// Our Courses
Three tracks.
One thoughtful school.
Each course at Samong Code is built around a specific area of AI development, with clear prerequisites, a project-based structure, and a mentor who reads your work personally.
← Back to Home// How We Teach
Our methodology, in plain terms.
All three courses follow the same underlying structure, with the depth and scope varying to match the subject and learner level.
1. Read the concept
Each module introduces an idea through written explanation paired with a working code example.
2. Work the exercise
You apply the concept to a related problem — similar enough to be guided, different enough to require thought.
3. Submit your work
You send your solution through the course platform. Your mentor reviews it within two working days.
4. Act on feedback
Your mentor's comments point to specific parts of your work. You revise, ask questions, and move forward.
// Course 01
Data Foundations for AI
A careful introduction to working with data — collection, cleaning, exploration, and honest interpretation — as the groundwork for any AI work. This course does not skip over the difficult parts of data work. It covers the questions practitioners actually spend their time on: how to understand what a dataset contains, how to identify problems before modelling, and how to present findings without overstating what the data supports.
Duration
~7 weeks, part-time
Level
Basic Python familiarity
Pace
8–10 hrs / week
Price
฿4,400
What you will work on
- Collecting and structuring raw data from common sources
- Identifying and handling missing values, duplicates, and outliers
- Exploratory analysis using Python (pandas, matplotlib)
- Communicating findings accurately and without overreach
- End-of-course project with full mentor review
// Course 02
Computer Vision Essentials
A practical course on how machines interpret images, from basic techniques to modern models, explained step by step. This course works through image classification, object detection, and the reasoning behind convolutional neural networks — not as abstract theory, but as techniques you implement and test on real image datasets throughout the course.
Duration
~9 weeks, part-time
Level
Python + core ML concepts
Pace
8–12 hrs / week
Price
฿11,000
What you will work on
- Image preprocessing and feature extraction
- Building and training CNNs with PyTorch
- Object detection using transfer learning techniques
- Evaluating model performance on real-world image sets
- Two hands-on projects with mentor code review
// Course 03
Most comprehensiveAI Engineering Mentorship
An extended, mentor-led track focused on building and refining AI systems with sound engineering practice. This is not a series of isolated exercises — it is a guided process of building an AI system from specification through to a working, documented implementation, with a mentor involved at every stage. The track suits people who want to deepen their engineering practice, not just their academic knowledge.
Duration
~4 months, part-time
Level
Prior ML project experience
Pace
10–12 hrs / week
Price
฿17,500
What you will work on
- Designing AI systems from requirements to architecture
- One-to-one mentoring sessions with your assigned mentor
- Structured code reviews with written commentary
- Engineering standards: testing, documentation, reproducibility
- Portfolio piece — a finished, documented AI project
// Choose the Right Fit
How the three courses compare.
If you are unsure which track suits you, this table helps — and you can always write to us for advice.
| Feature | Data Foundations | Computer Vision | AI Engineering |
|---|---|---|---|
| Duration | ~7 weeks | ~9 weeks | ~4 months |
| Price (฿) | 4,400 | 11,000 | 17,500 |
| Mentor review of exercises | |||
| One-to-one mentor sessions | |||
| Portfolio project | |||
| Code reviews | |||
| Completion certificate | |||
| Best for… | Data newcomers with Python basics | ML practitioners moving into vision | Engineers building AI systems |
Not sure which suits you? Write to us and we will give you an honest recommendation.
// Shared Across All Courses
Standards that apply to every track.
48-Hour Feedback Commitment
All submitted work receives written mentor feedback within two working days. If we cannot meet that in a given period, we notify you and adjust your timeline.
Submission Confidentiality
Your project work belongs to you. We do not share, publish, or use learner submissions for any purpose other than providing the feedback you submitted for.
Annual Curriculum Review
Course materials are reviewed at least once per year. Updates are made when the underlying practice has meaningfully changed, not just when a new tool is released.
Honest Prerequisite Checking
Before you commit, we describe clearly what each course requires. If you enquire and it becomes clear you are not yet at the right level, we tell you directly.
Transparent, Inclusive Pricing
The listed price covers everything: materials, exercises, all mentor interactions, and the certificate. Nothing is held behind a separate paywall.
Small Cohort Sizes
We limit the number of learners each mentor works with at any time. This is a deliberate choice that keeps feedback quality consistent rather than merely fast.
// Pricing
Straightforward fees in Thai Baht.
Each price includes all course materials, exercises, mentor access, and a completion certificate. Payment is due before the course starts.
Foundational
Data Foundations for AI
฿4,400
full course · all-inclusive
- ~7 weeks part-time
- Guided exercises + small project
- Mentor written feedback
- Completion certificate
Intermediate
Computer Vision Essentials
฿11,000
full course · all-inclusive
- ~9 weeks part-time
- Hands-on image projects
- Mentor code review
- Completion certificate
Advanced
Most completeAI Engineering Mentorship
฿17,500
full track · all-inclusive
- ~4 months part-time
- One-to-one mentoring sessions
- Structured code reviews
- Portfolio piece + certificate
// Enrol
Not sure which course fits? Ask us.
Describe where you are in your learning and what you are working toward. We will tell you which course makes sense, or whether to wait a little longer.
Get in Touch