AI for Education

Teach better.
Not just faster.

28 courses across lesson design, assessment, differentiation, curriculum, and administration. Built for educators who know AI is in their classroom and need to know what to do about it.

3-day free trial 30-day full refund Institutional invoicing available
Academic integrity

This teaches educators to use AI ethically. Not to replace student learning.

The antidote to AI misuse is AI literacy. Educators who understand AI design assignments that make misuse visible, unproductive, and unnecessary. This program teaches the pedagogical frameworks that make academic integrity sustainable in classrooms where AI access is permanent.

Integrity by design, not by detection

The courses teach assessment design that makes AI-only submission pointless — where AI is a tool in the process, not a substitute for the thinking.

AI literacy as a learning outcome

Students who understand how AI works, where it fails, and what it cannot do become better critical thinkers — about AI and about information in general.

Policy-ready, not policy-dependent

Frameworks designed to work within any institutional AI policy — permissive, restrictive, or still being written.

The problem

Teachers spend half their time on work that never reaches a student.

The average teacher spends 12+ hours per week on grading, lesson planning, progress reports, and compliance paperwork. It is a time problem. AI does not replace the teacher. It returns the teacher to the work that made them choose this profession.

The policy-practice gap

Your school has an AI policy. Your classroom has thirty students who found the loopholes in the first week. Policies say what is allowed — they do not teach how to design instruction that makes the policy workable.

One PD day, then silence

The district ran a workshop. It covered the basics. Then the support stopped. A single session cannot teach lesson redesign, assessment strategy, or differentiation systems.

Students are ahead of the training

Your students are already using AI for drafts, homework, and research. Some use it well. Some use it to avoid learning. The PD you received does not teach you how to design assignments that make the difference visible.

Capabilities

What AI-ready teaching practice looks like.

Specific, buildable capabilities taught through curricula designed for educators, not developers.

AI-assisted lesson planning

Design lessons that account for student AI access — where it strengthens learning and where it undermines it.

EDU-01

Differentiated instruction design

Adapt content to multiple reading levels, learning profiles, and accommodation requirements without creating thirty separate lesson plans.

EDU-03

Formative assessment creation

Real-time insight into student understanding without tripling your grading load.

EDU-02

Feedback generation and rubric development

Rubric systems that maintain consistency across sections and graders, with substantive feedback at sustainable pace.

EDU-02

Student progress analytics and IEP documentation

Identify struggling students earlier and generate compliant IEP documentation in a fraction of the current time.

EDU-03

Administrative workflow automation

Communication, reporting, and scheduling systems that return operational hours to instruction.

EDU-05
Student outcomes

What your students get when you get better at this.

Every capability you build translates to a better student experience.

More personalized feedback, faster

Students receive substantive comments within days instead of weeks. Feedback that arrives while learning is fresh changes behavior.

Instruction that meets them where they are

Students at every reading level engage with grade-level content adapted to their access point. Twelve students with IEPs, each receiving materials that match their accommodation plan.

Assignments that develop thinking

Assessments designed for AI-available environments require students to demonstrate understanding through process and reflection. Students learn to think with AI, not lean on it.

A teacher who is present

Every hour recovered from administrative tasks is an hour returned to noticing, asking the follow-up question, and sitting with the struggling student.

Value

The math that matters is not revenue. It is capacity.

Run the numbers for your school or department.

Capacity Calculator

5
Teachers, instructional coaches, or staff who would participate.
12 hrs
Lesson prep, grading, differentiation, parent communications, reporting, documentation. 10–15 hours is typical.
30%
Be conservative. Most educators report 30–50% on AI-assisted tasks. Use 20% if skeptical.
100
Used to calculate the reach of improved feedback and differentiation.
Annual hours returned to instruction
720 hours
Students reached with improved practice
500 students
Effective cost per educator
$240/year
Cost per student impacted
$2.40/year

Professional development for your entire department costs less than one substitute teacher day per educator.

For department heads and administrators

Purchase orders, invoicing, and W-9 documentation available. Volume licensing includes implementation support and administrator reporting. Contact institutional@aiversity.io for pricing above 25 seats.

The path

One path. Five disciplines. The way teaching actually works.

A single progression where each discipline builds on the one before.

EDU-01

Lesson Design

6 courses

Lesson planning, activity generation, adaptive strategies, and classroom AI integration.

EDU-02

Assessment

5 courses

Rubric design, grading workflows, formative assessment, and academic integrity frameworks.

EDU-03

Differentiation

6 courses

IEP support, reading level adaptation, intervention tracking, and tutoring systems.

EDU-04

Curriculum

5 courses

Standards alignment, scope and sequence design, resource creation, and course architecture.

EDU-05

Administration

6 courses

Communication, enrollment, scheduling, reporting, and professional development systems.

Curriculum

28 courses. Here is exactly what is inside each one.

Lesson Planning Foundations AI Activity Generation Adaptive Teaching Strategies Classroom AI Tool Integration Collaborative Learning with AI Instructional Workflow Design

You'll learn to

Design lesson plans that account for student AI access. Build activity generators that produce differentiated materials. Create adaptive workflows that adjust instruction based on real-time student data.

What you'll build A complete AI-integrated instructional workflow — lesson templates, activity generator, AI use guidelines, and a department implementation plan.
Assessment Design in an AI Era AI-Assisted Rubric Development Formative Assessment Systems Grading Efficiency & Feedback Loops Academic Integrity Frameworks

You'll learn to

Design assessments that measure understanding even when students have AI access. Build consistent rubric systems. Create formative assessment workflows and enforceable academic integrity frameworks.

What you'll build Redesigned assignments, AI-assisted rubrics, a formative assessment workflow, and an implementable academic integrity policy.
Differentiated Instruction at Scale IEP & Accommodation Support Reading Level Adaptation Intervention Tracking Systems AI Tutoring & Practice Systems Student Progress Analytics

You'll learn to

Adapt content to multiple reading levels and accommodation requirements. Track IEP accommodations and generate compliant reports. Set up intervention tracking and AI tutoring systems.

What you'll build Reading level adaptation tools, IEP tracking system, intervention workflows, and a student progress dashboard.
Standards Alignment & Mapping Scope & Sequence Design Resource Creation & Curation Course Architecture Curriculum Review & Iteration

You'll learn to

Map learning objectives to standards and identify coverage gaps. Design scope and sequence architectures. Create resource generation systems and run data-informed curriculum reviews.

What you'll build Standards mapping tool, scope and sequence framework, resource creation pipeline, and a data-informed review process.
Parent & Community Communication Enrollment & Registration Systems Scheduling & Resource Allocation Reporting & Compliance Professional Development Design Administrative Workflow Automation

You'll learn to

Draft parent communications and translate materials. Design enrollment and scheduling workflows. Create compliance-ready reporting systems and personalized professional development programs.

What you'll build Communication templates, enrollment workflows, reporting dashboards, and a PD design framework.
Free assessment

28 courses does not mean you take 28 courses.

It means there is a path for where you are and where your students need you to go.

The Educator AI Readiness Assessment tells you where you actually stand — so you start where it matters most, not where the list begins.

3 minutes. 6 dimensions. Honest answers only.

Lesson DesignHow intentionally your lesson plans account for student AI access
AssessmentWhether your assessments measure understanding or just completion
FeedbackHow systematically you use AI to generate timely, personalized feedback
AdministrationWhether AI is integrated into communication, reporting, and documentation
AnalyticsHow effectively you use student data to drive instructional decisions
EthicsWhether your integrity approach is policy-based or practice-based

Example readiness score

Lesson Design
71
Assessment
38
Feedback
52
Administration
61
Analytics
29
Ethics
44
Recommended start: EDU-02 (AI Assessment & Feedback) — your assessment design and analytics are the critical gaps. Redesigning assessments will immediately address both integrity challenges and grading burden. Then move to the analytics components in EDU-03.
Results

What happens when educators build AI into their practice.

1,800+Educators enrolled
4.7 hrsAverage weekly time returned to instruction
89%Report improved differentiation within 60 days
74Net Promoter Score (quarterly)
"We redesigned all major assessments using EDU-02. Integrity referrals dropped 64% in one semester — not because we caught fewer students, but because the assignments stopped being completable by AI alone."
Department Chair
Suburban public high school
EDU-02: AI Assessment & Feedback
"Built a reading level adaptation workflow with EDU-03. What took 3 hours per student per week now takes 20 minutes. Twelve students, each getting materials that match their accommodation plan."
Special Education Coordinator
K-8 district
EDU-03: AI Student Support & Differentiation
"Ran EDU-04 standards alignment across our K-12 math curriculum. Found 23 gaps and 14 redundancies that three manual reviews missed. A full summer revision took six weeks with two people."
Curriculum Director
Mid-size suburban district
EDU-04: AI Curriculum Development

Educators from schools and districts nationwide

Results are representative outcomes from early members. Individual results vary. Metrics above are enrollment targets — replace with verified data before launch.

How it works

Designed for educators — summer intensive or 20 minutes between classes.

You build workflows, templates, and systems that work in your classroom, not a demo environment.

Practice-ready workflows, not tool tutorials

Every module outputs something deployable — a lesson template, an assessment system, a differentiation workflow — not a certificate and slides you will never open again.

Challenge → Solution → Build → Test

Department and school implementation built in

Shared resource libraries, implementation guides for department leads, and administrator-facing adoption materials included in every curriculum.

Individual → Department → School-wide

Updated when AI changes, grounded in what does not

Built on pedagogical principles, not specific tools. When a platform updates, tool-specific guidance refreshes within two weeks. Pedagogy outlasts platforms.

Pedagogy = stable | Tools = updated in 2 weeks

Flexible enough for a teacher's actual schedule

Concentrated blocks or twenty minutes between classes. No live sessions, no cohort deadlines. Asynchronous, self-paced, and structured to produce usable output at every stop.

Asynchronous • Self-paced • Usable output at every stop
Questions

The six things you are already thinking.

EDU-02 teaches assessment design for AI-available environments — assignments where AI is a tool in the process, not a substitute for the thinking. Schools using these frameworks report significant drops in integrity incidents because the assignments make cheating unproductive.

Restrictive policies typically apply to student use, not educator professional development. The frameworks work within any policy environment, including where student-facing AI tools are prohibited. Understanding AI makes you a better teacher regardless of your district's current stance.

Every course is built around teaching practice, not tool demos. If you complete a module and cannot use what you learned with actual students by the following week, we failed — and that is why there is a 30-day full refund. Preview the first lesson of EDU-01 right now, no signup required.

It is — and $1,200 covers 28 courses, not one. Most districts have PD budgets for exactly this. Institutional purchase includes invoicing, POs, and W-9 documentation. At the institutional rate, it costs less than one substitute teacher day per educator.

Good. If you can write a rubric or design a unit plan, you can build these systems. The pedagogy is the hard part — and that is the part you already know how to do.

The courses teach pedagogical systems, not specific tools or model versions. When a platform updates, tool-specific guidance refreshes within two weeks. Good teaching outlasts the tools. We teach the practice.

Your membership

Education connects to everything. So does the membership.

Your membership includes every Aiversity path. Here is where educators find the most natural next step.

AI for HR & Talent

Academic administrators building institutional AI adoption

Institutional AI adoption requires the same skills as talent development — change management, learning design, and workforce planning.

27 courses — HR Operations • Talent • L&D • Workforce Analytics

AI for Nonprofits

Education nonprofits and grant-funded programs

Tutoring organizations, after-school programs, and grant-funded initiatives face the same AI challenges with tighter budgets.

24 courses — Mission • Fundraising • Programs • Operations

AI for Creatives

Art, media, and design educators teaching with AI tools

Art, media, and design educators face a unique challenge: the tools students need to learn can also replace the creative process entirely.

40 courses — Image • Video • Audio • Music • Design • Film

AI for Consulting

From classroom coach to professional consultant

Educators who build AI practice often become the person their district calls for help. Learn engagement design, deliverable frameworks, and practice scaling.

30 courses — Engagement • Deliverables • Client • Scaling

AI for Education does not replace professional pedagogical judgment. Educators remain responsible for instructional decisions, assessment, integrity enforcement, and compliance with institutional policies.

The program does not process, store, or access student data. Consult your institution's data privacy officer before deploying AI workflows involving student information. All AI-generated content should be reviewed by the educator before reaching students.

Start now

Your students need you present, not buried in paperwork.

28 courses across five disciplines. Practice-ready workflows built on pedagogy that outlasts platforms.

$1,200 per year. 3-day free trial. 30-day full refund. Institutional invoicing available.

Questions? info@aiversity.io

28 AI education courses3-day free trial • Credit card required
Start free trial