// course catalogue
Three Courses, One Clear Path
From your first Python script to a deployed AI system — each course is detailed, hands-on, and supported by a mentor throughout.
Back to Home// methodology
How the Courses Are Structured
Each course at Quanta is divided into weekly modules, each with a specific topic, reading material, and a practical task. The task is what distinguishes study from comprehension — you're expected to do something with the material, not just read through it.
Reviewed exercises go to a mentor, who reads your submission and writes a response. Not a score. A written paragraph or two that addresses the specific decisions you made and what to consider next. This is slower than automated grading and intentionally so.
Weekly Q&A sessions give you the opportunity to ask about anything from that week — whether it's a specific piece of code, a conceptual question, or an issue with how something worked on your machine. The sessions are recorded for those who can't attend live.
Module-based weekly structure
Each week has a clear topic, materials, and a task. You complete it within the window that suits your schedule.
Exercises reviewed by a mentor
Selected exercises are sent to a mentor who provides written feedback — not a rubric, but a real response to your specific work.
Weekly live Q&A
Scheduled sessions with a named mentor. Recordings available. You can ask anything from that week — technical, conceptual, or environmental.
Quarterly content updates
Course materials are reviewed every quarter. Outdated tools or workflows are updated before the next cohort starts.
// course 01 — beginner
Intro to AI Development
An introductory online course covering programming and data basics for machine learning, taught through small hands-on tasks. Designed for learners with some coding familiarity who haven't worked with data or ML before.
What you'll work through:
DURATION
8 weeks
PACE
Self-paced
PRICE
฿4,100
LEVEL
Beginner
// course 02 — intermediate
Machine Learning Workshop
An intermediate course on preparing data and building and evaluating models on realistic datasets. Designed for learners who have covered the basics and want to develop practical, independent ML skills.
What you'll work through:
DURATION
12 weeks
PACE
Mentor-guided
PRICE
฿16,000
LEVEL
Intermediate
// course 03 — advanced
AI Deployment Engineering Track
A comprehensive track on deploying and maintaining dependable AI systems, organised around a portfolio project. For committed learners building toward independent work with AI in production environments.
What you'll work through:
DURATION
16 weeks
PACE
Project-based
PRICE
฿34,000
LEVEL
Advanced
// which course
Choosing the Right Course
Use this to find your starting point. When in doubt, reach out — we'll discuss your background and help you decide.
| Feature | Intro ฿4,100 |
ML Workshop ฿16,000 |
Deployment ฿34,000 |
|---|---|---|---|
| Duration | 8 weeks | 12 weeks | 16 weeks |
| Prior coding needed | Light familiarity | Intro course or equivalent | ML Workshop or equivalent |
| Mentor feedback on exercises | |||
| Weekly Q&A sessions | |||
| Code review sessions | |||
| Portfolio project | |||
| Best for | Starting from scratch with AI/ML | Building practical ML skills | Working toward production systems |
// standards
What All Three Courses Share
Regardless of level, these elements are consistent across the full catalogue.
Data Security
Learner information and exercise submissions are held securely. Nothing shared beyond what's required to deliver the course.
Quarterly Reviews
All materials reviewed every quarter. Content is updated when practices change, not left to become stale over successive cohorts.
Named Instructors
Every course has a specific instructor responsible for the material and the sessions. You know who you're learning from.
Real Tools Only
No proprietary platforms or simplified stand-ins. All tools used in courses are open-source, freely available, and actually used in practice.
Clear Prerequisites
Each course states exactly what background is expected before enrolment. No surprises mid-course about knowledge you were assumed to have.
Responsive Support
Email responses within one business day during office hours. Questions submitted during active course periods receive priority handling.
// pricing
Course Fees
One-time fee per course. All materials, datasets, and mentor feedback included. No add-ons.
// Beginner
Intro to AI Dev
฿4,100
- 8 weeks, self-paced
- Starter notebooks included
- Reviewed exercises
- Weekly Q&A sessions
// Intermediate
ML Workshop
฿16,000
- 12 weeks, mentor-guided
- Real datasets included
- Written exercise feedback
- Weekly Q&A sessions
// Advanced
Deployment Track
฿34,000
- 16 weeks, project-based
- Project framework included
- Code review sessions
- Portfolio project output
// questions?
Not Sure Which Course to Start With?
Get in touch with a few words about your background and what you're hoping to build. We'll suggest the right starting point and answer any questions about the curriculum.
Get in Touch