Applied AI Engineering · 12 Weeks
Build and deploy with confidence until your AI product is live.
Strengthen how you build and deploy applications, test yourself in a hackathon, then build an AI/ML solution with a team. By the end of the program, your AI product is live and ready for early users.
- ✓Hybrid · Saturdays onsite in Yogyakarta
- ✓Deploy to a live URL from week one.
- ✓6 scholarship seats available, up to 80% subsidised.
The foundation is not left behind after three weeks.
What you learn in Essential is used right away at the hackathon, then becomes the base for building an AI/ML solution over eight weeks.
Understand code, errors, and deployment.
Use it while working with a team under time pressure.
Apply it to an AI solution ready for user testing.
Understand code, errors, and deployment.
Use it while working with a team under time pressure.
Apply it to an AI solution ready for user testing.
Start from the foundation.Climb to an AI product ready for testing.
Essential AI-Native Software Engineering
Build a full-stack web app to live. You learn to understand code, read errors, connect frontend and backend, then check security before deploying.
AI Creation Hackathon
Join a new team, set the scope, then build and deploy an AI prototype in 24 hours.
Applied AI/ML
Learn AI/ML, system design, evaluation, MLOps, and deployment while building two AI solutions: one from the Product Owner's brief, one from your team's own idea.
Work you can open and explain.
A full-stack app
An app with a backend and database you build and deploy yourself.
A hackathon prototype
An AI prototype finished with a team in 24 hours.
Two live AI solutions
One answers the Product Owner's brief. The other comes from your team's idea, ready for a market test.
A Demo Day recording
A professional recording of you presenting your team's product.
Not just learning AI.You take the solution all the way to live.
From understanding the problem, building and testing the solution, to making decisions and presenting the results with your team.
Understand the problem that needs solving.
Build the solution with your team.
Deploy, test, then improve.
Make decisions and explain the reasoning.
Learn alongside people who are just as serious.
Understand the problem that needs solving.
Build the solution with your team.
Deploy, test, then improve.
Make decisions and explain the reasoning.
Learn alongside people who are just as serious.
Documentation from Universa Academy programs and hackathons.
Self-paced study and practice on weekdays.Build together on Saturdays.
You learn the core material through the LMS. Class time is for asking, trying, and fixing what you are building.
Study the material in the LMS
Watch the videos, read the material, then do the exercises before Saturday class.
Onsite class and build sprint
Start with a short exam, continue through four class sessions, then apply the material with your team.
Show your progress
Test what is running, listen to feedback, then decide what to fix next.
Learn alongside practitioners.
Teachers help on the engineering, AI/ML, and product side. Product Owners help your team understand users and business needs. They give direction and feedback; your team still decides.
Teachers and supervisors
For you who want to strengthen the foundation and continue until your AI product is live.
- Never coded, or have used a coding agent but are not yet confident with engineering and deployment.
- Can set aside 5–10 hours of self-paced study every week.
- Can attend onsite every Saturday in Yogyakarta.
- Ready to work in a team and own your part.
- No time for assignments and independent practice.
- Only after a certificate without wanting to build a product.
- Cannot keep the team rhythm for twelve weeks.
Frequently asked questions.
Short answers to the important things about the 12-week Applied AI Engineering Bootcamp.
For you if you have never coded, or have built apps with a coding agent but are not yet confident with engineering and deployment.
Start 26 September. Finish with an AI product that is live.
Self-paced study and practice on weekdays, then meet onsite every Saturday in Yogyakarta.