Build real skills in Python and AI, one step at a time.
Loomgrid offers structured online courses in software and artificial-intelligence development — from a first line of code through to deploying full AI applications. No shortcuts, just honest learning.
Our Courses
Three online programmes designed to take you from no coding experience to building and deploying AI applications — at your own pace, with mentor support throughout.
Coding & AI Starter Course
Introduces Python and the core ideas of artificial intelligence through small, practical projects. Includes recorded lessons, written notes, mentor feedback and a supportive community. A completion record is provided for your portfolio.
- Practical Python foundations
- Mentor feedback on exercises
- Completion record for portfolio
Machine Learning In Practice
A focused track on building practical machine-learning projects with popular open-source libraries — including creating and testing models. Learners receive code reviews, complete a portfolio project and join group discussion sessions.
- Hands-on model building
- Code reviews from mentors
- Portfolio project included
Advanced AI Development
An advanced programme on designing, training and deploying AI applications — covering data handling, evaluation and real-world integration. Learners complete a capstone project with mentor guidance and peer support.
- End-to-end AI application design
- Capstone project with mentorship
- Real-world deployment coverage
Why Learn with Loomgrid
Each part of the learning experience is shaped around what actually helps people progress — not around what sounds appealing in marketing copy.
Structured from the ground up
Courses follow a clear sequence — concepts first, then practice. Nothing is assumed that hasn't been taught.
Mentor feedback at each stage
You submit work and receive written feedback from an instructor — not automated scoring, but considered observations on your code.
Portfolio-ready output
Each course produces something tangible — a project you built, documented and can show to others as evidence of what you studied.
Learn alongside other commitments
All content is recorded and available on your schedule. You set the pace within the course window — no fixed session times to juggle.
A working community of peers
Each cohort has a shared space for questions and discussion. Talking through a problem with someone else at the same stage is often more useful than re-reading notes.
Transparent pricing, no hidden costs
The course fee covers everything listed — lessons, notes, mentor feedback, community access and the portfolio project. No add-ons required to get the full experience.
Ready to start building?
Send us an enquiry and we'll follow up with course details, start dates and any questions you have — no pressure, just information.
Common Questions
Answers to the things people ask most often before enrolling.
Do I need any prior coding experience to join the Starter Course?
No prior experience is required for the Coding & AI Starter Course. It begins with the very basics of Python and builds from there. If you can use a web browser and follow written instructions, you have what it takes to start.
How much time should I set aside each week?
Most learners find that five to eight hours per week is enough to follow lessons, complete exercises and submit work for feedback. Some weeks may be lighter, others slightly heavier depending on the topic — we'll let you know in the course materials.
Are the lessons live or recorded?
All lessons are pre-recorded, so you can watch them when it suits your schedule. There are no mandatory live sessions. Mentor feedback and community discussion happen asynchronously throughout the course window.
What tools or software will I need?
All courses use free, open-source tools — Python, Jupyter, and relevant open-source libraries depending on the programme. Setup instructions are provided before the course starts. You don't need to purchase any software.
Is there a refund policy?
We ask that you review the course description carefully before enrolling. Refund terms are set out in our Terms & Conditions. If you have questions about a specific situation, please contact us before enrolling and we'll be straightforward with you.
How is learner data and privacy handled?
We collect only the information needed to run your course — name, contact details and course progress. We don't sell personal data to third parties. Full details are in our Privacy Policy.
Can I move from the Starter Course to Machine Learning In Practice?
Yes. The courses are designed as a progression. Completing the Starter Course gives you the Python foundations expected for Machine Learning In Practice. We recommend finishing one before starting the next, though we review each case individually.
Our Location
51 Pracha Uthit Road, Thung Khru, Bangkok 10140
Get in Touch
Send us a message with your questions or course interest and we'll respond within one business day.
Contact Details
Phone
+66 2 612 38 95Address
51 Pracha Uthit Road
Thung Khru, Bangkok 10140
Thailand
Office Hours
Monday – Friday: 9:00 – 18:00 ICT
Saturday: 10:00 – 14:00 ICT
Sunday: Closed
Send a Message
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