Programmes
Three Programmes. One Direction.
From your first steps in programming to deploying working AI projects — Nablalab's three tracks are designed to meet you at your current level and take you somewhere meaningful.
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How All Three Programmes Work
Regardless of level, every Nablalab programme follows the same underlying pattern.
Orient
Each station begins with a clear explanation of the problem and what you'll build.
Experiment
You write code, run it, and observe what happens — deliberately, not by guessing.
Reflect
After each station you review what you learned and where the gaps are.
Build
Skills accumulated in stations come together in projects you can show and use.
Track 01 · Beginner · Self-paced
AI Fundamentals Lab Course
A welcoming online course introducing programming and AI fundamentals through guided lab-style exercises and clear lessons. Includes a learner community. Suited to beginners. An educational programme — no employment or income outcomes are implied.
- Structured lab stations — clear goal for every lesson
- Introduction to Python and core AI concepts
- Learner community access throughout
- Fully self-paced — work on your own schedule
- No prior programming knowledge required
How it progresses
Foundations — setting up your environment and understanding how programs execute
Data and patterns — working with data structures and spotting regularities
AI building blocks — training simple models and reading their outputs
Track 02 · Intermediate · Structured schedule
Reinforcement Learning Practical Track
An intermediate online track exploring practical reinforcement-learning projects, from simple environments to working agents, with mentor support. Suited to learners with Python basics. Runs on a structured multi-week schedule. Purely educational, with no promises of jobs or specific results.
- Hands-on RL projects from environment to agent
- Mentor feedback on project submissions
- Multi-week structured schedule with milestones
- Python basics required at entry
- Community access throughout
How it progresses
RL concepts — agents, environments, rewards, and policies explained clearly
Simple environments — implementing agents in Gymnasium, reading training curves
Working agents — building and evaluating an RL agent on a chosen environment
Track 03 · Advanced · Project-led
Research-to-Practice AI Programme
A comprehensive online programme guiding learners through turning AI concepts into working, deployed projects with sound engineering practice, finishing with a portfolio capstone, mentorship, and peer review. Suited to dedicated learners. Educational only, with no employment or income guarantees.
- Full AI project lifecycle — concept through deployment
- Sound engineering practice built in throughout
- Portfolio capstone project you own and can share
- 1-on-1 mentorship sessions included
- Structured peer review from cohort members
How it progresses
Research review — reading and understanding current AI papers and approaches
Implementation — translating concepts into code with engineering standards
Deployment & capstone — shipping a working project with mentor and peer review
Choose Your Path
Which Track is Right for You?
Use this comparison to match your current level and goals to the right programme.
| Feature |
฿3,500
AI Fundamentals Lab
|
฿15,500
RL Practical Track
|
฿33,500
Research-to-Practice
|
|---|---|---|---|
| Entry level | No experience needed | Python basics | Comfortable with Python |
| Pacing | Self-paced | Structured schedule | Project-led milestones |
| Learner community | |||
| Mentor feedback | |||
| 1-on-1 mentor sessions | |||
| Peer review | |||
| Portfolio capstone | |||
| Best for… | Starting from scratch | Building RL skills | Full project mastery |
Across All Tracks
Shared Standards
Data Privacy
Learner data collected for enrolment only. Never shared with advertisers.
Updated Content
Lessons reviewed and refreshed when tools or approaches become outdated.
Responsive Support
Email response within one business day during working hours (ICT).
Clear Terms
Enrolment, pricing, and refund conditions stated plainly before payment.
Pricing
Simple, One-Time Prices
All in Thai Baht. Single payment, full access, no recurring charges.
Beginner
AI Fundamentals Lab
฿3,500
One-time · Full access
- All lab stations
- Learner community
- Email support
Intermediate
RL Practical Track
฿15,500
One-time · Full access
- All lab stations
- Learner community
- Mentor feedback
- Email support
Advanced
Research-to-Practice
฿33,500
One-time · Full access
- All lab stations
- Learner community
- 1-on-1 mentor sessions
- Peer review
- Portfolio capstone
Next Step
Not Sure Which Track to Start With?
Reach out and tell us a little about where you are. We'll point you toward the track that makes the most sense for your current level.
Get in Touch