A 15-hour, 8-week online course for your whole staff. Every teacher learns to use AI safely to plan, differentiate, give feedback and save time, then goes deeper in a track for their grade level, English Learners or school leadership.
AI can save teachers hours every week and help them reach every student. Without training, it invents facts, misjudges student writing and puts student data at risk. This course builds the routines to use it well, practiced in each teacher’s own classroom.
42%
of U.S. teachers say they have had no training on using AI in the classroom.
EdWeek Research Center, 2026
61%
of essays by non-native English writers were flagged as AI-written by detectors, on average across seven tools.
Liang et al., 2023, Patterns
1 in 10
U.S. public school students is an English Learner, so many teachers have some. Every core module shows how to adapt for them.
NCES, Condition of Education, 2024
Every outcome is practiced with the teacher’s own students, not just discussed.
Protect student privacy, catch errors and bias, and set clear class rules for AI.
Plan from your standards and adapt any lesson for different readiness levels, readers and English Learners.
Draft feedback against your own criteria, with the teacher making every call.
Teach age-appropriate AI literacy and design assignments where student thinking shows.
Use AI for family messages, routine writing and admin tasks, with a human check where it matters.
About 2 hours a week for 8 weeks. Every module ends with a task teachers use with their own students, a colleague gives feedback on it, and the live sessions build on what they bring back.
90 minutes each, online: kickoff, lesson studio, showcase.
4 core modules for everyone, then 2 in each teacher’s track.
Teachers try each new routine with their own students and collect evidence.
8 to 10 colleagues review their evidence together and plan a final lesson.
| Week | What happens | Teachers leave with |
|---|---|---|
| 1 | Live session 1: Kickoff Core 1: AI foundations, safety and privacy |
A class AI-use agreement |
| 2 | Core 2: Planning and differentiation | One of their lessons, differentiated three ways |
| 3 | Core 3: Feedback and assessment Classroom cycle 1: Teach the differentiated lesson |
A feedback routine and three student work samples |
| 4 | Live session 2: Debrief and lesson studio | A lesson tested with colleagues |
| 5 | Core 4: Communication and workload Classroom cycle 2: Run the feedback routine |
Three family messages and a weekly time-saving routine |
| 6 | Track module 1 Coaching pod: Review the evidence and plan the final lesson |
One set of evidence reviewed with colleagues |
| 7 | Track module 2 Classroom cycle 3: Teach the final AI-supported lesson |
Their track project, used with their students |
| 8 | Live session 3: Showcase | A 5-minute showcase of their lesson and what changed |
Self-paced, about an hour each, with short videos, worked examples and a practice task teachers use in their own classroom. Every teacher takes the core, then chooses one track of two modules for their own context.
How AI tools work and fail, which student data never goes in, and how to check any output before students see it.
You leave with: a class AI-use agreement.
Plan from your standards, then adapt one lesson for different readiness levels, readers and English Learners.
You leave with: one lesson differentiated three ways, ready to teach.
Rubrics, quizzes and written feedback drafted against your criteria, and why AI detectors are not evidence.
You leave with: a weekly feedback routine.
Plain-language family messages, translations checked by a fluent reader, and the routine writing that eats your week.
You leave with: three family messages and a time-saving routine.
Two modules each, in weeks 6 and 7, ending with a project teachers use with their students.
Literacy and math practice at every level, from leveled texts to small-group materials. AI in the early grades: teacher-led, with no student accounts unless your district approves them.
Project: a week of small-group materials and an AI literacy mini-lesson.
Reading and writing supports across subjects. AI literacy for young adolescents: assignments where thinking shows, and students who learn to question AI.
Project: one assignment redesigned and an AI literacy lesson.
Research, sources and AI as a thinking partner in every subject. Assessment for the AI era: process evidence, oral defense and projects.
Project: one assessment redesigned for the AI era.
Language objectives and lessons for each proficiency level in your framework, a speaking station that adds talk time, and a strong start for newcomers and their families.
Project: a leveled lesson and a speaking station.
Your school’s AI guidance, tool approval and privacy agreements. Leading the rollout: coaching teachers, walkthroughs and measuring what changes.
Project: a one-page AI plan for your school.
Teachers know their students and their subject better than any course or AI tool. The course is built around that.
Their grade, their subject, their standards and what works in their classroom. Teachers judge every AI output, and every teaching decision is theirs.
Prompts, tools, privacy rules and the checks that keep AI output safe and accurate, practiced on each teacher’s own lessons.
Every practice task gets a colleague’s comment, with one strength, one question and one suggestion, plus the facilitator’s feedback on the AI workflow.
Founder and CEO of Telo AI, which builds speaking-practice tools for English Learners in U.S. districts. Alexis also trains managers at large companies on AI for Cegos, an international professional training company. In this course he leads the AI workflows, the privacy rules and the evidence on where AI tools fail students, while the teaching expertise comes from the teachers in the cohort. He is also the parent of two children growing up in three languages.
The course works inside the standards, the tools and the privacy rules your district already has.
Teachers plan from your state standards. The English Learner track also uses your English language proficiency framework.
Teachers practice with the AI tools your district has already approved. Telo AI’s classroom robot appears in the English Learner track as one example of a speaking partner, never a requirement.
FERPA and COPPA basics, a data checklist for any tool, and a clear rule: no student data in general chatbots.
Start with one cohort, plan every teacher in the district, or enroll teachers one by one.
Prices valid until June 30, 2027.
Title II, Part A funds professional development for teachers and school leaders, and Title IV, Part A funds professional development on the effective use of technology. For the English Learner track, Title III, Part A requires effective professional development for teachers of English Learners (ESEA §3115(c)(2)).
For your quote: sustained, job-embedded professional development consistent with ESEA §8101(42). Your district and state decide which funds apply.
Tell us how many teachers you want to train, which tracks and when. Your quote comes with the professional development language your funding request needs. Or email schools@mytelo.ai.
Classroom teachers take the track for their grade band. ESL, ELD and bilingual teachers take the English Learner track. Principals, assistant principals and instructional coaches take the school leaders and coaches track. Teachers who work across grades choose the band closest to most of their students.
Free courses are a good start, and many last one to three hours. This course runs 15 hours over 8 weeks, works with whichever AI tools your district has approved, and every module ends with practice in the teacher’s own classroom and feedback from a colleague.
Yes. A whole-district plan runs cohorts of up to 30 teachers through the school year, each teacher in their own track, with volume pricing. Your coaches can take the leaders and coaches track to support teachers between sessions.
Alexis Jamin, founder of Telo AI and an AI trainer for Cegos, leads the AI workflows, the privacy rules and the checks. Teachers are the experts on their students: every teaching decision is theirs, and every practice task gets feedback from a colleague as well as from the facilitator.
No. Teachers practice with the AI tools your district has approved. Telo AI’s robot appears in the English Learner track as one example of a speaking partner.
About 2 hours a week for 8 weeks, 15 hours in all, including three 90-minute live sessions online.
Both: four core modules and two track modules, self-paced and about an hour each; three live sessions; three classroom cycles with the teacher’s own students; and one coaching pod.
A class for the three classroom cycles (leaders and coaches work with a school or a team), and access to an AI tool your district has approved.
Title II, Part A and Title IV, Part A fit professional development for all teachers. For the English Learner track, Title III, Part A requires effective professional development for teachers of English Learners. Your district and state decide which funds apply. More in our guide: How to fund Telo AI.
Book a free 90-minute briefing for your district leaders: the course, the tracks, and the evidence teachers bring back.