</> Tensora
AI development workspace

// Bangkok · Thailand · Online

Learn to Build
AI Systems That Work

Tensora offers structured online courses in AI development — from foundational programming to applied model building and mentored capstone projects. Study at your own pace with real exercises and practitioner feedback.

Explore Courses View Curriculum
+66 2 463 9178 [email protected] 3 structured tracks Hands-on projects

// curriculum

Three Study Tracks

Each track is designed to move at a deliberate pace — you build understanding before moving on, and every exercise is reviewed before the next step opens.

Foundations of AI Development
// track 01

Foundations of AI Development

Core programming for data work, machine learning fundamentals, and how models are built and evaluated. Includes a small project and community study group.

  • Structured exercises with review
  • Community study group access
  • Practical starter project
฿4,080 Enquire
Applied Model Building
// track 02

Applied Model Building

Build, train, and assess working models on real datasets with mentor feedback at each milestone. Focused on practical skills and good engineering habits.

  • Real dataset projects
  • Mentor feedback at milestones
  • Portfolio-ready project
฿6,460 Enquire
Capstone and Mentorship Track
// track 03

Capstone & Mentorship Track

Advanced topics, a substantial capstone project, and one-to-one mentorship from working practitioners over several weeks. Includes structured feedback and a final presentation.

  • One-to-one practitioner mentorship
  • Substantial capstone project
  • Structured feedback sessions
฿11,900 Enquire

// why tensora

How We Approach Learning

Notebook-Style Curriculum

Lessons are structured like worked sessions — explanation, example, practice. Each cell builds on the last, so you always know where you are and what comes next.

Reviewed Exercises

Submissions are read by a person, not just auto-graded. Feedback points out what works and what could be stronger, so you move on with a clearer picture.

Practitioner Mentors

Mentors in the Capstone track are people currently working in AI and software. Sessions stay practical and grounded in the kind of decisions that come up on real projects.

Stackable Tracks

The three tracks are designed to connect. You can start at Foundations and work forward, or join at Applied if your background suits it — the curriculum acknowledges where you come from.

Self-Paced with Structure

No fixed lecture times. You study when it fits your schedule, but milestones and check-ins keep things moving so work doesn't drift to the back of the queue.

Real Data, Real Code

Projects use datasets drawn from practical contexts. You write code that runs, not just code that illustrates a slide — and you get to see the output before calling a project done.

// next step

Ready to Start Building?

Send us a message and we'll walk you through which track fits where you are right now. No pressure, just a conversation about where you want to go.

Get in Touch +66 2 463 9178

Or email us at [email protected]

// faq

Common Questions

Do I need prior coding experience to join Foundations?
Some familiarity with programming helps, but we designed Foundations to be accessible if you understand basic concepts like variables and loops. If you're uncertain, reach out and we'll talk through your background.
How much time per week does each track require?
Foundations typically fits within 6–8 hours per week. Applied Model Building tends toward 8–10 hours given the project work. The Capstone track is more variable depending on project scope — your mentor will help you plan a realistic pace during onboarding.
Are the courses entirely online?
Yes. All materials, exercises, and feedback exchanges happen online. Mentor sessions in the Capstone track are conducted via video call. You can study from anywhere with a reliable internet connection.
What tools and languages will I be working with?
Python is the primary language across all tracks, which reflects how most practical AI and data work is done. You'll use standard data and ML libraries, and the environment setup is covered in the opening sessions of Foundations.
What is the refund or withdrawal process?
We ask that you read our Terms & Conditions before enrolling, as they set out the withdrawal and refund process in detail. If you have questions before committing, please contact us and we'll explain directly.
How is my personal data handled?
Your information is used only to manage your enrolment and communicate about your studies. We do not share it with third parties for marketing purposes. Full details are in our Privacy Policy.

// location

Find Us in Bangkok

227 Phahonyothin Road, Chatuchak, Bangkok 10900, Thailand

// contact

Send Us a Message

We're happy to answer questions about any of the tracks, discuss whether a course suits your background, or just talk through what you're hoping to learn.

Address

227 Phahonyothin Road, Chatuchak,
Bangkok 10900, Thailand

Support Hours

Monday – Friday: 09:00 – 18:00 ICT
Saturday: 10:00 – 14:00 ICT

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