// Bangkok, Thailand
Learn AI Development
At Your Own Pace
Structured online courses in Python, NLP, and LLM application building — designed for people balancing real work with serious study.
// our programmes
Courses Offered
Each course is paced around a realistic workload, with weekly assignments and recorded sessions so you can revisit material when it suits you.
Python for Data Work Bootcamp
Covers the Python language, standard data libraries, and practical patterns for working with structured data from a notebook environment. Suited for those new to programming for data work.
- Weekly small assignments
- Recorded review sessions
- No prior programming required
Natural Language Processing Course
Covers tokenization, embeddings, classical sequence models, and an introduction to transformer-based approaches. Focuses on building working models for common text tasks, not just theory.
- Two graded projects
- Online community access
- Python & ML fundamentals assumed
Large Language Model Application Track
Covers prompt design, retrieval-augmented generation, evaluation, and the engineering considerations that distinguish robust applications from early prototypes. Portfolio project included.
- Substantial portfolio project
- Structured mentor review
- Prior ML coursework assumed
// why study with us
What Makes the Difference
We build courses around how people actually learn alongside work — with clear structure, honest pacing, and instructors who teach practical skills.
Designed Around Real Schedules
Course workloads are estimated honestly — five to seven hours per week for the Python bootcamp, for example. You know what you are committing to before you start.
Structured, Not Self-Directed
Assignments arrive weekly with clear expectations. Recorded sessions mean you can review material when focus is available, not only at a fixed broadcast time.
Community and Feedback
NLP and LLM students join an online community where work in progress is discussed openly. The LLM track includes structured mentor review on the portfolio project.
A Coherent Learning Path
The three courses are designed to connect: Python fundamentals lead naturally into NLP work, which builds the foundation for the LLM application track.
Applied, Not Abstract
Every course includes work on real models and real text. The LLM track culminates in a portfolio project that reflects the kind of engineering decisions made in practice.
Honest Prerequisite Guidance
Each course states what prior knowledge it assumes. The Python bootcamp starts from the beginning; the NLP course assumes Python and ML basics. No ambiguity about where to start.
// take the next step
Ready to Begin?
Whether you are deciding which course fits your background or want to know more about how the programmes are structured, we are happy to talk it through. Reach out directly.
// common questions
Frequently Asked
Do I need prior programming experience for the Python bootcamp?
No prior programming background is assumed for the Python for Data Work Bootcamp. The course is written for learners who are new to coding or new specifically to data work in Python. If you have some Python familiarity already, you may find the early weeks move quickly.
What background does the NLP course expect?
The Natural Language Processing course assumes you are comfortable writing Python and have some machine learning fundamentals — understanding of training and evaluation, basic model concepts, and familiarity with libraries like NumPy or scikit-learn. The Python bootcamp covers what you need if you are starting fresh.
How much time should I plan to spend each week?
The Python bootcamp is designed for five to seven hours per week across ten weeks. The NLP course and LLM track are more intensive at certain points, particularly around graded projects. We try to give clear time estimates in each course outline so you can plan before committing.
Are the sessions live or recorded?
Review sessions are recorded and made available after each session runs. Weekly assignments have fixed deadlines to keep the course structured, but the reading and video content can be worked through at whatever time of day suits you.
What does the LLM track portfolio project involve?
The portfolio project in the LLM Application Track asks you to build a small but functional application that uses a large language model — with attention to prompt design, retrieval setup where relevant, and evaluation. Mentor feedback is structured across defined review points rather than delivered all at once at the end.
What is the payment process and currency?
Fees are listed in Thai Baht (฿). Payment details are provided after you submit an enrolment enquiry. Get in touch through the contact form and we will walk you through the next steps.
How is my personal data handled?
Information you share with us through the contact form is used only for course-related correspondence. We do not share personal data with third parties for marketing. Full details are in our Privacy Policy.
// find us
Our Location
56/22 Lat Phrao Road, Chom Phon, Bangkok 10900, Thailand
// reach out
Get in Touch
Questions about which course suits your background, or how a programme is structured? Send us a note and we will respond within one working day.
Contact Details
Phone
+66 76 392 8451Address
56/22 Lat Phrao Road
Chom Phon, Bangkok 10900
Thailand
Office Hours
Monday – Friday: 9:00 – 18:00
Saturday: 10:00 – 14:00
Sunday: Closed