Online AI Development Education — Chiang Mai, Thailand
Build AI Skills Through
Structured Project Work
Three focused programmes on deep learning, generative AI, and MLOps — each designed around hands-on exercises and real deliverables, not passive video lectures.
Our Programmes
Three Paths Through AI Development
Each programme has a clear scope and level, so you can choose the one that fits where you are right now.
Deep Learning & Neural Networks
A structured course on neural network design and training, with progressively more involved coding exercises. You work through each concept, then immediately apply it in code.
- Layer-by-layer architecture study
- Training loops from scratch
- Debugging and evaluation practice
Generative AI Project Studio
A project-based studio where learners design, build, and document a small generative application end to end. The focus is on the full build cycle, not isolated exercises.
- End-to-end application design
- Prompt engineering and fine-tuning basics
- Documentation and project handoff
MLOps & Deployment
A course on packaging, serving, and monitoring models, taught through realistic deployment exercises. You practice the infrastructure side of AI, not just the modelling.
- Model packaging and containerisation
- Serving pipelines and API design
- Monitoring and drift detection
Why Tensoria
What Makes the Difference
Project-First Structure
Every programme is organised around a concrete deliverable. Exercises build toward something you can show and discuss — not just notes to review.
Adjustable Pacing
Course schedules account for different starting points. If a concept takes longer to click, there is space to revisit it without falling behind the cohort.
Detailed Written Feedback
Submissions are reviewed with specific comments on your code and design choices — not scores or generic corrections.
Clear Progression Path
The three programmes are sequenced so you can move from foundational neural network work through to production deployment at your own pace.
Responsible AI Coverage
Each course includes discussion of data handling, model limitations, and practical ethics — topics that often get skipped in faster-paced formats.
Tools Used in Practice
You work with the libraries and platforms commonly found in professional AI workflows — so the learning transfers without a separate adjustment period.
Not Sure Which Programme Fits?
Send us a short note about where you are with AI right now. We can suggest a starting point that matches your background and what you want to build toward.
Common Questions
Frequently Asked Questions
Do I need a programming background to join?
The Deep Learning programme works well with some Python familiarity — you do not need to be an expert, but comfort writing and reading code makes the exercises more useful. The Generative AI Studio and MLOps course build on that foundation.
How are the programmes delivered?
Material is provided online, with exercises you complete at your own pace. Feedback is given in writing, and there are scheduled touchpoints through the programme for questions and discussion.
How long does each course typically take?
Deep Learning runs about 6–8 weeks at a steady pace. The Generative AI Studio is project-scoped and typically takes 8–10 weeks. MLOps & Deployment is the most involved, usually 10–12 weeks depending on how much time you set aside each week.
What tools and frameworks are covered?
Python is the main language. Deep Learning uses PyTorch for most exercises. The Generative AI Studio works with open-source model APIs and common tooling. MLOps covers Docker, basic CI pipelines, and model serving frameworks.
What is the fee and how do I pay?
Fees are ฿5,100 for Deep Learning, ฿19,000 for the Generative AI Studio, and ฿34,000 for MLOps & Deployment. Payment details are shared after an initial conversation so we can confirm the right fit first.
Is my personal data kept private?
Yes. Information you share is used only for communication and programme administration. We do not pass it on to third parties for marketing. See our Privacy Policy for full details.
Find Us
Our Location
105 Thanon Mahidol, Pa Daet, Mueang Chiang Mai, Chiang Mai 50100
Contact
Get in Touch
Use the form below or reach us directly — whichever is easier.
Contact Details
Phone
+66 53 071 5294Address
105 Thanon Mahidol, Pa Daet
Mueang Chiang Mai, Chiang Mai 50100
Thailand
Office Hours
Monday – Friday: 9:00 – 18:00 (ICT)
Saturday: 10:00 – 14:00
Sunday: Closed