Three courses. One clear path from first code to deployed AI.
Each Loomgrid programme has a defined scope, a fixed duration and a project that demonstrates what you worked through. All delivered online, all at your own pace within the course window.
Back to HomeHow Loomgrid courses are structured
Every course follows the same fundamental design — whatever the level.
Recorded lessons
Watch on your schedule. No live sessions required. Written notes accompany every lesson.
Practical exercises
Each week includes coding tasks that put the lesson content to use. Exercises are submitted for review, not auto-graded.
Mentor feedback
Submitted work receives written comments from an instructor within five business days.
Portfolio project
Each course concludes with a project that produces something concrete — included in the completion record.
Coding & AI Starter Course
This is the entry point for people who want an honest start with Python and the ideas that underpin artificial intelligence. The course moves through Python syntax, data structures, functions and basic file handling before introducing AI concepts through small, guided projects. Everything is explained from first principles — no prior coding background is assumed.
Lessons are recorded and accompanied by written notes. Each week involves a short coding exercise submitted for mentor review. The course ends with a portfolio project that demonstrates the key Python and AI concepts covered.
- Python foundations: syntax, data structures, functions
- Introduction to AI concepts through practical examples
- Mentor feedback on weekly exercises
- Completion record for portfolio
- Community access throughout
Course outline
Python setup, variables, data types and basic operations
Control flow, loops and functions
Working with data: lists, dictionaries, files
Introduction to libraries: NumPy and pandas basics
AI fundamentals through guided mini-projects; portfolio project build
Course details
Course details
Machine Learning In Practice
This intermediate track is for learners who have foundational Python and want to move into machine learning with a hands-on approach. The course uses scikit-learn and related open-source libraries to build, evaluate and adjust models. The focus is on getting things working and understanding what the results mean — not on theoretical derivations.
Learners receive code reviews on their submitted projects and take part in group discussion sessions with the cohort. The course ends with a portfolio project: a complete machine-learning pipeline built and documented by the learner.
- Supervised and unsupervised learning with scikit-learn
- Data preparation and feature engineering
- Model evaluation and iteration
- Code reviews from instructors
- Portfolio project: full ML pipeline
Course outline
Data handling: pandas, cleaning, exploration
Supervised learning: regression, classification, evaluation
Unsupervised learning and model selection
Portfolio project: end-to-end ML pipeline with documentation
Advanced AI Development
This programme is for experienced programmers who want to work at greater depth with AI — designing, training and deploying applications that use machine learning or neural networks in a real-world context. The course covers data pipeline design, model training, evaluation methodology and integration with web or application backends.
The capstone project is a complete AI application designed, built and documented by the learner under mentor guidance. Peer review sessions are built into the course structure. The programme is demanding and expects active participation throughout its sixteen-week window.
- Deep learning with PyTorch or equivalent
- Data pipeline design and evaluation frameworks
- AI application deployment and integration
- Capstone project with mentor guidance
- Peer review sessions built in
Course outline
Advanced data handling, pipelines and versioning
Neural network design and training with PyTorch
Evaluation, tuning and real-world integration patterns
Capstone AI application: design, build, document, deploy
Course details
Which course is right for you?
A side-by-side view of what's included in each programme to help you decide where to start.
| Feature | Starter | ML In Practice | Advanced AI |
|---|---|---|---|
| Prior experience needed | None | Basic Python | Strong Python + ML |
| Duration | 8 weeks | 12 weeks | 16 weeks |
| Mentor feedback | |||
| Code review | |||
| Portfolio project | |||
| Peer discussion group | |||
| Price | ฿3,800 | ฿15,000 | ฿29,500 |
| Best for… | Complete beginners with no coding background | Python users ready to build ML models | Experienced programmers wanting AI depth |
Standards across all courses
Consistent practices that apply regardless of which programme you're enrolled in.
Learner data privacy
Personal data is used only for running the course. Full details in the Privacy Policy.
Feedback within 5 business days
All submitted work receives instructor feedback within this window. Delays are communicated proactively.
Open-source tools only
Python and open-source libraries throughout. No proprietary platform required.
Regular curriculum review
Course materials are checked and updated every six months to stay current with tools and practices.
Community conduct standards
Clear guidelines for community spaces ensure all learners can participate comfortably.
Transparent course descriptions
What's listed is what's included. No hidden tiers, no add-on fees for core features.
Pricing
All fees are all-inclusive — no add-ons required to access the full course experience.
Coding & AI Starter
฿3,800
per enrolment · 8 weeks
- Recorded lessons + written notes
- Weekly exercises with feedback
- Completion record
- Community access
Machine Learning In Practice
฿15,000
per enrolment · 12 weeks
- Recorded lessons + written notes
- Code reviews from instructors
- Portfolio project: full ML pipeline
- Group discussion sessions
- Completion record
Advanced AI Development
฿29,500
per enrolment · 16 weeks
- Full course content + notes
- Mentor guidance throughout
- Capstone AI application project
- Peer review sessions
- Completion record
Not sure which course to start with?
Send us an enquiry and describe where you are with coding — we'll give you a direct recommendation with no obligation to enrol.
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