// about us
Teaching AI Development
the Way It Is Actually Done
Pim Tech was built around one conviction: that learning to work with AI tools should be structured, honest about prerequisites, and paced for people with real commitments.
Back to Home// our story
How Pim Tech Came Together
Pim Tech opened its first cohorts in 2021, growing out of a small study group that had been running informally among data analysts and software developers in Bangkok's Lat Phrao district. The people running that group had each gone through the experience of piecing together AI knowledge from scattered online materials, and they wanted to build something more deliberate.
The early courses were short and focused — a few weeks on Python data patterns, a module on working with text. Feedback from those first learners shaped the structure that Pim Tech uses now: clear prerequisites, weekly deliverables, and recorded sessions so that people working standard Bangkok office hours can still participate fully.
By 2023 the school had expanded to three connected course tracks — from Python fundamentals through to applied large language model development — and had served several hundred students across Thailand and the wider region. The school is still small by design. We do not enrol beyond what our instructors can give real attention to.
// our mission
What We Are Trying to Do
We think there is a real gap between what most online AI content covers and what someone needs to actually build things. Plenty of resources explain concepts. Fewer help you develop the habits and judgment that come from working through assignments, getting feedback, and doing it again.
Our goal is straightforward: give learners a coherent path from Python basics to applied LLM work, with enough structure that they are making consistent progress even when they are fitting study around a full work schedule.
3+
Years running
400+
Students enrolled
3
Course tracks
// the people
Our Teaching Team
Small, permanent, and involved in every cohort. We do not outsource instruction to rotating contractors.
Pimchanok Srisuk
Lead Instructor · Python & Data
Pimchanok spent seven years as a data analyst in Bangkok's finance sector before moving into education. She leads the Python bootcamp and writes the weekly assignment briefs across all three tracks.
Nattapong Wongchai
NLP Instructor
Nattapong completed his graduate work in computational linguistics at Chulalongkorn University and has been teaching the NLP course since the first Pim Tech cohort. He manages the online learner community and grades both graded projects.
Apinya Kritsanapathai
LLM Track Lead · Mentor Reviews
Apinya built and maintains the LLM Application Track curriculum. She leads the structured mentor review process for portfolio projects and has a background in software engineering with a focus on production ML systems.
// how we work
Our Standards
A few principles that shape how we build and run courses.
Honest Workload Estimates
Every course page states a realistic weekly time commitment. We update these each cohort based on what students actually report spending.
Clear Prerequisite Statements
We describe what knowledge each course expects before you start, so you are not surprised midway through week three.
Recorded Review Sessions
All review sessions are recorded and available to enrolled students. Working professionals in any time zone can revisit material as needed.
Student Data Privacy
Enrolment data and assignment submissions are handled according to our privacy policy and are not shared with third parties for commercial purposes.
Community-Based Discussion
NLP and LLM learners join an online community space where questions about assignments and projects are answered by instructors and fellow students.
Annual Curriculum Review
The AI landscape moves. We review and update course content each year, particularly the LLM track, to keep material current with widely used tools and approaches.
// what we value
Learning That Fits Real Life
Most people who come to Pim Tech are working. They have meetings, deadlines, and commutes. They are not students in the traditional sense — they are professionals who want to add a specific set of skills to what they already do. That context matters for how a course should be designed.
We do not expect learners to clear their schedules. The Python bootcamp, as one example, is designed around five to seven hours per week — spread across reading, a short exercise set, and participation in a weekly review. That is achievable for most people with a demanding job, because it is roughly equivalent to two evenings and a Saturday morning.
The NLP course and LLM track are more intensive at the project stages, and we are direct about that in the course descriptions. We think the kind of deep engagement required by a graded project is actually where a lot of the learning happens — and we would rather you know what you are getting into than be caught off guard.
We work in English. Bangkok's tech and data communities operate extensively in English, and the primary literature on machine learning and NLP is written in English. We find that working directly in the language of the field helps students engage with the source material more easily.
Pim Tech is based at 56/22 Lat Phrao Road in Chom Phon, Bangkok — a neighbourhood that has become something of a quiet hub for mid-sized tech companies and independent professionals. We are reachable by email and phone during office hours for prospective students with questions about which course to start with.
// next steps
Interested in Studying With Us?
Whether you want to understand the prerequisites for a course or talk through which track fits your background, reach out through the contact form on our home page.
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