Build AI skills you can actually use.
Structured courses and programmes for developers and thoughtful practitioners ready to work seriously with artificial intelligence.
What you can study at Garuda Tech
Three learning tracks, each designed around a specific domain of applied AI work. Different scope, different depth — built for where you are in your learning journey.
AI Ethics and Responsible Practice
A structured course on the ethical dimensions of AI work — fairness, accountability, transparency — explored through case studies and written reflections. Suited for technical and non-technical learners.
- Case study-led learning
- Weekly written reflections
- Small final project
- Open to all backgrounds
Recommender Systems and Personalization
A practical course covering collaborative filtering, content-based approaches, hybrid models, and evaluation methods. Includes hands-on assignments with public datasets and a substantial final project.
- Prior ML experience required
- Public dataset assignments
- Domain-specific final project
- Evaluation methodology focus
Full-Stack AI Application Programme
A five-month programme for software engineers building production-ready AI applications. Covers frontend, backend, model integration, and deployment. Includes peer review, mentor sessions, and a portfolio project.
- Software engineering background needed
- 12–15 hrs/week commitment
- Mentor sessions included
- Shipped portfolio project
What makes learning here different
We focus on the details that tend to get skipped elsewhere — clear prerequisites, structured feedback, and content that treats complexity honestly.
Structured learning paths
Each course has a defined sequence, clear milestones, and explicit prerequisites — so you know where you're headed and what you'll need to get there.
Mentor-led feedback
Instructors and mentors who work in the field review your assignments and project work with specific, constructive observations rather than automated scores.
Hands-on assignments
Real datasets, real codebases, and project briefs drawn from actual scenarios in AI development work. Not toy examples.
Thoughtfully paced content
Weekly content loads are designed around realistic time constraints. Programmes state their expected hours clearly and don't assume you have unlimited capacity.
Peer code review
In our longer programmes, structured peer review builds the habit of reading and critiquing code — a skill that matters as much as writing it.
Honest outcomes
We're specific about what each course builds and what it doesn't. We don't promise careers or transformations — we promise a solid, honest learning experience.
Not sure which course fits where you are?
Send us a message about your background and what you're hoping to develop. We'll point you toward the track that makes sense for your situation.
Frequently asked questions
Do I need prior experience to enrol?
How does online learning work at Garuda Tech?
What is the time commitment per week?
What are the course fees and how do I pay?
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Our location in Bangkok
67/12 Sukhumvit Road Soi 31, Khlong Tan Nuea, Bangkok 10110
Send us a message
Tell us about your background and what you'd like to learn. We'll respond within one business day.
Contact Details
Khlong Tan Nuea
Bangkok 10110, Thailand
Saturday: 10:00 – 14:00
Bangkok Time (ICT, UTC+7)