Applied AI/ML
Build and deploy AI solutions.
An 8-week program for those already comfortable with coding. You apply AI system design, MLOps, and deployment while building AI/ML solutions.
- ✓Hybrid · Saturdays onsite in Yogyakarta
- ✓Build and deploy two AI/ML solutions.
- ✓Demo Day: pitch your team’s product.
Work a brief with a Product Owner. Then run with your team's idea.
The material keeps running every week. You apply it to AI solutions within the same team.
A solution from the Product Owner's brief.
A deployed proof of value, tested and reviewed with the Product Owner
A product from the team's idea.
An AI product developed until it is ready for a market test, presented at Demo Day
Every week, new lessons go straight into the solution you are building.
Self-paced study and practice on weekdays. Every Saturday you test your understanding, take four material sessions, then apply them with your team.
AI/ML foundations
Traditional ML for text, LLM basics, open-source models, and AI infrastructure. Closes with product-idea pitches, idea selection by participants, and forming the team you work with through the end of the program.
An AI system ready to run
System design, RAG, agentic workflows, evaluation, MLOps, and deployment.
An AI solution from the team's idea
Product iteration, dress rehearsal, and a Demo Day to present the results.
From a model to a system people can use.
An accurate model is not enough. You learn to design the flow, test outputs, keep cost and latency in check, then monitor the system after release.
Teachers & Supervisors.
The material is taught by product and engineering practitioners. Product Owners provide context on needs, give feedback, and help the team test decisions.
User needs help drive the technical decisions.
The team receives context, lays out options, then owns quality, latency, and cost. The Product Owner helps keep the solution relevant and usable.
The team still makes the decisions and builds the solution.
Learn AI andtake 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.
This program is for you if you want to take AI solutions beyond experiments.
- Already comfortable with coding and basic deployment.
- Want to understand the choice between scripts, traditional ML, and generative AI.
- Ready to work in a team with clearly owned parts.
- Can attend onsite every Saturday in Yogyakarta.
- Looking for a program without self-paced weekday work.
- Only want to experiment without testing or deploying the results.
- Cannot commit to eight weeks of teamwork.
What you usually want to be sure of first.
Short answers to the important things before you start the Applied AI/ML program.
Around 5–10 hours of self-paced work on weekdays, plus an onsite class in Yogyakarta every Saturday, 08.00–17.00.
By December, your AI solution is running and ready for the market.
Classes start 31 October 2026. Hybrid in Yogyakarta, with an onsite class every Saturday.