# Training Every Teacher on AI in One Semester > K-12 · AI Course · K12-10 > Source: https://ibl.ai/solutions/k-12/course/training-every-teacher-on-ai > Last updated: 2026-08-25 **A district-scale professional development plan — cohort structure, coaching model, artifacts, and the measurement that tells you whether it worked.** ## The Short Answer **One-off PD days produce almost no durable AI adoption, which is why districts keep repeating them. ibl.ai supports a semester-scale cohort-and-coach model on a platform the district controls — self-hosted, model-agnostic, and yours because you own all the code and the data, so teachers can practise with real student-facing material safely.** On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. [Request Access](https://ibl.ai/contact) · [Explore K-12](https://ibl.ai/solutions/k-12) ## Course facts - **Level:** Foundational - **Duration:** One semester; 5 hours of planning content across 8 modules - **Format:** Program design workshop with a facilitator guide - **Modules:** 8 - **Catalog code:** K12-10 - **Frameworks covered:** ISTE Standards, State PD requirements ## What is this course about? One-off PD days produce no durable change, and districts keep buying them. This course builds a semester-scale program with a cohort-and-coach structure that develops internal capacity rather than consultant dependency, differentiated tracks for early adopters and skeptics, a separate mandatory administrator track, and adoption measured through classroom artifacts. ## Who is this course for? - Directors of professional learning - Instructional coaches who will facilitate - Building administrators - Curriculum and instruction leadership ### What do I need before starting? - Responsibility for professional learning at building or district level - No technical background required ## What will I be able to do afterwards? - Explain why one-off PD produces no durable adoption - Design a cohort-and-coach model that builds internal capacity - Differentiate tracks for early adopters and genuine skeptics - Run a separate mandatory administrator track - Measure adoption through classroom artifacts rather than completion rates ## What does each module cover? ### Module 1 — Why do one-off PD days fail? The evidence on professional learning transfer, and what distinguishes programs that stick. _(35 min)_ **Objectives** - Summarize the evidence on PD transfer - Identify the features that predict durable change - Make the case for a semester-scale investment **Topics:** PD transfer evidence · Durability predictors · Spacing and practice · Investment case **Activity:** Audit your district's last three PD initiatives for durable adoption. ### Module 2 — How do you build a cohort-and-coach model? Structure that develops internal capacity instead of recurring consultant spend. _(45 min)_ **Objectives** - Design cohort size and composition - Define the coach role and select coaches - Plan capacity growth across semesters **Topics:** Cohort composition · Coach selection · Coach development · Capacity scaling **Activity:** Design your cohort structure and name the first coach cadre. ### Module 3 — What belongs in the four-session core? The minimum every teacher completes, regardless of track. _(45 min)_ **Objectives** - Specify the four-session core content - Ensure each session produces an artifact - Keep the core achievable within contract time **Topics:** Core content · Artifact production · Contract time constraints · Session sequencing **Activity:** Draft the four-session core with an artifact for each. ### Module 4 — How do you differentiate for adopters and skeptics? Tracks that serve both without either group derailing the other. _(45 min)_ **Objectives** - Design an advanced track for early adopters - Design a track that takes skepticism seriously - Prevent either group from dominating shared sessions **Topics:** Advanced track · Skeptic track · Legitimate objections · Group management **Activity:** Design both tracks and script the response to the four most common objections. ### Module 5 — How do you build a resource library teachers use? A shared library that gets used rather than a folder nobody opens. _(40 min)_ **Objectives** - Structure a library around real teacher tasks - Build contribution and curation workflows - Measure actual use **Topics:** Task-based structure · Contribution workflow · Curation · Use measurement **Activity:** Build the library structure and seed it with ten teacher-contributed items. ### Module 6 — Why do administrators need a separate track? The administrator content differs, and mixing tracks suppresses honest teacher participation. _(40 min)_ **Objectives** - Specify administrator-specific content - Explain why mixed sessions suppress teacher candor - Make the administrator track mandatory **Topics:** Administrator content · Evaluation implications · Candor suppression · Mandatory participation **Activity:** Design the administrator track and its evaluation-policy component. ### Module 7 — How do you measure adoption honestly? Classroom artifacts and observation rather than completion certificates. _(40 min)_ **Objectives** - Design artifact-based adoption measurement - Distinguish depth of use from any use - Set a realistic adoption target **Topics:** Artifact collection · Depth measurement · Observation protocols · Realistic targets **Activity:** Design the measurement plan and set a defensible adoption target. ### Module 8 — Building the semester calendar The workshop module: a complete calendar with facilitator materials and measurement built in. _(50 min)_ **Objectives** - Build the semester calendar within contract constraints - Assemble facilitator materials - Schedule measurement before the program starts **Topics:** Calendar construction · Facilitator materials · Measurement scheduling · Contingency **Activity:** Build the calendar and check it against the teacher contract and school calendar. ## What is the capstone project? **District semester PD program with a measurement plan.** Produce a complete semester program: cohort structure, coach cadre, four-session core with artifacts, differentiated tracks, resource library, mandatory administrator track, and an artifact-based measurement plan scheduled before launch. _Deliverable:_ A program plan and facilitator package ready to run next semester. ## How are learners assessed? - Calendar checked against real contract time and school calendar constraints - Objection responses rehearsed with a genuinely skeptical colleague - Measurement plan reviewed for whether it could detect failure ## What ships with the course? - **Facilitator guide.** Session-by-session running order, discussion prompts, and the questions that reliably derail a room. - **Learner workbook.** Exercises, checklists, and the templates each module's activity produces. - **Hands-on lab environment.** A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots. - **Assessment bank.** Scenario questions and rubric criteria mapped to each stated learning outcome. - **Source bibliography.** Every primary regulation and standard cited on this page, linked and dated. ## Which AI agents does this course use? - [Professional Development Agent](https://ibl.ai/solutions/k-12/agent/professional-development-agent) - [Lesson Planning Agent](https://ibl.ai/solutions/k-12/agent/lesson-planning-agent) - [Content Creation Agent](https://ibl.ai/solutions/k-12/agent/content-creation-agent) - [Administration Agent](https://ibl.ai/solutions/k-12/agent/administration-agent) ## Where does the course material come from? Every module is grounded in primary sources — the regulation, standard, or research itself, not a summary of it. Each was resolved at authoring time. - [ISTE](https://iste.org/) — International Society for Technology in Education. Educator standards structuring the core session content. - [CoSN](https://www.cosn.org/) — Consortium for School Networking. District-scale implementation guidance. - [Office of Educational Technology](https://tech.ed.gov/) — U.S. Department of Education. Federal guidance on educator preparation for AI. - [AI and the Future of Teaching and Learning](https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf) — U.S. Department of Education. Source for the teacher-agency principles the program is built around. ## Delivery notes Binding guidance for anyone preparing and delivering this course: - Contract time is the binding constraint and most PD plans ignore it. Module 8 must check the calendar against the actual teacher contract, and if the program does not fit, cut scope rather than assuming goodwill. - Module 4's skeptic track must treat objections as potentially correct. A track designed to overcome resistance rather than engage it produces compliance and no adoption. - The administrator track being mandatory is load-bearing. Teachers disengage fast when they suspect administrators are evaluating a practice they do not understand. - Measurement must be capable of returning a negative result. If the plan cannot show the program failed, it will report success regardless of what happened. - Coordinate with HE-10 — the six-week faculty program shares structure, and the facilitator materials should be developed together rather than duplicated. ## Why run AI training on a platform you own? - **You own the course, not a licence to it.** Course content, learner data, and the platform run inside your perimeter — you own all the code and the data. - **Model-agnostic delivery.** Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime. - **No per-seat training licences.** Usage-based or self-hosted, so cost tracks actual use rather than headcount. - **Deploy anywhere.** Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools. ## Frequently asked questions ### What does the Training Every Teacher on AI in One Semester course cover? One-off PD days produce no durable change, and districts keep buying them. This course builds a semester-scale program with a cohort-and-coach structure that develops internal capacity rather than consultant dependency, differentiated tracks for early adopters and skeptics, a separate mandatory administrator track, and adoption measured through classroom artifacts. It runs One semester; 5 hours of planning content across 8 modules across 8 modules, at foundational level, and closes with a capstone: District semester PD program with a measurement plan. ### Who should take Training Every Teacher on AI in One Semester? It is written for Directors of professional learning, Instructional coaches who will facilitate, Building administrators, Curriculum and instruction leadership. Prerequisites: Responsibility for professional learning at building or district level; No technical background required. ### Can we run this course on our own infrastructure? Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data, submissions, and any material learners upload stay inside your perimeter, which matters for k-12 teams that cannot send work to a public AI tool. ### How do we get access to Training Every Teacher on AI in One Semester? Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us the group size and timing you need, and whether it should run inside your own perimeter. ### How much does AI training for k-12 cost on ibl.ai? There is no per-seat pricing — you pay for usage or self-host and pay only for the infrastructure, so a 5,000-person rollout does not cost 5,000 licences. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ## More K-12 courses - [The K-12 AI Compliance Stack: FERPA, COPPA, and CIPA](https://ibl.ai/solutions/k-12/course/k12-ai-compliance-stack): The three federal rules governing AI in a district, what each requires of a vendor, and the deployment architecture that satisfies all three at once. - [Safe AI Tutoring for Minors: Guardrails and Escalation](https://ibl.ai/solutions/k-12/course/safe-ai-tutoring-for-minors): Building a tutoring agent for children — content moderation, self-harm escalation, grooming-pattern detection, and the mandatory-reporter workflow behind it. - [AI Lesson Planning Aligned to State Standards](https://ibl.ai/solutions/k-12/course/ai-lesson-planning-standards-aligned): Generate standards-aligned lessons that survive a curriculum audit — grounded on your state's standards, your adopted materials, and your scope and sequence. - [AI in the IEP Process: Drafting, Compliance, and the Human Signature](https://ibl.ai/solutions/k-12/course/ai-in-the-iep-process): Cut IEP paperwork without ceding a legally binding decision — drafting present levels, goal writing, and the IDEA requirements no agent can satisfy for you. - [Academic Integrity and Assessment in K-12](https://ibl.ai/solutions/k-12/course/academic-integrity-and-assessment-k12): What to do when every student has a writing machine — grade-band policy, assessment redesign, and why detection tools create more problems than they solve. - [Teaching AI Literacy: A K-12 Scope and Sequence](https://ibl.ai/solutions/k-12/course/k12-ai-literacy-scope-and-sequence): A vertically-aligned AI literacy progression from elementary through high school — what to teach at each band, and the activities that make it concrete.