Synapsy
Bangkok · Thailand · Online

Learn AI Development
at a Pace That Works

Synapsy offers self-paced online courses in Python, machine learning, and deep learning — designed for learners who want to build a solid foundation in AI, step by step, without rushing.

+66 2 526 8417 [email protected] 3 structured courses
Enquire About a Course
Open notebook with neural network diagram and coffee cup
course catalogue

Three Courses, One Direction

Each course builds on the one before it. Start wherever your current knowledge sits.

Python programming foundations
8 weeks · self-paced

Python Foundations

A careful start in Python covering data types, control flow, functions, file handling, and a short introduction to data libraries. Written feedback on three submitted notebooks.

  • Recorded weekly lessons
  • End-of-week practice notebooks
  • 4–6 hours per week commitment
  • Written feedback on 3 notebooks
฿8,500 Enquire
Machine learning pathway
12 weeks · self-paced

Machine Learning Foundations

Classical ML concepts for learners who already have a Python base. Covers regression, classification, feature engineering, cross-validation, and evaluation metrics. Weekly mentor office hours included.

  • Three small portfolio projects
  • Weekly video office hours
  • 6–8 hours per week commitment
  • Requires Python foundation
฿19,500 Enquire
Deep learning project bootcamp
16 weeks · intensive

Deep Learning Bootcamp

A hands-on bootcamp covering neural network fundamentals, vision and language architectures, small model deployment, and a portfolio capstone reviewed by a three-educator panel.

  • Two mentor code reviews
  • Capstone panel presentation
  • Prior programming experience required
  • Portfolio-ready project output
฿33,800 Enquire
why Synapsy

What We Think Matters in Technical Education

Self-Paced Structure

Courses are designed around a realistic weekly hour range, not a fixed schedule. You decide when to study; the material stays available throughout your enrolment period.

Written Notebook Feedback

Submitted work receives written comments from a course educator — not automated scoring. This tends to surface small misunderstandings before they become larger gaps.

Deliberate Progression

Each course assumes and builds on the previous one. Python Foundations → ML Pathway → Deep Learning Bootcamp follows a logical sequence rather than jumping to advanced topics.

Practical Notebooks

Every week includes a hands-on notebook exercise. The goal is to read real code, run it, change something, and see what happens — not just watch video explanations.

Office Hours Access

From the ML Pathway onwards, students can attend a weekly video session with a mentor. Bring a question from the week's notebook — or just listen to how others are working through the same material.

Portfolio Work Included

The ML Pathway includes three small projects; the Deep Learning Bootcamp ends with a capstone. These are pieces you actually built — something to show and explain if that becomes useful later.

next step

Not sure which course fits where you are now?

Send us a note about your current programming background and what you are hoping to understand better. We will point you toward the course that makes sense.

Send an Enquiry +66 2 526 8417
faq

Common Questions

Do I need prior experience to take the Python Foundations course?
No prior programming experience is needed for Python Foundations. The course starts from the beginning — what a variable is, how a loop works, what a function does. The pace is described as calm: roughly four to six hours per week over eight weeks.
Can I take the Machine Learning Pathway without completing Python Foundations at Synapsy?
Yes. The ML Pathway requires a Python foundation, but that does not have to come from our course. If you have already spent time with Python and feel comfortable with functions, loops, and working with data structures, the pathway is designed to start from that point.
What does "self-paced" mean in practice?
The recorded lessons and notebooks are available from enrolment. There is no fixed time each week when you must attend. Weekly hour estimates (4–6 hours for Python, 6–8 for ML, more for the Bootcamp) give a rough sense of the work involved, but the schedule is yours to set.
How does written notebook feedback work?
For the Python Foundations course, you submit three notebooks across the eight weeks. A course educator reads through your work and writes comments — pointing out things that are working well, flagging anything that looks off, and sometimes suggesting a different approach. This is a human review, not an automated check.
What is the payment process and refund policy?
Course fees are paid in full before enrolment opens. Payment options and refund conditions are outlined in our Terms and Conditions. We are happy to clarify anything before you commit — use the contact form below or call us directly.
Is the Deep Learning Bootcamp suitable for someone who has only completed the ML Pathway?
The bootcamp asks for prior programming experience and comfort with code, which completing the ML Pathway would provide. That said, the bootcamp is described as intensive — 16 weeks with hands-on notebooks and a panel-reviewed capstone. It suits committed learners who are ready to spend meaningful time with the material each week.
How is my personal data handled?
We collect only what is needed for enrolment and course delivery: name, email address, and payment records. We do not share contact details with third parties for marketing. Full details are in our Privacy Policy.
location

Find Our Office

273 Phetchaburi Road, Thanon Phetchaburi, Ratchathewi, Bangkok 10400

contact

Get in Touch

We respond to enquiries on working days, usually within one business day.

Contact Details

telephone +66 2 526 8417
address
273 Phetchaburi Road
Thanon Phetchaburi, Ratchathewi
Bangkok 10400, Thailand
office hours

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

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