education and the AI-driven workforce.
Upon successful completion, participants will receive a certificate of completion and access to nationally recognized industry credentials, recognizing their ability to facilitate high-demand AI Career and Technical Education (CTE) and Computer Science pathways.
By the end of this cohort, learners will be able to:
- Define AI readiness and its impact on student career opportunities.
- Internalize and implement classroom-ready aiEDU curriculum activities.
- Record and reflect on real-world classroom instruction to improve practice.
- Align classroom learning with high-demand industry skills and workforce needs.
Session Details:
- Duration: 5 weeks
- Cohort Size: Limited to 75 educators
- Format: 5 Synchronous Sessions (60–90 min) + Asynchronous Implementation
Thursdays 6 PM ET
- Sep 24, 2026
- Oct 8, 2026
- Oct 22, 2026
- Nov 5, 2026
- Nov 19, 2026
Eligibility & Registration: This program is specifically designed for high school teachers currently teaching AI, Computer Science, Robotics, or related technical fields within the United States. To join an upcoming 2026 cohort, please complete the application form via the registration link below. Selected participants will receive a welcome package including calendar invites.
Session Details
- Getting Started: Reflect on AI literacy and readiness
- Session 1: Kick-Off: Define AI readiness and AI landscape
- Reviewing aiEDU Curriculum: Review curriculum and prepare implementation
- Session 2: Curriculum Internalization: Plan curriculum implementation and filming
- Implement & Film, Round 1: Implement, record, and reflect
- Session 3: Peer Review, Round 1: Share feedback and prepare next activity
- Implement & Film, Round 2: Implement and record another activity
- Session 4: Peer Review, Round 2: Share feedback on implementation
- Gathering Student Data: Administer student post-survey
- Session 5: Closing Reflections & Ongoing Action Planning: Reflect and plan ongoing readiness
- Completing the Program: Complete survey and join alumni space
About aiEDU
The AI Education Project (aiEDU) is a non-profit devoted to making sure that all students are ready to live, work, and thrive in a world where AI is everywhere. aiEDU works with education systems to advance AI literacy and AI readiness through high quality curriculum, professional development, and strategic partnerships with states, school districts, and other systems.