Three Courses
One Clear Learning Path
From your first steps in AI to building and deploying full systems — each course is designed for where you are now, with a clear view of where it leads.
Back to HomeHow We Teach
Our Teaching Methodology
Each Rungroj course follows the same underlying structure, applied to different levels of complexity. The rhythm is consistent so learners know what to expect.
Read & Watch
Clear written lessons with annotated examples — no lengthy video lectures required.
Practice
Structured tasks that apply each concept in a real context — not multiple-choice quizzes.
Get Feedback
Your submitted work is reviewed by a mentor who responds with specific, actionable notes.
Build a Project
Each course culminates in a project you create and own — the most honest evidence of what you've learned.
Course 01 · Beginner
Introduction to AI Development
A welcoming first course for learners new to building with AI. We cover essential ideas in plain language, introduce the tools gently, and guide you through small practical tasks so concepts take hold naturally. Suited to those exploring a change of direction or starting fresh.
- No prior coding experience assumed
- Structured lessons and practice materials
- Mentor feedback on all submitted work
- Comfortable pace over roughly eight weeks
- Small portfolio project to complete the course
How the course progresses
Introduction to AI concepts and the Python development environment
Working with data: loading, cleaning, and exploring small datasets
Building and evaluating a first simple model
Portfolio project: a small end-to-end AI task with mentor guidance
Course 02 · Intermediate
Hands-On Machine Learning
A practical course for learners ready to build and understand working models. We work through data preparation, training, and evaluation with guided tasks, and support you in shaping a small portfolio project. Well suited to those comfortable with the fundamentals who want deeper practice.
- Basic Python assumed or completed in Course 01
- Mentor reviews and discussion sessions
- Code review on project submissions
- Portfolio project with mentor shaping
- Ten to twelve weeks at a measured pace
How the course progresses
Data collection, preparation, and exploratory analysis
Supervised and unsupervised learning: training and evaluating models
Model selection, tuning, and understanding limitations
Portfolio project: a complete ML pipeline with mentor review
Course 03 · Advanced
Complete AI Systems Track
A comprehensive, mentor-supported track for learners aiming to develop and deploy full AI systems. It moves from model building through to serving, monitoring, and responsible practice — centred on a substantial portfolio project you create with guidance. Recommended for dedicated learners preparing for professional roles.
- Hands-On ML course or equivalent background required
- Regular mentorship and scheduled sessions
- Detailed code review throughout
- Substantial portfolio project from concept to deployment
- Responsible AI and monitoring practices integrated throughout
How the track progresses
Advanced modelling: architecture choices and performance engineering
System design: serving APIs, scalability, and deployment pipelines
Monitoring, drift detection, and production maintenance
Responsible AI: fairness, transparency, and governance
Portfolio project: a full AI system built and deployed with mentor guidance
Which Course Fits You
Course Comparison
Use this table to find the course that matches your current experience and goals.
| Feature | Intro to AI ฿1,900 |
Hands-On ML ฿6,300 |
AI Systems Track ฿12,500 |
|---|---|---|---|
| Prior coding needed | None | Basic Python | ML fundamentals |
| Duration | ~8 weeks | ~10–12 weeks | Several months |
| Mentor feedback | |||
| Code review | |||
| Scheduled mentor sessions | |||
| Deployment & monitoring | |||
| Portfolio project | |||
| Best for | Complete beginners | Those with basics wanting real practice | Learners preparing for professional roles |
Not sure which to choose? Send us a message and we'll help you decide.
Across All Courses
Our Standards
Data Privacy
Learner information is held securely and used only for course administration, in line with Thailand's PDPA.
Quality Assurance
Every lesson is reviewed before release. Learner feedback drives ongoing adjustments to pacing and content.
1-Day Response
All learner questions receive a substantive response within one working day, tracked internally.
Living Content
Course materials are updated when tools or methods shift significantly in the field.
Ethical Practice
Responsible AI considerations are embedded throughout each course, not treated as optional.
Bilingual Support
Mentors respond in both English and Thai so learners can communicate in the language they find clearest.
Fees
Clear, All-Inclusive Pricing
One fee covers the full course — lessons, materials, and all mentor support included.
Beginner
Introduction to AI
฿1,900
Per course, all-inclusive
- All written lessons & materials
- Mentor feedback on work
- Portfolio project guidance
- ~8 weeks access
Intermediate
Hands-On ML
฿6,300
Per course, all-inclusive
- All written lessons & materials
- Mentor feedback & code review
- Discussion sessions
- Portfolio project with mentor shaping
- ~10–12 weeks access
Advanced
AI Systems Track
฿12,500
Per track, all-inclusive
- All materials & lessons
- Regular mentorship sessions
- Detailed code review throughout
- Substantial portfolio project
- Several months, thoughtfully paced
Find Your Course
Have a Question Before Enrolling?
We're glad to talk through which course makes sense for your background and where you're hoping to go. There is no obligation in asking.
Send a Message