Synaptiq
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AI development learning environment
Bangkok · Online · AI School

Build AI systems that actually work

Structured courses in neural networks and computer vision — small cohorts, working PyTorch notebooks, and feedback from people who build real models.

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+66 95 728 1463 [email protected] Cohorts capped at 30 Full working notebooks
Courses

Three courses, one clear path

Each course is designed to stand on its own — or to stack. Start where your skills are and work forward.

Neural network fundamentals

Neural Network Fundamentals

Self-paced work through linear layers, activation functions, loss functions, training loops, and standard regularization — all in PyTorch with complete, runnable notebooks.

  • Full PyTorch notebooks included
  • Math notation at a moderate pace
  • Self-paced schedule
฿4,400 Enroll
Computer vision with open models
POPULAR

Computer Vision With Open Models

Ten weeks covering classification, detection, segmentation, and representation learning — built on top of open pretrained models, with weekly notebooks and a final written project.

  • Cohort capped at 30 students
  • Weekly evaluation exercises
  • Final project + written report
฿22,000 Enroll
Quarterly open office sessions

Quarterly Open Office Sessions

A quarterly pass for moderated sessions where you bring your own project and receive structured feedback. Each two-hour session includes a topical reading shared in advance.

  • For students with active projects
  • Structured facilitator feedback
  • Pre-session topical reading
฿12,500 / quarter Enroll
Why Synaptiq

What sets the learning apart

The courses are built around the friction points most developers actually run into — not cleaned-up theory that skips the hard parts.

Working notebooks, not slides

Every concept is demonstrated in a notebook you can run and modify. No copy-pasted fragments — full, working PyTorch code with comments.

Small, capped cohorts

The Computer Vision course runs with at most 30 students. Feedback is specific, not templated, and questions get real answers.

Projects, not exams

Evaluation is through exercises and a documented final project. You leave with something to point to — not just a certificate number.

Stackable curriculum

The fundamentals course and the vision course are designed to fit together, so prior Synaptiq students enter the vision cohort with a shared baseline.

Ongoing facilitator access

Office sessions let active students bring their own projects and get direct, structured input — not just forum posts and async replies.

Python-first, math-honest

The curriculum doesn't hide the mathematics. Notation is introduced at a pace that assumes you can write Python, not that you have a PhD.

Next Step

Ready to start working with real models?

Reach out to ask which course fits where you are now. Response time is typically within one business day.

Contact Us +66 95 728 1463

[email protected]

FAQ

Questions about the courses

What programming background do I need?
For the Neural Network Fundamentals course, you should be comfortable writing small Python programs and reading mathematical notation at a moderate level — things like summation notation and partial derivatives. You do not need a background in machine learning. For Computer Vision With Open Models, completing Fundamentals first is strongly recommended.
How do the cohort courses run?
Computer Vision With Open Models runs over ten weeks. Each week has a notebook assignment and a short evaluation exercise. The cohort is capped at 30 students. At the end you submit a final project documented as a written report. Enrollment opens before each cohort — contact us to get on the waitlist.
What are the Open Office Sessions for?
Office sessions are for students who already have a course or personal project under way and want occasional structured input from a facilitator. They are not introductory — come with a concrete question or a piece of work to discuss. Each session is two hours, runs quarterly, and includes a short topical reading shared in advance.
What is the payment currency and method?
All prices are listed in Thai Baht (฿). Payment details and available methods are provided after you submit an enrollment inquiry. Contact [email protected] for invoicing questions.
Are the courses online or in-person?
The self-paced Neural Network Fundamentals course is fully online — you work through the notebooks at your own pace. The cohort course and office sessions have a scheduled format; details on delivery mode (online or hybrid) are shared when you enroll.
How is my personal data handled?
Information submitted through this site is used only to respond to your inquiry and manage enrollment. We do not sell personal data to third parties. See our Privacy Policy for full details.
Location

Find Us in Bangkok

215 Asok Montri Road, Khlong Toei Nuea, Watthana, Bangkok 10110

Contact

Get in touch

Send an inquiry or call directly — we respond to enrollment questions within one business day.

Address
215 Asok Montri Road, Khlong Toei Nuea, Watthana, Bangkok 10110
Office Hours
Mon – Fri: 09:00 – 18:00 (ICT)
Sat: 10:00 – 14:00
Sun: Closed

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