Which staff is this built for?

Anyone whose job touches teaching or its administration: classroom teachers, university lecturers, tutoring-center instructors, corporate L&D teams, and school leadership. We can group sessions by role or subject so the examples match what each group does every day, and no technical background is assumed of anyone in the room.

How many hours does this take, and where does it run?

Two days of instruction, close to 13 hours total, delivered onsite or live online and usually timed to a term break, an in-service day, or a run of after-school sessions.

Does the syllabus really change for our institution, or is it the same deck every time?

It does change, and noticeably. Before the sessions, we look at what your staff already writes day to day. That becomes the material in the room instead of a generic deck. A primary school and an exam-prep provider walk away with different sessions. So does a corporate academy.

How does the school handle students using AI themselves?

There's a dedicated module for it, and the answer is not just a ban. Detectors produce false positives and false negatives. The useful work starts by redesigning assessment to be harder to outsource. Schools also set classroom rules staff can enforce and teach students responsible use.

What would this cost a school?

By how many people, which format, how deep the customization goes, and location, which means the number depends on the institution asking. Share a quick description of yours and your goals, and a proposal comes back sized to your schools.

What's left with us after the last session?

Nothing from the sessions disappears afterward. The prompt library stays with the school, so do the material templates, and so does the 90-day rollout plan we build together. Follow-up questions still reach us, and a refresher round gets scheduled only if usage genuinely grows into wanting one.

What tools do people actually practice on?

Mainstream ones most institutions already have some access to: ChatGPT, Microsoft Copilot, and Gemini. Where a school has standardized on something like Gemini for Google Workspace or Microsoft 365 Copilot, the exercises move onto that tool instead.

Does student data ever enter the room during training?

No real student information comes into the room. The work is built from invented material, or from records that have been fully anonymized before anyone sees them. A dedicated module covers keeping unapproved tools away from actual student records, tool by tool. Handling that correctly is one of the outcomes the training is built to leave behind.

AI Training · Education

AI Training for Teachers & Education Teams

Lesson plans, worksheets, feedback, report comments, parent emails: this is what fills an educator's day. It's also exactly where generative AI saves the most time.

This training turns that time savings into daily practice, curriculum-aligned and safe enough for teaching and education staff to actually use.

modules: 6
hours: 13

Some of the 500+ brands we've worked with

Selected brands we’ve worked with across industries.

See all references

Teachers are running out of hours before they run out of work. Lesson plans, worksheets, rubrics, quiz questions, report comments, and parent emails all compete for the same evenings and weekends. Workload surveys keep landing on the same finding: planning and marking now take as many hours as teaching itself once administration is included.

Differentiating a worksheet into three reading levels, or rewriting a handout for accessibility, is usually the first task a tight week cuts — exactly where AI drafting earns back the time without gambling on quality or student privacy. This page covers the institutional rollout for schools, universities, and training providers; classroom-level teaching has its own program, and the wider set sits in the AI training catalog.

Half the week goes to work no student sees

Workload surveys put planning, marking, and admin at about half a teacher's week — AI-assisted drafting reclaims hours lost retyping the same material three different ways.

Differentiation is worth doing and expensive to do

Producing three leveled versions of one worksheet, or an accessible handout, is the first task a busy week cuts — AI drafts it in minutes instead of another evening.

Thirty essays, no time

Meaningful comments on thirty essays take a weekend most teachers don't have — a first-pass AI draft a teacher edits and personalizes changes that math.

Students are already asking ChatGPT for help

Students already turn to ChatGPT for homework, and no detector reliably proves it either way — teachers who've used it themselves can redesign assignments and set honest rules.

The license was never the missing piece

Word and Google Workspace already carry this technology — the payoff depends on whether staff know what to hand off and what to check by hand.

01
Generative AI foundations for schools and educators
120 minBeginner
A language model sounds confident even when it is wrong, and that single fact drives this whole session. Staff leave able to say, in their own words, what belongs on the machine's plate and what belongs on a person's.
How a language model turns a prompt into an answer
Spotting hallucination in teaching material that reads convincingly
Where AI sits in Word or your LMS, including Google Workspace
Judgments that stay with the educator, tasks that do not
The one experiment worth running before next Monday
02
Prompt structure for everyday teaching documents
120 minBeginner
This module drills one habit into every draft. Staff state the goal, give the classroom context, name the task and format, then build in a check. They practice it on materials produced week to week.
Turning a generic prompt into one built for lesson materials
Giving the model curriculum context while student identifiers stay out
Reworking a rough first draft rather than accepting it as-is
Adjusting for age and reading level without a rewrite from scratch
A department's first working set of saved prompts
03
Lesson materials and differentiated assessment
180 minIntermediate
Nothing in this module reaches a student unreviewed. Worksheets, differentiated versions, rubrics, and test questions turn into AI-assisted drafting flows here, covering the biggest chunk of a teacher's weekly prep in one sitting.
Worksheets and practice sets tied to one learning objective
Three difficulty levels built from a single master material
Rubrics, model answers, and marking schemes, drafted and checked
Quiz and exam questions, with a quality check before use
Accessibility: plain language and alternative formats for the same lesson
Unit and curriculum support
04
Feedback and administrative communication
150 minIntermediate
Feedback comments, report remarks, parent emails, and newsletters make up the bulk of student-facing and parent-facing text that fills an inbox every week. This module covers producing all of it at a pace an evening allows, plus the administrative documents that come with it.
A first-pass feedback draft the teacher edits and owns
Report card and progress comments that still sound personal
Parent emails, including the difficult ones to write
Newsletters and event announcements
Minutes and admin reports
One department's templates become everyone's templates
05
Student data and academic integrity
120 minIntermediate
GDPR and student-privacy rules stop being abstract here, right alongside the question every institution eventually asks about students using AI on their own, with the honest answer including what a detector cannot prove.
What counts as student personal data, and what an AI tool never sees
Consumer tools and enterprise ones handle student data differently
Detectors: honest about what they can and cannot prove
Redesigning an assessment for a world with AI in it
An AI usage policy that covers staff and students both
Students using AI responsibly
06
Adoption playbook for institutions
90 minAdvanced
A single well-trained teacher does not add up to a school that uses AI well. Getting there takes the pilots, the champions, and the measurement this module builds, plus the habits that hold once the trainers pack up and leave.
Picking pilot subjects and departments where the time saved is provable
A champions model across teaching and administrative staff
Judging adoption by use
Handling resistance and the workload fears behind it
A 90-day plan waiting on the other side of the sessions

What you will learn

Draft worksheets, lesson plans, and rubrics with AI, and catch problems in each one before a classroom sees it
One worksheet, three levels
Write a first-pass feedback draft on student work that a teacher edits
Draft parent and student communication at the tone and reading level each audience needs
Handle student data within GDPR and institutional policy whenever a workflow brings in AI
Build an academic-integrity approach that does not lean on detectors as the only answer
A pilot becomes the rollout

Who should attend

Teachers and department heads
University lecturers and teaching assistants
School leaders and academic coordinators
Private course and tutoring-center instructors
Corporate learning and development (L&D) teams
Administrative and student-affairs staff

School calendars determine the two days, whether they land in term breaks, in-service days, or after-school blocks. Onsite and live-online formats cover the same syllabus.

Format: Onsite or live online
Duration: 2 days (about 13 hours, can be split into half-day sessions)
Group size: Up to 20 participants per group
Language: English or Turkish
Materials: Prompt library, material templates, and exercise workbook
Certificate: Certificate of completion

AI Training for Teachers6 modules · 13 hoursTeachers and educators use this training to draft lessons, adapt materials, build rubrics, verify sources, and teach responsible AI use, all while every student decision stays with the teacher.View training

AI in Higher-Ed Administration6 modules · 13 hoursAI training for university registrars, admissions offices, and student-services teams: drafting outreach and support replies, policy and accreditation documents, scheduling support, and institutional reports, with enrollment and grading decisions kept firmly with accountable staff.View training

AI in the Public Sector6 modules · 13 hoursFor public-sector teams: turning policy notes, correspondence, and citizen guidance into faster drafts, with named reviewers and firm limits around what AI may never decide.View training

AI Literacy & Prompt Engineering6 modules · 13 hoursAI literacy and prompt engineering training for your whole company. Teams practice on their own workflows across ChatGPT, Copilot, and Gemini, and walk out with a shared prompt library they use again the next day.View training

Tell us who teaches and what they teach. Then show us where the academic calendar has room. We will return a program fitted to those educators and term dates.

Two colleagues updating a workflow board and checking a process change

Which staff is this built for?
Anyone whose job touches teaching or its administration: classroom teachers, university lecturers, tutoring-center instructors, corporate L&D teams, and school leadership. We can group sessions by role or subject so the examples match what each group does every day, and no technical background is assumed of anyone in the room.
How many hours does this take, and where does it run?
Two days of instruction, close to 13 hours total, delivered onsite or live online and usually timed to a term break, an in-service day, or a run of after-school sessions.
Does the syllabus really change for our institution, or is it the same deck every time?
It does change, and noticeably. Before the sessions, we look at what your staff already writes day to day. That becomes the material in the room instead of a generic deck. A primary school and an exam-prep provider walk away with different sessions. So does a corporate academy.
How does the school handle students using AI themselves?
There's a dedicated module for it, and the answer is not just a ban. Detectors produce false positives and false negatives. The useful work starts by redesigning assessment to be harder to outsource. Schools also set classroom rules staff can enforce and teach students responsible use.
What would this cost a school?
By how many people, which format, how deep the customization goes, and location, which means the number depends on the institution asking. Share a quick description of yours and your goals, and a proposal comes back sized to your schools.
What's left with us after the last session?
Nothing from the sessions disappears afterward. The prompt library stays with the school, so do the material templates, and so does the 90-day rollout plan we build together. Follow-up questions still reach us, and a refresher round gets scheduled only if usage genuinely grows into wanting one.
What tools do people actually practice on?
Mainstream ones most institutions already have some access to: ChatGPT, Microsoft Copilot, and Gemini. Where a school has standardized on something like Gemini for Google Workspace or Microsoft 365 Copilot, the exercises move onto that tool instead.
Does student data ever enter the room during training?
No real student information comes into the room. The work is built from invented material, or from records that have been fully anonymized before anyone sees them. A dedicated module covers keeping unapproved tools away from actual student records, tool by tool. Handling that correctly is one of the outcomes the training is built to leave behind.

By team

By industry

By tool

AI Training for Teachers & Education Teams

Why AI in this industry

Half the week goes to work no student sees