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.
02 Understand current capabilities
Use the tools available to the institution and make limits visible.
03 Practise role-specific work
Work on teaching, study, research or service scenarios.
04 Set responsible boundaries
Discuss integrity, privacy, disclosure, verification and human responsibility.
05 Take the work back
Create guidance, templates and next steps for the cohort.
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
Preparation and resources
- • Sponsor alignment call
- • Short participant questionnaire
- • Examples adapted to your work
- • Facilitated live practice
- • Digital resources
- • Concise facilitator summary
Optional follow-up: Optional follow-up clinics and adoption support can be added after the workshop.
Plan a workshop around work worth improving
What determines the quote?
Share your team size, preferred format, location, approved tools and one workflow you want to improve. These details help scope the preparation, facilitation and any follow-up. Ask for an itemised proposal so you can compare the same scope—not just a day rate.
How should we assess the value?
Choose one representative task and record a baseline before the workshop. Compare the time needed, corrections required and quality of the reviewed output afterwards. Agree who owns the next trial. Treat productivity gains as something to measure, not a promised percentage.
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.
Published evidence · Switzerland
A documented workshop, with inspectable outputs.
At UNIL in Lausanne, a 90-minute Agentic AI and finance workshop produced 18 structured agent specifications. The case study documents the audience, method, materials and public output portfolio.
This is Swiss workshop evidence. It is not a local client reference for France, Austria, the UAE or Saudi Arabia, and it does not claim deployment or financial outcomes.
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.
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.