# AI workshops for universities, faculty and students

> Give each university audience a practical, responsible way to use AI in its own work.

Choose a track for students, faculty, researchers, professional services, executive education or alumni. Each format combines current tools, guided practice, academic judgement and artefacts participants can adapt after the session.

## What this program changes in practice

A university rarely has one AI audience. Students are deciding how to learn and disclose use, faculty are redesigning teaching and assessment, researchers are testing new support tools, and professional services are looking at recurring workflows. A strong campus program respects those differences. AI Workshop therefore starts with the cohort and its responsibilities, then selects the examples, level of technical depth and take-home artefacts that make sense for that group.

The session is not a fixed sequence of demonstrations. The facilitator works with the team on Choose the audience track, Understand current capabilities, Practise role-specific work, using ChatGPT, Agent Design Canvas, Your approved AI tools when those systems are approved and available. Participants compare first results, make missing context visible and improve the work together. They learn not only which request works, but why an output is reliable enough to move into the next working step.

The value should not end when people leave the room. Exercises therefore produce concrete outputs such as Track-specific workshop workbook, Responsible-use guidance, Ready-to-adapt workflow or agent brief. They give colleagues a traceable starting point, show where human review is still required and make the next pilot smaller and more realistic. Optional follow-up work can build on those artefacts instead of beginning again with another general introduction.

## What an AI Workshop looks like

These are photographs from real AI Workshop sessions in Switzerland—not generated illustrations. The captions preserve the actual session context, even when an image is used to show a wider part of the learning experience.

![Physical method cards make the discussion and review steps visible. Innovation Time Lausanne × AI Workshop · UNIL · May 2026.](https://aiworkshop.ch/images/evidence/university-ai-workshop-agent-design-method-cards-lausanne.webp)

_Physical method cards make the discussion and review steps visible · Innovation Time Lausanne × AI Workshop · UNIL · May 2026_

![A live explanation connects the method to the cohort’s questions. Innovation Time Lausanne × AI Workshop · UNIL · May 2026.](https://aiworkshop.ch/images/evidence/university-ai-workshop-innovation-time-facilitator-lausanne.webp)

_A live explanation connects the method to the cohort’s questions · Innovation Time Lausanne × AI Workshop · UNIL · May 2026_

![The facilitator reviews a participant’s work directly on the laptop. Innovation Time Lausanne × AI Workshop · UNIL · May 2026.](https://aiworkshop.ch/images/evidence/university-ai-workshop-george-mentoring-student-agent-design-lausanne.webp)

_The facilitator reviews a participant’s work directly on the laptop · Innovation Time Lausanne × AI Workshop · UNIL · May 2026_

![Participants hold the printed resources used to structure the exercise. Innovation Time Lausanne × AI Workshop · UNIL · May 2026.](https://aiworkshop.ch/images/evidence/university-ai-workshop-resources-lausanne.webp)

_Participants hold the printed resources used to structure the exercise · Innovation Time Lausanne × AI Workshop · UNIL · May 2026_

## Program facts

- Recommended format: Focused workshop · 4 hours
- Alternative formats: Core workshop · 4–6 hours, Core workshop plus optional follow-up
- Delivery: On-site / in person, online, or hybrid
- Languages: Delivered in English, French or German
- Prerequisites: No technical prerequisite; exercises use approved tools and non-sensitive examples.
- Audience: Universities, schools, executive-education teams and academic communities planning practical AI learning for a defined cohort.
- Reviewed: 2026-07-10

## Tools participants use

- **ChatGPT:** Draft, analyse, research and turn recurring work into reusable team instructions.
- **Agent Design Canvas:** Define the job, sources, tools, permissions, decisions and human checkpoints before building an agent.
- **Your approved AI tools:** Exercises adapt to the systems, licences and data boundaries your organisation has approved.

## Outcomes

- Select the right track for the cohort
- Practise tasks that match academic roles
- Address integrity, privacy and human judgement
- Leave with guidance and artefacts that can be reused

## Practical syllabus

### 1. Choose the audience track

Align the session with students, faculty, research, services or executive education.

**Working output:** Track-specific workshop workbook

### 2. Understand current capabilities

Use the tools available to the institution and make limits visible.

**Working output:** Responsible-use guidance

### 3. Practise role-specific work

Work on teaching, study, research or service scenarios.

**Working output:** Ready-to-adapt workflow or agent brief

### 4. Set responsible boundaries

Discuss integrity, privacy, disclosure, verification and human responsibility.

**Working output:** Cohort next-step plan

### 5. Take the work back

Create guidance, templates and next steps for the cohort.

**Working output:** Track-specific workshop workbook

## What the team takes away

- Track-specific workshop workbook
- Responsible-use guidance
- Ready-to-adapt workflow or agent brief
- Cohort next-step plan

## Prepared delivery

- Sponsor alignment call
- Short participant questionnaire
- Examples adapted to your work
- Facilitated live practice
- Digital resources
- Concise facilitator summary

## Frequently asked questions

### What will our team achieve in the AI for Universities workshop?

Give each university audience a practical, responsible way to use AI in its own work. The practical outcomes are: Select the right track for the cohort; Practise tasks that match academic roles; Address integrity, privacy and human judgement; Leave with guidance and artefacts that can be reused.

### Who is the AI for Universities workshop designed for?

Universities, schools, executive-education teams and academic communities planning practical AI learning for a defined cohort.

### Which tools will participants use?

The practical stack includes ChatGPT, Agent Design Canvas, Your approved AI tools. Exercises are adapted to the licences and systems your organisation has approved.

### How long is the workshop and how is it delivered?

The recommended format is Focused workshop · 4 hours. Every core workshop is designed to stay within four to six hours; alternatives include Core workshop · 4–6 hours, Core workshop plus optional follow-up. Choose an in-person session at your organisation or an agreed venue, a fully online workshop, or a hybrid format. Delivery is available in English, French or German.

### What preparation is required?

No technical prerequisite is required. We hold a short sponsor alignment call and participant questionnaire, then adapt examples to approved tools and non-sensitive work.

### What does the team take away?

The working package includes Track-specific workshop workbook, Responsible-use guidance, Ready-to-adapt workflow or agent brief, Cohort next-step plan, digital resources and a concise facilitator summary.

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Provider: AI Workshop Switzerland  
Canonical page: https://aiworkshop.ch/universities/  
Contact: hello@aiworkshop.ch