Start from zero, clean up your vibe-coded app, or build AI solutions right away.
There are three tracks. The 3-week programme helps you build and deploy apps with more confidence. The 8-week programme takes you into AI/ML. Applied AI Engineering combines both, plus a 24-hour hackathon.
Hybrid · Saturdays onsite in Yogyakarta · Starts 26 September 2026
Which one sits closest to your experience and goals?.
I am just starting out, or deployment still feels shaky.
Start from zero, or learn to read your coding agent’s output until the app is live.
Essential AI-Native · 3 Weeks
View ProgramCoding and deployment are fine. I want to get into AI/ML.
Learn to choose approaches and build AI systems real users can test.
Applied AI/ML · 8 Weeks
View ProgramI want the full path to a live AI product.
Software engineering, a hackathon, then build an AI product with a team.
Applied AI Engineering · 12 Weeks
View ProgramCompare the time, starting point, and final outcome.
Beginners, or deployment still feels shaky
Comfortable with coding and deployment
Foundations through to a live AI product
3 Weeks
8 Weeks
12 Weeks
A live full-stack app
Two AI solutions
An app, a hackathon, and an AI product
Rp3.000.000
Rp6.000.000
Rp7.000.000
Save Rp2.000.000Beginners, or deployment still feels shaky
3 Weeks
A live full-stack app
Rp3.000.000
Comfortable with coding and deployment
8 Weeks
Two AI solutions
Rp6.000.000
Foundations through to a live AI product
12 Weeks
An app, a hackathon, and an AI product
Rp7.000.000
Save Rp2.000.000Weekdays to learn and build. Saturdays to coordinate and raise the quality of your product and solutions with the instructors.
You learn and build independently through the LMS around 5–10 hours a week. Every Saturday we meet onsite in Yogyakarta for extra classes, coordination and build sessions, and feedback.
Monday to Friday
5–10 hours total per week
Set aside about 1–2 hours a day to learn through the LMS and work on the exercises.
Onsite · 08.00–17.00
Class, discussion, and build time with your team in Yogyakarta.
Monday to Friday · 5–10 hours total per week
Set aside about 1–2 hours a day to learn through the LMS and work on the exercises.
Saturday · Onsite · 08.00–17.00
Class, discussion, and build time with your team in Yogyakarta.
Feedback from several angles
Engineering, AI, product, and user needs.
Results that actually run
An app or solution people can open and test.
Build solutions with practitioners.
Instructors help on the engineering, AI/ML, and product side. Product Owners help the team understand users and business needs. They give direction and feedback, but the team keeps making the decisions.
Instructors & Product Owners
Reza Ilham Maulana
Full-stack & AI Agent
Sisi Florensia
AI Product Management
Thomas Listu
Machine Learning & Generative AI
Frederik Sakspari
AI Systems & Deployment
Agnes Kay
Stakeholder & business context
Rahul Jalan
AI product & production
Scholarship
Six seats, subsidized up to 80%.
Available for the 3-week program and Applied AI Engineering.
Closes
14 September 2026
Every Saturday you learn it, then immediately put it to work.
There are classes to break down concepts, build sessions to try things out, and time to discuss your work with instructors and the team.
01 Class
Understand the concept and its trade-offs.
02 Build Session
Apply it directly to the solution you are building.
03 Feedback
Bring the part that still has you stuck.
04 Presentation
Explain your decisions and show the results.
05 Community
Meet and learn with the other participants.
01 Class
Understand the concept and its trade-offs.
02 Build Session
Apply it directly to the solution you are building.
03 Feedback
Bring the part that still has you stuck.
04 Presentation
Explain your decisions and show the results.
05 Community
Meet and learn with the other participants.
Before you register
Yes. Essential AI-Native and Applied AI Engineering can be taken from zero. You start with setup and how to work with a coding agent, then take an app all the way to live.
Ready to start?.
Start from zero, get more confident with deployment, or go on building AI products? Learn intensively with practitioners at Universa Academy. Pick the program that fits, then build and deploy something other people can actually use.