→ What you get
Programs that are worth your time and money
This page explains clearly what Algoworks offers, how it differs from other online options, and what students say about the experience.
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Six things that matter when choosing a course
Human feedback on your work
A course educator writes specific comments on your submitted notebooks. You receive observations about your code structure, reasoning, and areas to revisit — not just a pass/fail score.
Clear week-by-week structure
Each program has a defined outline published before enrolment. You can read what each week covers before you commit, and follow the same outline throughout the course.
Practical notebooks you keep
The hands-on exercises in every program produce notebooks in your own name. When the course ends, those files are yours — they form a practical record of what you have built.
Live mentor sessions (ML and Capstone)
The Applied ML Pathway and AI Engineering Capstone include regular video office hours with the program mentor. You can ask about your specific code, not just general theory.
Priced in Thai Baht
All programs are priced in THB. Payments are processed locally, and the price shown is what you pay — no foreign transaction fees or exchange rate uncertainty.
Realistic time commitments stated
The course pages give a per-week hour estimate. These figures have been checked against actual student experience — they reflect what the work genuinely takes, not what sounds appealing.
Expertise
Programs written by practitioners
The Algoworks curriculum was written by engineers who worked in data and machine learning roles before they moved into education. The content reflects what the field actually uses — not just what appears in academic textbooks from a few years ago.
- Curriculum reviewed and updated each year
- Python versions and libraries kept current
- Real project context, not toy examples only
Years in practice (founding team average)
8+
across data engineering, ML, and software development roles in Bangkok, Singapore, and Chiang Mai
Feedback turnaround
5
working days for written feedback on submitted notebooks, in every program
Feedback quality
Comments that help you think differently
The feedback on your submitted work is written by the instructor who knows the program. Comments address specific decisions in your code — where you chose a less efficient approach, where your logic works well, and what to revisit before the next notebook.
- Section-by-section rather than summary only
- References to specific lines or functions
- Suggestions for what to explore further
Support
Questions answered by the people who built the course
When you have a question during a program, you contact the instructor by email. Responses come from someone who knows the specific notebook you are working on, not from a support team with no technical context.
- Direct email access to program instructor
- Response within two working days
- Video office hours in ML and Capstone programs
Email response time (during program)
2
working days, direct to the instructor — not to a general support inbox
Program fees (THB, all-inclusive)
Value & pricing
Fees listed in full, no additions
The prices on each program page are the complete cost. There are no enrolment fees, no required add-ons, and no platform subscriptions. Payment plans are available for the longer programs on request.
- All materials included in the fee
- No hidden costs
- Payment plans available on request
→ Comparison
How Algoworks compares to typical online AI courses
| Feature | Typical online courses | Algoworks |
|---|---|---|
| Written feedback on submitted work | ||
| Published week-by-week curriculum before enrolment | ||
| Direct email access to program instructor | ||
| Pricing in Thai Baht (local payment) | ||
| Honest per-week time estimates | ||
| Recorded lessons (self-paced access) | ||
| Notebooks owned by student after program |
✕ = not typically included · — = varies widely · ✓ = included as standard
→ Distinctive features
What you will not find at most other schools
01Capstone panel presentation
The AI Engineering Capstone ends with a presentation to a panel of three educators. This is not a graded exam — it is a conversation about your project. The panel asks questions, you explain your choices, and you get feedback on both the technical work and how you communicated it.
02Checkpoint code reviews (Capstone)
At four points during the Capstone program, a mentor reviews your actual code repository — not just the final output. This happens at planned intervals so problems are caught early, not at the end when they are harder to address.
03Three portfolio projects (ML Pathway)
The Applied ML Pathway produces three separate project notebooks over fourteen weeks. Each addresses a different problem type. By the end, you have a small portfolio of concrete, varied work that you can show to other developers or employers.
04Bangkok time zone, Thai context
Mentor sessions are scheduled around ICT (UTC+7). The school was built for learners in Thailand and Southeast Asia. This means no 3am calls, no foreign payment friction, and examples that reflect the kind of data environments common in the region.
→ Track record
Four years of running structured programs
4
years running online programs in Thailand
340+
students who have completed at least one program
3
structured programs, revised annually
5
working days feedback turnaround, every program
Thailand EdTech Member (2022)
Algoworks joined the Thailand EdTech Consortium as a member institution in 2022, participating in curriculum exchange and digital education standards discussions.
PDPA-compliant data handling (2023)
Student data handling processes were reviewed and updated in 2023 to align with Thailand's Personal Data Protection Act requirements.
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