How Generative AI Works
Understand prompts, large language models, and why confident AI output can still be wrong.
Free introductory course
A free, practical foundation in artificial intelligence, generative AI, prompting, privacy, responsible use, and AI literacy for educators.
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
Understand prompts, large language models, and why confident AI output can still be wrong.
Recognize AI already present in education and distinguish traditional AI from generative AI.
Build stronger educational prompts through context, tasks, constraints, formats, and iteration.
Protect student information and apply accuracy, bias, appropriateness, and human-oversight checks.
Use AI thoughtfully for planning, differentiation, communication, and professional work.
Distinguish productive AI support from replacement and connect AI use to learning objectives.
Consolidate six responsible-use principles and identify a thoughtful next step for practice.
What learners receive
Research behind this course
These selected sources fit this course’s audience and purpose. The complete library explains evidence types and limitations.
Independent-school educator and technology leader with experience in teaching, faculty development, school operations, responsible AI, and applied educational research.
Guidance is checked against primary sources and revised as technology, research, and institutional expectations change.
Ready when you are