Three programmes
Find the course that fits where you are now
Each Khwamru course has a clear structure, a manageable pace, and a specific audience in mind. Browse the programmes below to find your starting point.
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Our teaching approach
Each course is built around the idea that understanding has to come before speed. Lessons are structured so that each concept is grounded before the next arrives. There are no shortcuts through foundational material because those shortcuts cost you later.
The three programmes connect logically. A learner can start at the beginning and progress through all three, or join at the stage that matches their existing skills. Mentors stay involved throughout — they read your submitted work, answer your questions, and give feedback that's written specifically for you.
Sequential structure
Lessons build on each other within and across courses
Direct feedback
Mentor responses to questions and submitted work
Hands-on practice
Real projects and code exercises in every programme
Regular updates
Curriculum reviewed and refreshed every six months
First Steps in AI
A gentle starting course covering the basics of AI and a little programming, built from small, friendly lessons. Suited to curious beginners. Runs over seven weeks at a relaxed pace. Includes recorded lessons and supportive mentor feedback.
- No prior programming or AI knowledge needed
- 7 weeks, recorded lessons, revisit anytime
- Mentor feedback on submitted exercises
- 12 months access from enrolment
Programme steps
- 1What AI is and what it isn't — clearing up common misconceptions
- 2First Python steps: running code, understanding variables and loops
- 3What data is and how AI systems learn from it
- 4Simple classification task — building and running your first model
- 5Where AI works well, where it doesn't, and why that matters
Building Models
A practical course on building and testing models with real data, focusing on careful, honest methods. Suited to learners with basic Python. Runs over eleven weeks with weekly check-ins. Includes guided projects and gentle code reviews.
- Requires basic Python — First Steps or equivalent
- 11 weeks with weekly structured check-ins
- Guided projects using real-world datasets
- Gentle code reviews with written feedback
Programme steps
- 1Data loading, cleaning, and exploration with pandas
- 2Selecting and training supervised learning models
- 3Evaluation: accuracy, confusion matrices, what the numbers mean
- 4Avoiding common mistakes: overfitting, leakage, bad baselines
- 5Final guided project: a complete model pipeline from data to results
Generative AI in Practice
A hands-on course exploring language and image models and how to use them responsibly in real projects. Suited to those ready to build small applications. Runs over fourteen weeks with milestones. Includes a capstone and thoughtful mentor guidance.
- Requires comfort with Python and basic ML concepts
- 14 weeks with defined milestones throughout
- Language and image model API integrations
- Capstone project with full mentor guidance
Programme steps
- 1How language models work: tokens, context, generation
- 2Working with LLM APIs: prompting, parameters, output handling
- 3Image generation models: how to use them, when not to
- 4Building a small application integrating generative components
- 5Capstone: a complete, responsible application with written reflection
Which one is right for you?
Course comparison
| Feature | First Steps | Building Models | Generative AI |
|---|---|---|---|
| Prior coding needed | None | Basic Python | Confident Python |
| Duration | 7 weeks | 11 weeks | 14 weeks |
| Price | ฿1,500 | ฿2,700 | ฿4,140 |
| Mentor feedback | |||
| Weekly check-ins | |||
| Capstone project | |||
| Best for | Complete beginners | Learners with Python basics | Those ready to build apps |
Not sure which applies to you? Send us a message and we'll help you decide.
Across all courses
Standards that apply to every programme
Data privacy
Personal data collected during enrolment is used only to administer the course. It is not shared with third parties for marketing.
Bi-annual review
All course content is reviewed every six months. Outdated examples, deprecated tools, or unclear explanations are updated before the next intake opens.
Response commitment
Questions receive a mentor reply within one business day. Submitted work receives written feedback within three days.
Ethics in every course
Responsible AI use is integrated into all three programmes, not treated as an optional extra. Students learn to think critically about when and how AI should be applied.
Clear enrolment terms
Fees, access duration, and what is included are stated plainly before you pay. No changes after enrolment and no hidden additions to the cost.
Participant feedback loop
All participants complete a structured course review at the end. Responses are read and factored directly into the next curriculum revision.
Course fees
Transparent pricing in Thai Baht
Step 01
First Steps in AI
฿1,500
per enrolment · 7 weeks
- Recorded lessons
- Mentor feedback
- 12 months access
Step 02
Building Models
฿2,700
per enrolment · 11 weeks
- Guided projects
- Weekly check-ins
- Code reviews
- 12 months access
Step 03
Generative AI
฿4,140
per enrolment · 14 weeks
- Capstone project
- Full mentor guidance
- Milestones structure
- 12 months access
Still weighing up where to start?
Get in touch with your current background and we'll suggest the right programme. There's no commitment in asking.
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