Structured Learning,
Honestly Delivered
Krit Academy was founded in Bangkok with a straightforward idea: that learning AI development properly takes time, clear material, and a structure that respects the learner's pace.
How Krit Academy Came Together
Krit Academy grew out of a frustration that most AI courses moved too fast. Material was dense, exercises were superficial, and learners were left to fill large gaps on their own. The school was set up to address that directly: fewer topics covered at more depth, with written lessons, proper exercises, and time to work through each concept before moving on.
The name reflects the Thai concept of thorough, deliberate study — working through ideas with care rather than reaching for shortcuts. From the beginning, the focus has been on learners who want to understand the field, not just collect credentials.
The school operates from Watthana, Bangkok, serving students across Thailand and internationally. All courses are delivered in English, reflecting the language of the technical literature in AI and machine learning.
What We're Working Toward
We want learners to finish our programmes with skills that hold up in practice — not just familiarity with terminology and tools. That means covering the mathematical background, the implementation work, and the operational considerations that distinguish a person who understands AI from one who has watched it happen.
Our courses are built to be completed, not abandoned. The self-paced format exists so learners can move at a rate that allows for real engagement, not just consumption.
Instructional Team
Our team combines academic depth with applied experience in building production AI systems.
Araya Thongsuk
Lead Instructor — ML Foundations
Spent several years working on applied ML projects across fintech and logistics before moving into education. Araya wrote the Foundations course with a particular focus on making the mathematics approachable.
Prakit Wichian
Senior Instructor — Deep Learning
Prakit holds a background in computer science and has worked extensively with transformer architectures. He designed the neural networks programme around implementation of foundational research papers.
Natthida Ruengrit
Engineering Track Lead
Natthida brings experience in ML infrastructure from working with data-heavy organisations in Bangkok. The Applied AI Engineering Track is built around the practical challenges she encountered in production environments.
How We Approach Quality
These principles shape every aspect of the course materials and the learning experience.
Written-First Content
Lessons are written rather than video-based. This means content can be reviewed, referenced, and studied at whatever pace the material requires.
Applied Exercise Design
Every module includes exercises that require the learner to write and test actual code — not fill-in-the-blank notebooks, but exercises with clear technical objectives.
Data Privacy
Student information is held securely and used only for course delivery and communications. We follow responsible data handling practices aligned with Thai PDPA guidelines.
Content Maintenance
The AI field moves quickly. Courses are reviewed and updated as significant developments warrant — students enrolled in a programme have access to updated material.
Responsive Support
Students can raise questions through our support channel. We aim to respond to technical queries within one business day, and to substantive learning questions within two.
Honest Scope
We're clear about what each course does and doesn't cover. Prerequisites are stated, learning objectives are specific, and the expected time commitment is described accurately.
AI Education Grounded in the Field
Machine learning education in Thailand has expanded considerably in recent years, but much of it has followed formats built for mass reach — short videos, auto-graded quizzes, and surface-level project walkthroughs. Krit Academy takes a different view: the instructional team has worked in the field and designs material that reflects the actual work of building and deploying AI systems.
The Foundations course addresses the mathematical and conceptual background that underpins modern ML — not to make the subject harder, but because learners who understand why methods work are better placed to adapt them when circumstances change.
The Deep Learning programme and the Applied AI Engineering Track are designed for learners who already have some grounding in the field and want to develop it further. The engineering track in particular focuses on the gap between a working model and a deployable system — data quality, serving infrastructure, monitoring, and the organisational considerations that production AI work involves.
All programmes are self-paced and based in Bangkok, with support available in both English and Thai. Pricing is in Thai Baht and set to reflect the value the material provides without being out of reach for working professionals.
Have questions about a specific course?
We're happy to talk through which programme fits where you currently are and what you're working toward.
Contact Us