NAVER Cloud Academy
ProposedA proposal to design and run the AX program for university STEM students
- Used in
- University STEM students
- Our role
- Program design, instructor team and hands-on delivery
SERVICE 03
AX Literacy
We train people until they can build their own working AI. What they leave with is a working system, not a certificate.
Who it's for
- Organizations where AI tools are available but adoption is not growing
- Universities that want practical, job-ready training for STEM students
- Universities bringing AI into teaching, research and academic administration
AT A GLANCE
- 01NAVER Cloud AcademyUniversity STEM students
- 02Faculty AI LabUniversity faculty
- 03Custom workshopsCompanies and public institutions
WHEN THIS SOUNDS FAMILIAR
If this sounds like you
It makes sense during the session, but nobody can repeat it alone afterwards.
People learn the tool but never connect it to their own work.
When a question comes up there is nowhere to ask, so progress stops.
OUR APPROACH
How Ravenbe approaches it
Teaching tool features from a fixed syllabus stops working the moment the course ends. Ravenbe starts from the real problems participants bring, so each person leaves with one AI they actually use at work. Every week they build, present and critique each other’s work — and the instructors are engineers who build these agents in the field.
Deliverables
- Assessment and track assignmentCurrent skill level and the problems each person wants to solve
- A result per participantAt least one AI system they use in their own work
- Practice records and workbookA personal record of decisions and revisions
- Follow-up supportOnline clinics and a pilot project for one representative task
HOW IT WORKS
The process
- 01
Assess first
We survey current skill level and the work problems people want to solve, then assign tracks.
What you provide
Participant list and pre-course survey
- 02
Build every session
Learn, build and present each session. Less lecture, more hands-on work and coaching.
What you provide
Venue and lab environment
- 03
Finish something real
Each participant completes at least one working AI system and presents it.
What you provide
Schedule for the final presentations
- 04
Keep it going
Online clinics resolve the problems that surface in real use, and one representative task becomes a pilot project.
What you provide
Select the follow-up project
WHAT WE WORK WITH
Programs
Faculty AI Lab
ProposedThirty professors, five weeks, one working AI system each
- Used in
- University faculty
- Our role
- Four tracks (teaching, research, administration, Agent Lab), one-on-one coaching, completion measured by what you built
Custom workshops
From first hands-on sessions through automating real tasks
- Used in
- Companies and public institutions
- Our role
- A program designed around your actual work, delivered as hands-on practice
FAQ
Frequently asked questions
How is this different from other AI training?
It starts from the problems participants bring rather than a fixed syllabus and recorded content. The instructors are engineers who build these agents in the field.
Will it stall again once the course ends?
That is why people leave with a result and why follow-up is built in. Online clinics resolve real-use problems, and our engineers turn one representative task into a working pilot.
Can non-technical people take part?
Yes. An assessment sets the level and assigns tracks — by job for corporate workshops, by year and skill for the academy.
START HERE
Start with a first hands-on session
No installation, no preparation. We run one of your real tasks through AI together, and the next step becomes obvious.
Book a hands-on sessionPARTNERS
- NAVER Cloud
- AI3
- Playmore · Infrashift
- All partners →
MORE SERVICES
Other services
AX Engineering
We design and build task-specific agents when nothing on the market fits.
AX Assistant
We roll out everyday work AI and collaboration platforms, then make them stick.