AI Literacy Course for Teachers

AI literacy for teachers is the working knowledge to use AI tools effectively, judge their output, and guide students' AI use. It covers how chat AI works, what it gets right and wrong, and how to apply it to teaching tasks like planning and feedback. This course builds it across 18 short lessons in two levels: Understand AI, then Put AI to Work.

Because students got there first: by late 2025, 54% of U.S. teens had used AI chatbots for schoolwork (Pew Research Center), while 82% of teachers report no formal AI guidance from their school or district (Gallup). AI literacy lets teachers save real time, set fair classroom rules, and guide students instead of reacting to them.

Learning a tool teaches you where the buttons are; AI literacy teaches you judgment. It covers how AI generates answers, when its output is unreliable, what happens with your data, and how AI affects student thinking. Tools change every semester; literacy transfers. This course teaches both, with hands-on practice inside the lessons rather than tool walkthroughs.

A strong AI literacy curriculum for educators covers five things: how AI works in plain language, hands-on practice with real teaching tasks, evaluating output for bias and hallucinations, safety and student data privacy, and classroom application like AI policies and academic integrity. This course covers all five across 18 lessons, ending with a capstone activity you build for your own class.

K-12 teachers are the primary audience: examples and exercises center on real classrooms from elementary through high school. Instructional coaches, librarians, and school administrators take it too, and most lessons apply equally to higher ed instructors. It works at any experience level, from never having opened a chatbot to already using AI every week.

No. The course starts from zero, in plain language, with no coding and no jargon. Early lessons show that you already use AI daily (your spam filter, your maps app) and build from there in small steps. If you can use email and a browser, you can complete every lesson.

About two hours in total: 18 lessons, most running four to nine minutes. Level 1, Understand AI, is 11 lessons totaling 77 minutes; Level 2, Put AI to Work, is 7 lessons totaling 52 minutes. Most teachers spread it over a week or two, one lesson at a time.

Fully self-paced. There are no live sessions to schedule; you take lessons whenever you have a free stretch, and the course saves your place so you can pick up where you left off. Many teachers do one short lesson between classes or during a planning period.

You receive a certificate on completion that many teachers submit for professional development hours. Whether it counts toward formal PD or CEU credit depends on your district or state requirements, so check with your administrator. The course takes about two hours, which is typically the figure to report.

Yes. Finish the course and a shareable certificate is emailed to you. Add it to your LinkedIn profile, share it with your school leaders, or file it with your professional development records. The certificate is free, like the rest of the course.

Yes. Schools and districts can roll the course out as staff professional development, and Flint works with school leaders on wider AI literacy training and rollout support. Book a demo to talk through running it across your school, or email hello@flintk12.com.

No. The course is about AI, not about any one product, and everything works with whatever tools your school uses. One short lesson covers where school-safe platforms like Flint fit into the bigger picture, so you can evaluate them on your own terms.

Teachers who use AI weekly report saving about 5.9 hours a week, roughly six weeks per school year (Gallup and Walton Family Foundation). The biggest wins are drafting lesson plans and materials, differentiating texts, writing rubrics, and first-pass feedback. Level 2 opens with a playbook lesson on exactly these workflows, practiced on your own tasks.

Start by modeling it: show students when you use AI, when you do not, and why. The course's final lessons cover teaching AI literacy to students, including discussing integrity openly, designing assignments that work with AI rather than pretending it does not exist, and setting clear rules students help shape. You finish with a classroom-ready activity you build yourself.

A classroom AI policy should state when AI use is allowed, required, or off-limits; how students disclose it; how it affects grading; and what happens with student data. The clearest policies set rules per assignment rather than blanket bans. The course walks you through drafting your own policy in Level 2.

You usually cannot know for certain: AI detectors are unreliable and produce false accusations, so the course does not recommend relying on them. More dependable signals come from process: drafts, in-class writing samples, and conversations about the work. The course covers integrity strategies that reduce misuse in the first place, like AI-aware assignment design.

General consumer chatbots like ChatGPT require users to be 13 or older, so they are not appropriate for younger students. For under-13 classrooms, use school-specific AI platforms that are COPPA-compliant, teacher-supervised, and built with student guardrails; Flint is one example. The course covers what to check before adopting any tool for students.

Not into consumer tools: never enter student names, grades, or identifying information into general chatbots, which may store and train on what you type. The course's lesson on bias, data, and where your words go covers what happens to your inputs and how to work safely, including anonymizing and using school-approved, FERPA-compliant platforms.

Yes. The course covers student data privacy in practical terms: what FERPA and COPPA mean for classroom AI use, what never to put into consumer tools, and what to look for in a school-approved platform. It is written for teachers, not lawyers, with concrete do-and-do-not examples.

Directly, with practice. Level 1 includes a three-rule safety kit for judging AI output, a lesson on bias, data, and where your words go, and a lesson on deepfakes and fake media. You practice catching confident-but-wrong answers yourself, so you can teach students to do the same.

Yes. The course is maintained by the Flint team and updated as tools, model capabilities, and research change; statistics come from current Gallup, Walton Family Foundation, and Pew Research Center studies. Because lessons are short and modular, updates land continuously rather than in a yearly rewrite.

Those programs mainly teach their own products, like Gemini or Copilot. This course is classroom-first: it starts from teaching problems such as planning time, academic integrity, and parent questions, and treats tools as interchangeable. It is also about two hours, free, self-paced, and ends with artifacts you keep: a classroom AI policy and a capstone activity.

The course maps to the themes shared across ISTE guidance and emerging state AI literacy frameworks: understanding how AI works, evaluating output, ethical use, data privacy, and classroom integration. It is not a formal certification for any single standard, so if you need documented alignment for PD credit, compare the lesson list against your state's framework.

The course is free. Every lesson, check-in, and the certificate costs nothing, and there is no paid tier or credit card required. Flint offers the course as part of its work with K-12 schools; taking it does not require using Flint.