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AI for Educators — Hands-On Training for University & School Faculty

Students already use AI — 69% for problem-solving. You either manage this process, or it manages you. Hands-on training in 4 hours: from zero to ready-made scenarios.

Most faculty use AI to reproduce old practices — but they need to build new ones. 4-hour hands-on training: ChatGPT, NotebookLM, Perplexity for lesson prep and restructuring assessment. Founder's track record: 75+ universities via University 20.35.

75+
universities (founder, via University 20.35)
4
hours, zero to scenarios
66%
of people globally use AI
80%
practice, not theory

Why 'implement AI' can't be done by decree

🎓

Administration mandates AI — but most faculty haven't used it

New standards require digital competencies, accreditation in 1-2 years. Most instructors don't use AI, and those who tried just reproduce old practices in a new tool. Free 2-hour webinars don't solve the problem.

🤖

Students use AI, faculty don't

69% of students use AI for studying, 61% for note-taking. The gap between students' and faculty's digital skills undermines authority and devalues grades.

🚫

AI detectors don't work — and distrust grows

Real detector accuracy is 50-80%, not the claimed 99%. False positives up to 50%. Vanderbilt adopted and abandoned them. The answer is not to ban AI, but to restructure assessment.

What faculty get in 4 hours

🛠️

Hands-on practice with specific tools — in 4 hours

  • ChatGPT — lesson prep, rubrics, assignments
  • NotebookLM — literature review and summarization
  • Perplexity — fact-checking and source discovery
  • Format: 'open ChatGPT and do this' — not a lecture about AI
🔍

Why AI detectors don't work — and what to do instead

  • Breaking down real detector accuracy with examples
  • Alternative formats: oral exams, defending task formulation, case analysis
  • How to redesign a course so AI becomes a helper, not a threat
📦

Methodology materials and templates — ready for the next class

  • Ready-made prompt templates for typical faculty tasks
  • Grading rubrics that account for AI tools
  • AI usage scenarios for lectures, seminars, and independent study
  • QuantaQuiz — AI test generator aligned with Bloom's taxonomy (quantaquiz.ru)

Three stages of AI adoption in education

AI in education evolves through three stages — most universities are stuck at the first:

  1. Content — AI helps prepare for class (generating materials, literature search, test creation). This is where our training starts.
  2. Process — AI assists during class (interactivity, feedback, adaptive assignments).
  3. Individual trajectories — personal AI agents, instructor becomes a tutor.

This training covers stage 1. For stage 2 — Flipped Classroom. For stage 3 — Adaptive Programs.

AI application examples by discipline

  • Humanities: ChatGPT as literary critic, text analysis from different perspectives, discussion question generation
  • STEM: generating problem variants, checking solutions, data visualization
  • Business and economics: real-time case studies on current data, market analysis, scenario forecasting

What's already happening globally

  • Alpha School (USA): 2 hours of AI-tutored study + project work. Results above traditional schools.
  • Khan Academy: AI tutor Khanmigo — from 40,000 to 700,000 users in one year.
  • Edo Boys High School (Nigeria): 6-week AI pilot achieved effects comparable to ~2 years of traditional instruction.
  • Teach for Kyrgyzstan: QuantaQuiz pilot, teachers creating AI assistants.

ChatGPT, NotebookLM, Perplexity: an AI toolkit for faculty

Faculty spend 4–5 hours per week on routine tasks that AI can cut dramatically: preparing materials, literature search, creating tests, fact-checking. Yet most only use ChatGPT — and only for text generation. In our training, we teach a three-tool workflow where each tool serves a distinct purpose:

  • Perplexity — finding current sources with citations and links. Unlike Google, it delivers structured answers with verifiable data. Perfect for updating lectures and fact-checking.
  • NotebookLM — upload PDFs, articles, textbooks and get summaries, lesson plans, slides, and even podcasts from your sources. Everything is grounded in your materials, not generated from thin air.
  • ChatGPT — generating assignments, rubrics, discussion questions, adapting materials for different student levels. Training format: "open ChatGPT and do this" — practice from minute one, not theory.

Every participant leaves with ready-made scenarios for their subject and prompt templates they can use in the very next class.

Why AI professional development for faculty cannot wait

87% of students at leading universities use AI for studying, while only 16% of faculty apply AI in teaching. Just 6% of educators believe their institution has provided sufficient resources for AI literacy (Global AI Faculty Survey 2025). Meanwhile, 80% of faculty say they simply don't understand how to apply AI in their discipline. The problem isn't resistance — it's a lack of practical training. That's why our training is structured as a workshop, not a lecture: every participant works with their own subject and leaves with ready-made scenarios for the next class.

AI plagiarism detectors: why banning AI is a dead-end strategy

Universities that rely on AI detectors face three problems. First, real accuracy: a 2026 study found false positive rates of 43–83% on authentic student writing. Second, bias: for non-native English speakers, false positives reach 61%. Third, accuracy drops to 60–80% on paraphrased text. A telling case: at UC Davis, 17 students were flagged — manual review revealed 15 of 17 were false positives. The answer isn't banning AI but restructuring assessment: oral exams, task formulation defense, case analysis. In our training, we walk faculty through these alternative formats and help them adapt assessments for their specific courses.

Want to prepare your faculty for AI?

Who this training is for

🏛️

Provosts and academic directors

Challenge

Accreditation in a year, must demonstrate digital transformation, but 60% of faculty resist

Solution

Systematic training after which faculty actually start using AI. With methodology materials and templates

👩‍🏫

Instructors

Challenge

Administration demands AI, but I don't know where to start. I've seen ChatGPT, but how do I use it in class?

Solution

4 hours of practice — leave with ready scenarios for your subject. No prompt engineering required

📊

Professional development centers

Challenge

Need an AI literacy program for faculty, but no in-house expertise

Solution

Ready module for PD program integration. Train-the-trainer: your methodologists can deliver independently

Vitaly Genarov

Vitaly Genarov

Trainer

Founder of EdUnit, HSE University graduate (philosophy). Ex-Director of Educational Intensives at University 20.35, worked with 75+ universities. Conducts AI trainings for faculty and methodologists. Speaker at 10+ conferences on AI and education.

How implementation works

1

Preliminary audit

1–3 days

Assess current AI literacy level across faculty, identify priority departments and courses

2

Training (4 hours)

4 hours

Hands-on with ChatGPT, NotebookLM, Perplexity, NanoBanana using participants' own materials. Everyone works with their subject

3

Methodology materials

instant

We deliver prompt templates, grading rubrics, and classroom scenarios. Ready to use immediately

4

Follow-up support (optional)

2–4 weeks

Post-training support: Q&A, case analysis, help integrating AI into specific courses

Pricing

Group training

from $300
≈ €276
  • 4 hours of hands-on practice with AI tools
  • Group of up to 30 instructors
  • Methodology materials and prompt templates
  • EdUnit certificate
  • Training recording for participants
Discuss training

Train-the-trainer

from $700
≈ €644
  • Training for a group of methodologists (10–15 people)
  • Full material package for independent delivery
  • Methodological support for the first independent session
  • Scale to entire faculty at no additional cost
  • License to use materials within the university
Request program

Prices are indicative. Final cost confirmed in contract.

FAQ

Is it suitable for instructors with no AI experience?
Designed exactly for them. We start with 'open ChatGPT and type this,' and by the end participants independently create materials for their subject.
What is the delivery format?
4 hours, hybrid (online + in-person). Group of 10–30 people. Each participant works with their own subject material. For universities with large faculty — phased scaling: pilot group, then expansion to departments.
Is a professional development certificate issued?
An EdUnit certificate is issued. For formal PD certification, we partner with licensed organizations — ask when ordering.
How is this different from free AI-in-education webinars?
Three key differences: (1) Each participant works with their own subject material, not watching someone else's examples. (2) Practice takes 80% of the time, theory — 20%. (3) You leave with ready-made templates and scenarios applicable in the very next class.
Can it scale to the entire university faculty?
Yes, through train-the-trainer format. We train a group of methodologists and hand over all materials — prompts, rubrics, scenarios. Your methodologists then independently train the rest of the departments.
Which AI tools are used in the training?
ChatGPT, NotebookLM, Perplexity, NanoBanana, QuantaQuiz. All free or with a free tier. Each solves a specific faculty task.
How much does the training cost?
Cost depends on format and group size. Approximately from $300 for a group of up to 30 participants. For university-wide programs — custom pricing with train-the-trainer model.

Your faculty will start using AI — instead of fearing it

We respond within one business day

We never share your data with third parties

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