// AI Development School · Thailand

Build Real Skills
in Applied AI

Structured tracks in deep learning, computer vision, and machine learning. Project-led, technically rigorous, and designed around how working people actually learn.

View Tracks See All Modules

+66 2 305 7194

[email protected]

Chonburi, Thailand

// Learning Tracks

Three Focused Tracks

Each track is scoped, structured, and built around hands-on project work — not passive video viewing.

Deep Learning Specialization

A focused track on neural network design, training techniques, and model tuning with applied exercises. For students who have covered the fundamentals and want depth.

Neural architecture design patterns
Training loops and hyperparameter tuning
Applied exercises with real datasets

฿4,200 Enroll

Computer Vision Intensive

A project sprint covering image data, model training, and evaluation for visual tasks. Practical and outcome-focused across a defined timeframe.

Image pipeline construction
Classification and object detection
Model evaluation and iteration

฿5,950 Enroll

Applied Machine Learning Track

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

End-to-end ML project workflow
Feature engineering and model selection
Documentation and model reporting

฿11,900 Enroll

// Why Algora

What Sets This Apart

The design philosophy here is simple — people learn AI by doing AI, not by watching others do it.

Project-First Learning

Every track is organized around building something real. Exercises connect directly to practical model tasks, not toy examples.

Modular Track Structure

Topics are organized into clear modules with defined scope. You always know where you are in the learning path and what comes next.

Technical Depth

Content goes below the surface. You'll work with actual training code, evaluate model behavior, and understand why results come out the way they do.

Flexible Pacing

Tracks are designed for people with jobs. Content is accessible on your schedule, and modules can be worked through at the pace that fits your week.

Community Access

Connect with other students working through the same material. A shared space to ask questions, share code, and discuss approaches.

Real Datasets

Each track uses datasets that reflect actual field conditions — messy, structured, and interesting enough to build models worth keeping.

// Ready to Start?

Pick a Track and Get Moving

Three structured paths, real project work, and a curriculum built around how technical people actually build proficiency. Pick the track that fits where you are right now.

Send an Enquiry Browse Tracks

+66 2 305 7194 [email protected]

// Common Questions

Frequently Asked

What level of prior knowledge do I need?

It depends on the track. The Applied Machine Learning Track works well if you already have some Python and basic statistics background. The Deep Learning Specialization assumes familiarity with ML concepts. The Computer Vision Intensive is best approached after completing one of the other two tracks or equivalent experience. Details on each track's starting point are on the Solutions page.

How is the material delivered?

All content is online and self-paced. Modules include written material, code exercises, and project tasks. There are no live sessions you must attend — you work through the material when it suits your schedule.

How long does each track take to complete?

Roughly 6–10 weeks at a pace of around 8–10 hours per week, depending on the track and your background. The Computer Vision Intensive is sprint-format and typically runs 4–6 weeks for people who commit the time. You can also spread the work out if life gets in the way.

What tools or software will I need?

Python 3.x, a working environment (local or cloud notebook), and a few open-source libraries covered in the setup guide. No paid software is required. Detailed setup instructions are provided before each track begins.

What are the payment options?

Prices are listed in Thai Baht. Payment details and accepted methods are communicated after you submit an enquiry. If you have questions about fees before that, feel free to reach us by phone or email.

Is there support if I get stuck on the material?

Students have access to the Algora community space where questions can be posted and discussed. There is also an email support channel for track-related questions. Response times are typically within 1–2 business days.

How is my personal data handled?

Information submitted through this site is used only for communication and enrollment purposes. It is not shared with unrelated third parties. Our full Privacy Policy explains exactly what is collected and how it is stored.

// Find Us

Our Location

47 Beach Road, Bang Lamung, Chonburi 20150, Thailand

// Reach Out

Start a Conversation

Send us a message about any of the tracks, or just ask a question. We'll get back to you within one business day.

Contact Details

Phone