// tensora.school

Build AI Systems That
Actually Ship

Project-led coursework in machine learning, data engineering, and MLOps — designed for learners who want to move from reading about AI to building with it.

Explore Tracks View Curriculum

+66 81 472 6358

[email protected]

Chiang Mai, Thailand

// learning tracks

Three Focused Learning Tracks

Each track is structured as a self-contained module with real datasets, practical tooling, and documented outputs — not slides and quizzes.

Applied Machine Learning

Project-led learning where students build, evaluate and document real models on practical datasets. For learners ready to move from theory into hands-on work.

Work with real-world tabular and structured datasets
Build, tune, and document complete model pipelines
Evaluate performance with meaningful metrics

฿3,850 Enquire

Data Engineering Foundations

Coursework on pipelines, storage, and preparing data so models can be trained reliably. A practical grounding in the work that supports applied AI.

Design and implement data ingestion pipelines
Work with structured storage, batch and streaming patterns
Prepare and validate datasets for downstream training

฿6,300 Enquire

MLOps & Deployment Track

Coursework on packaging, serving and monitoring models in production-style settings. For learners who want to ship and maintain, not only train.

Package models and build serving infrastructure
Set up monitoring, logging and drift detection
Reproduce production-style deployment workflows

฿11,550 Enquire

// next step

Ready to Start Building?

Talk to us about which track suits your background. We keep cohorts small so each learner gets real feedback on their work.

Get Started

+66 81 472 6358 · [email protected]

// why tensora

What Makes the Work Here Different

The coursework is structured around output, not consumption — you build things, document them, and understand why they work.

Hands-On From Day One

Each track opens with a working environment and a real task. Theory is introduced as it becomes relevant to the work in front of you.

Stacked, Not Scattered

The three tracks build on one another — data engineering feeds into ML training, which connects into deployment. You can follow the full stack or focus on one layer.

Documented Outputs

Work is structured so you finish each module with files, notebooks, and notes that belong to you — not just a completion record.

Small Cohorts

We keep groups manageable so reviewers can engage with what each person builds. Feedback is specific to your work, not generic.

Based in Chiang Mai

A practical AI school with a physical home in northern Thailand, accessible to learners across the region who prefer in-person or hybrid participation.

Pacing That Fits Work

Tracks are structured to accommodate people with jobs. Modules are dense but time-boxed, with clear weekly scope rather than open-ended assignments.

// common questions

Questions About the Tracks

What background do I need before joining a track?

For the Applied Machine Learning track, comfort with Python and a basic understanding of statistics is helpful. For Data Engineering, familiarity with SQL and scripting works well. The MLOps track is suited to learners who have worked with at least one trained model before. Each track page lists what to expect going in.

How long does each track run?

Tracks are designed for roughly six to eight weeks of focused work, with a few hours of active engagement per week. The exact pace depends on how deep you go into each project. There is no rigid deadline — cohort check-ins keep things moving without forcing a fixed pace.

Can I take more than one track at the same time?

It is possible, but most learners find one track at a time produces better work. The tracks are dense enough that splitting attention usually means shallower engagement with both. If you have relevant experience and want to discuss a combined schedule, reach out and we can talk through what makes sense.

What is the fee and how does payment work?

The Applied Machine Learning track is ฿3,850, Data Engineering Foundations is ฿6,300, and the MLOps & Deployment Track is ฿11,550. Payment details are shared after enrollment confirmation. If you have questions about fees, send us a message via the contact form.

Is this coursework delivered online, in person, or both?

Tensora is based in Chiang Mai and supports both in-person and remote participation. Materials and project work are accessible online. In-person sessions at the Nimmanhaemin Road location are available for learners in the area.

How is my personal information handled?

Contact details collected through the inquiry form are used only to respond to your enquiry and manage enrollment. We do not share personal information with third parties for marketing. You can review our full Privacy Policy for details.

// find us

Our Location

55 Nimmanhaemin Road, Suthep, Chiang Mai 50200, Thailand

// contact

Get in Touch

Use the form to ask about a track, discuss your background, or request more detail on the curriculum.

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