Professional learning course
A senior leadership and board certificate for governing AI across mission, privacy, learning, procurement, high-stakes decisions, workforce practice, and institutional risk.
Who it is for
This practical learning experience is designed for educators and school teams who need clear, responsible ways to make decisions about AI.
You do not need technical expertise. The focus is sound judgment, learner protection, transparency, and actions you can explain.
Course map
A school can have significant AI exposure even if it has never purchased a product labeled "AI." Generative and predictive features are increasingly embedded in productivity suites, learning platforms, admissions systems, analytics tools, communications products, security systems, creative applications, meeting software, and search.
AI governance fails when everyone assumes someone else owns it. The school should identify an executive owner and a cross-functional group that can evaluate issues beyond technology alone.
Generative AI makes copying and uploading information extremely easy. Leaders should establish a default rule: do not provide an AI system more information than is necessary for the task.
AI may help organize information, identify patterns, summarize records, or generate options. That is different from allowing AI to determine what should happen to a person.
Schools exist to develop people, not merely to produce outputs efficiently. A use of AI can save time and still undermine the reason a learning experience exists. Senior leaders should ensure that instructional AI strategy begins with educational purpose.
Traditional edtech review may focus on price, security, privacy, accessibility, integration, and instructional fit. AI adds questions about model behavior, training data, content generation, data reuse, automated decisions, provenance, model updates, hallucination, bias, and human oversight.
Employees may use AI to draft emails, recommendation letters, reports, lesson plans, family communications, evaluations, job descriptions, presentations, donor messages, contracts, budgets, code, or meeting notes. The school needs practical guidance about approved systems, confidential information, verification, authorship, and human review.
Schools do not need to announce every use of spell-check or every internal productivity feature. They do need a clear approach to transparency when AI materially affects students, families, employees, applicants, or decisions.
• Can we explain why AI belongs in our educational or operational strategy?
What learners receive
Ready when you are