UNIVO SCHOOL OF AI · LIVE LEARNING

Learn AI live.
Put it to work.

Build skills for the work you do. Learn directly with faculty, practise on real problems and leave with evidence of what you can create.

Faculty-led Project-based Updated for 2026
Professional learner on campus
Learn together. Build with confidence.Live classes · Guided practice · Faculty feedback
15Practical AI programmes
100%Core teaching live
01Portfolio capstone per course
2026 curriculum preview · Proposed live programmes; cohort dates, fees and teaching assignments are being finalised.

FIND YOUR AI LEARNING PATH

AI for the work you do.

Start with your role. Choose a programme. Build something that matters.

15 programmes · One live learning promise

15 programmes

LIVE LEARNING, BUILT AROUND PRACTICE

Your classroom is live. Your learning keeps going.

Every core concept, workshop and project review is taught live online. Recordings and short explainers support preparation, revision and catch-up.

Explore the live format
01

Learn it live

Two 90-minute classes each week. Ask questions, work through examples and learn alongside your cohort.

02

Put it into practice

Build a useful artefact with guided workshops and weekly assignments.

03

Get expert feedback

A 60-minute weekly clinic to review your work, troubleshoot and refine your approach.

04

Revisit when you need

Recordings and optional explainers support your learning between live sessions.

SHOW WHAT YOU CAN DO

A portfolio.
A live demonstration.
A skill you can use.

Every programme builds towards an applied capstone. You’ll show your work, explain your decisions and defend the quality of your results.

40%Weekly practical work
40%Capstone and evidence
20%Live demonstration

Proposed assessment model. Final academic requirements will be confirmed before enrolment.

BEFORE YOU BEGIN

Your questions,
answered.

Clear expectations for a better learning experience.

Are all the core classes live?

Yes. The proposed format teaches every core module through live online classes, workshops and faculty clinics. Recordings and optional explainers support preparation and revision.

What happens if I miss a live class?

Use the supplementary recording to catch up and complete the practical work. A live make-up or oral review is proposed where needed. The final attendance policy will be confirmed before enrolment.

Do I need to know how to code?

Business and domain programmes use guided tools and do not require coding. Engineering and coding-agent programmes require the technical prerequisites shown on their course pages.

When do classes start and what do they cost?

This is a preview of the proposed live offering. Dates, fees and named teaching assignments will be published once confirmed. No enrolment payment is collected on this review site.

How do you keep the curriculum current?

Each programme has a version, a review date and a next review date. The proposed academic process reviews tool changes monthly, checks labs before every cohort and reviews learning outcomes quarterly.

Are AI tool subscriptions included?

Tool choices are illustrative and may change by cohort. Any required paid subscriptions or API credits must be disclosed before enrolment; inclusion has not yet been confirmed.