Alternative Certification · Endorsements
Artificial Intelligence for Educators Endorsement
First District RESA’s GaPSC-approved Artificial Intelligence for Educators Endorsement prepares educators to understand AI, use it responsibly in instruction and professional work, and support informed practice in their schools and districts. The program addresses GaPSC Rule 505-3-.114 and its accompanying guidance through four online courses, applied assessments, field experience, and professional leadership.
Enrolling now. The next cohort starts Jan 11, 2027.
- Length
- 48 weeks
- Cost
- $825 member districts$1,100 non-member
- Next start
- Jan 11, 2027Runs to Dec 10, 2027
Coursework
What you’ll study
The program includes 160 contact hours (16 PLUs): four courses of 40 contact hours (4 PLUs) each, six lessons per course. Courses are delivered online through D2L Brightspace, with field and leadership activities in the candidate’s professional setting. Courses 1 and 2 run in spring; Courses 3 and 4 run in fall.
Micro-endorsement pathway. Candidates actively enrolled in the endorsement program who complete Courses 1 and 2 (80 contact hours, 8 PLUs) and demonstrate mastery of Standards 1 through 4 may be recommended for the Foundations of Artificial Intelligence in Education Micro-Endorsement under Rule 505-3-.114(4)(b). The full endorsement requires all four courses, verified mastery of Standards 1 through 10, completed field and leadership requirements, and certificate eligibility.
Course 1
Foundations of Artificial Intelligence in Education
Introduces how AI systems work, how they are developed, and their capabilities and limitations in education. Candidates begin with a practical task and build a useful professional workflow as they learn core concepts, prompting, content formats, and educator review. Key assessment: AI Workflow Build.
Course 2
Responsible and Ethical Use of AI in Education
Prepares educators to evaluate AI tools and use them responsibly. Candidates develop a Responsible Use Audit connecting tool selection, privacy and consent, ethical data handling, delegation, bias, accessibility, and output review to a practical decision about an AI-supported use. Key assessment: Responsible Use Audit.
Course 3
Artificial Intelligence for Instructional Practice
Develops AI-supported instruction from learning goals and assessment through differentiation, materials, teaching, feedback, and data interpretation. Candidates build one unit aligned to the Georgia Standards of Excellence, teach a lesson or sequence from it, and evaluate what happened. Key assessment: Data Analysis with Judgment + Implemented Unit Reflection.
Course 4
AI Leadership and Professional Practice
Prepares educators to guide student AI use and contribute to responsible practice in their schools and districts. Candidates connect student instruction, policy, communication, and ongoing review to a focused leadership project, and design and lead professional learning. Key assessment: Leadership Capstone.
Applied experience. Course 3 includes teaching a lesson or sequence from an AI-supported unit in the candidate’s classroom or an approved placement, assessed through submitted plans, materials, de-identified evidence, analysis, and reflection. Course 4 includes student AI learning and safety instruction, stakeholder communication, and professional learning for an appropriate audience. Education-adjacent candidates complete comparable applied work with real audiences in their professional settings.
Tools and materials. No textbook purchase is required. A paid AI subscription is required during enrolled months; Gemini is the recommended starting platform, and equivalent subscriptions or qualifying institutional access are accepted. Student personally identifiable information is never entered in a personal-account or unapproved tool.