Three Courses.
One Clear Path Through AI Development.
From writing your first Python program to designing and deploying a full AI solution — each course is a structured, mentor-supported step forward.
Back to HomepageHow We Design and Deliver Each Course
Each Khwam Khit course is built around a single guiding principle: understanding before completion. We don't measure progress by how many modules a learner has clicked through — we measure it by the quality of the work they submit and the thoughtfulness of their questions.
Topics are ordered deliberately, with a curriculum map showing how each concept connects to the next. Mentor feedback is written and specific rather than automated. Projects are scoped to be demanding enough to be worth completing, but clear enough that learners always know what a finished piece of work looks like.
The three courses form a coherent path — each one builds on the previous, and a learner who completes all three arrives with a genuine working understanding of AI development at each stage.
Structured sequence
Named mentor support
Project-based output
Flexible schedule
Beginning AI Development
A gentle introduction to programming and the ideas behind artificial intelligence. Learners write their first Python programs, explore how data shapes models, and complete small guided tasks. Suited to curious beginners who appreciate a calm pace. Includes mentor support and a short project over eight weeks.
What's covered:
- Python fundamentals — variables, functions, loops, and data structures
- How data is collected, cleaned, and prepared for modelling
- The core ideas behind supervised learning
- Small guided tasks at the end of each module
- A short final project reviewed by your mentor
How the 8 weeks unfold:
Practical Model Building
An intermediate course on creating useful machine-learning models from real data. Learners study workflows, train and assess models, and reflect on results through hands-on projects. A good fit for those comfortable with basic programming. Includes feedback sessions and a guided capstone over ten weeks.
What's covered:
- End-to-end ML workflows with real datasets
- Selecting, training, and evaluating model types
- Interpreting results and identifying limitations
- Scheduled feedback sessions with your mentor
- Guided capstone project with written assessment
How the 10 weeks unfold:
Complete AI Project Lab
An advanced lab where learners design, build, and present a full AI solution with mentor guidance. Covers deeper modelling, deployment, and careful evaluation of real-world impact. Suited to those with prior experience seeking a substantial portfolio piece, delivered across twelve weeks with regular reviews.
What's covered:
- Problem framing and solution design from scratch
- Advanced modelling, tuning, and deployment
- Evaluation for real-world impact and edge cases
- Regular mentor reviews throughout the build
- Final presentation and portfolio-ready documentation
How the 12 weeks unfold:
Which Course Is Right for You?
If you're unsure, write to us — we'll help you choose based on your current experience and goals.
| Feature | Beginning | Practical | Lab |
|---|---|---|---|
| Prior coding needed | |||
| Works with real data | — | ||
| Scheduled feedback sessions | — | ||
| Model deployment covered | — | — | |
| Full portfolio project | — | — | |
| Named mentor throughout | |||
| Price (฿) | 4,600 | 9,900 | 18,000 |
| Best for... | Curious beginners | Basic programmers | Experienced learners |
Shared Across All Three Courses
Data Privacy
Learner data is stored securely and used only for course administration. No data is shared with third parties without consent.
Quality-Checked Materials
Course content is reviewed every six months to reflect current Python practices and evolving approaches in applied machine learning.
Responsive Mentor Communication
Questions receive a mentor response within two working days. Submitted work receives written feedback, not automated scoring.
Completion Certificate
A certificate is issued on verified completion of all required tasks and the final project, noting course name, duration, and date.
Seven-Day Review Period
Learners can contact us within the first seven days of course access to discuss their options if the course is not the right fit.
English Language Instruction
All materials, sessions, and feedback are in English, preparing learners for the global AI field while remaining accessible to Thai learners.
Clear Fees, No Add-Ons
Every fee below includes your named mentor, course materials, project review, and completion certificate. Nothing is sold separately.
Beginning AI Development
8 weeks · one payment
- Python fundamentals
- Data and model basics
- Named mentor
- Short guided project
- Completion certificate
Practical Model Building
10 weeks · one payment
- Real-data ML workflows
- Model training and evaluation
- Named mentor + feedback sessions
- Guided capstone project
- Completion certificate
Complete AI Project Lab
12 weeks · one payment
- Full AI solution build
- Deployment and evaluation
- Regular mentor reviews
- Portfolio-ready documentation
- Completion certificate
Ready to Choose Your Starting Point?
Contact us to discuss which course fits your current level. We'll help you decide and answer any questions before you commit.
Get in Touch