Study AI Development
at Your Own Steady Pace
Tensora offers three structured courses — from foundational maths and Python through to model building and a self-directed capstone — all taught with honesty, worked examples, and mentor support.
Three Courses, One Coherent Path
Each course builds on the last. You can join at any level — just bring your curiosity and a willingness to work through the material carefully.
Maths & Code Essentials
A foundation track pairing the core mathematics behind machine learning with the Python to put it into practice, taught gently with worked examples. Built for steady beginners.
- Linear algebra and statistics fundamentals
- Python for data and basic modelling
- Worked examples throughout
Model Building Workshop
An intermediate track focused on building and tuning models through repeated, hands-on practice with real data. Covers honest evaluation and clear write-ups.
- Real datasets and hands-on projects
- Model evaluation and documentation
- Mentor-reviewed project work
Scaling & Capstone
A senior track on working with larger datasets and models responsibly, finishing with a self-directed capstone. Emphasises good engineering and documentation.
- Larger-scale data and model work
- Responsible engineering practices
- Portfolio capstone presentation
Learning That Respects Your Time
We keep things straightforward — no hype, no filler. Just clear materials, honest feedback, and space to work through ideas at a measured pace.
Structured Progression
Courses are ordered deliberately. Each one prepares you for the next, so there are no confusing gaps to navigate alone.
Mentor Feedback
Project work is reviewed by course mentors, not just automated graders. You receive comments that actually help you improve.
Real Data Practice
From Course 02 onwards, you work with actual datasets rather than cleaned toy examples, so the skills transfer to real situations.
Self-Paced Study
No fixed lecture times. You study on your own schedule, with deadlines spaced far enough apart to allow thorough work.
Portfolio Output
By the end of the programme, you have a documented capstone project you can share with potential collaborators or employers.
Responsible Focus
We address model limitations, data ethics, and documentation from the start — not as an afterthought at the end of the curriculum.
Pick a Starting Point and Work Through It
Whether you are entirely new to the field or looking to deepen existing knowledge, there is a course here that fits where you are. Send us a message and we will help you choose.
Frequently Asked
Do I need a maths background to start Course 01?
No prior maths study is expected. Course 01 introduces the necessary concepts from the ground up, with worked examples at each step. If you are comfortable with basic arithmetic and can read simple equations, you have enough to begin.
Can I join at Course 02 or 03 without doing Course 01?
Yes, if you already have a working knowledge of Python and the relevant maths. We suggest reviewing the Course 01 syllabus first to check for gaps. If you are unsure, contact us and we can talk through your background.
How much time per week does each course require?
Most learners spend roughly 8–12 hours per week on readings, exercises, and project work. The pace is self-directed, so you can adjust within the course's overall timeline. Courses are designed to fit alongside part-time or full-time schedules.
What are the prices for each course?
Course 01 (Maths & Code Essentials) is ฿3,400. Course 02 (Model Building Workshop) is ฿6,500. Course 03 (Scaling & Capstone) is ฿10,900. Prices are in Thai Baht and include all course materials and mentor reviews.
Is instruction in English or Thai?
All course materials are written in English. Mentor feedback and support communications are also conducted in English, though our team is familiar with supporting learners based in Thailand.
What software or hardware do I need?
A laptop with a modern browser is sufficient for Course 01 and most of Course 02. Cloud-based environments are used for heavier computation in Course 03, so local hardware limits are rarely a concern. We provide setup guides at enrolment.
How does mentor review work?
You submit project work through the course platform. A course mentor reads it and returns written comments, typically within five working days. Reviews focus on both the technical approach and how clearly you explain your thinking.
Is there a refund or cancellation option?
We accept cancellation requests within 7 days of enrolment, provided no more than 20% of the course content has been accessed. After that period, the course fee is non-refundable. Full details are in our Terms & Conditions.
Our Location
88 Beach Road, Nong Prue, Chonburi 20150, Thailand
Get in Touch
Have a question about a course or want to talk through which level suits you? We are happy to help.
Contact Details
Phone
+66 2 704 3851Address
88 Beach Road, Nong Prue
Chonburi 20150, Thailand
Support Hours
Mon–Fri: 09:00–18:00 (ICT)
Sat: 10:00–14:00
Send a Message
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