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.
Recommended format
Focused workshop · 4 hours
Delivery
On-site / in person, online, or hybrid
01 · Best for
Is this the right workshop?
Universities, schools, executive-education teams and academic communities planning practical AI learning for a defined cohort.
Not the best fit when
- — You need a finished software implementation rather than team training.
- — You want a passive keynote without practical work.
- — You require a legal or compliance guarantee.
02 · What changes after the workshop
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.
- 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
03 · Tools your team will use
Tools your team will 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.
04 · From uncertainty to a shared way of working
Give each university audience a practical, responsible way to use AI in its own work.
- Before
- Different university audiences use AI for different reasons, yet one generic awareness session rarely changes teaching, study, research or service work.
- In the room
- The team uses ChatGPT, Agent Design Canvas, Your approved AI tools on its own examples. Every exercise ends with checking, improvement and a clear human decision.
- The day after
- Participants leave with more than notes: Track-specific workshop workbook, Responsible-use guidance, Ready-to-adapt workflow or agent brief and an agreed next step.
05 · A practical syllabus
A practical syllabus
01 Choose the audience track
Align the session with students, faculty, research, services or executive education.
Working output: Track-specific workshop workbook
02 Understand current capabilities
Use the tools available to the institution and make limits visible.
Working output: Responsible-use guidance
03 Practise role-specific work
Work on teaching, study, research or service scenarios.
Working output: Ready-to-adapt workflow or agent brief
04 Set responsible boundaries
Discuss integrity, privacy, disclosure, verification and human responsibility.
Working output: Cohort next-step plan
05 Take the work back
Create guidance, templates and next steps for the cohort.
Working output: Track-specific workshop workbook
06 · What your team takes away
A prepared workshop, not a generic presentation
- Track-specific workshop workbook
- Responsible-use guidance
- Ready-to-adapt workflow or agent brief
- Cohort next-step plan
Optional follow-up clinics and adoption support can be added after the workshop.
- • Sponsor alignment call
- • Short participant questionnaire
- • Examples adapted to your work
- • Facilitated live practice
- • Digital resources
- • Concise facilitator summary
07 · Delivery options
One workshop, three ways to take part
The learning goals, practical exercises and take-away resources stay consistent. We adapt the room, collaboration tools and facilitation rhythm to the way your team is joining.
- On-site / in person
- Delivered at your organisation or an agreed venue, with the facilitator and participants working together in the room.
- Online
- A fully live, facilitated workshop using an agreed video platform, shared exercises and structured small-group work.
- Hybrid
- Designed for a team split between the room and remote participants, with activities adapted so both groups can contribute and receive support.
UNIL · Innovation Time Lausanne · May 2026
A real campus session, kept in its proper context
At UNIL in Lausanne, AI Workshop and Innovation Time Lausanne ran a 90-minute Agentic AI and finance session. Students used the workshop method to structure finance-agent briefs and discuss verification and human responsibility.
08 · Facilitated by a practitioner
Facilitated by a practitioner
George Raymond Alchoufi combines software engineering, facilitation and executive coaching. The session is adapted to your team’s work, approved tools and review responsibilities.
Program content reviewed July 2026
Delivered across Switzerland
Available on-site in Zürich, Geneva, Lausanne, Basel, Bern and other Swiss locations by arrangement, with hybrid delivery for distributed teams.
Continue your team’s learning
Questions before booking
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.