Three programmes
From working notebook to documented, deployable system
Each programme addresses a different stage of the journey — from software engineering fundamentals through production operations to system-level architecture. They can be taken in sequence or independently.
Back to HomeOur methodology
How all three programmes are structured
Recorded session
Each week opens with a recorded session covering the concept and its context. Watch it at a time that suits your schedule.
Implementation exercise
A practical exercise on a small realistic project follows each session, putting the week's ideas to work in code you write yourself.
Small-group session
Live office hours or review sessions with a small group of peers — space for genuine questions and discussion, not lecture format.
Each programme is reviewed before every cohort begins, so the tools and patterns covered are the ones practitioners are encountering in production environments now. We keep cohort sizes small on purpose: the small-group format only works if the group is actually small.
Programme 01
Software Engineering for AI
Ten weeks · Part-time · ฿4,300
A ten-week part-time course for learners who would like to develop the everyday software-engineering practices that production AI work depends on. The course covers project structure, version control, testing, dependency management, packaging, and a careful introduction to working with continuous integration. Each week pairs a recorded session with a small implementation exercise. Suited to learners with some prior programming experience who would like to take their applied work from a single notebook to a maintainable small project.
- Project structure and version control practices
- Testing patterns and dependency management
- Packaging and distribution of small projects
- Introduction to continuous integration
Weekly structure
Watch the recorded session covering the week's concept and practice
Work through the implementation exercise on your local project
Bring questions to the following week's session or post them in the cohort channel
Best for: developers, analysts, and researchers with some prior programming experience who want to make their AI work more maintainable.
Enquire About This CourseProgramme 02
MLOps and Production Track
Sixteen weeks · Part-time · ฿10,200
A sixteen-week part-time track for learners who would like a paced introduction to the practice of moving machine-learning systems from a working notebook to a calmly running production service. The track covers experiment tracking, reproducible training, model packaging, deployment patterns, observability, and the everyday work of operating a small service in a team setting. Each module pairs a live session with a small implementation exercise on a realistic small-scale project, supported by weekly small-group office hours.
- Experiment tracking and reproducible training pipelines
- Model packaging and deployment patterns
- Service observability and monitoring basics
- Everyday operations of a small ML service in a team
- Weekly small-group office hours with the instructor
Module progression
Experiment tracking, versioning, and reproducibility
Model packaging, APIs, deployment patterns, and testing in production
Observability, alerting, team operations, and a small end-to-end project
Best for: practitioners who have a working model and want to understand what's involved in running it reliably as a production service.
Enquire About This Track
Programme 03
AI Systems Architecture Programme
Six months · Part-time · ฿15,000
A six-month part-time programme for learners who would like to develop the skills required to design and document larger AI systems within a wider software estate. The programme covers system boundaries, interface design, data flows, evaluation pipelines, cost and performance considerations, and the practical work of writing a clear technical proposal. Each cohort completes an architecture portfolio piece of their own choosing, supported by weekly small-group reviews. The pace is set by the cohort's own development, and the programme is suited to learners with prior production experience.
- System boundary and interface design
- Data flow design and evaluation pipelines
- Cost and performance trade-off analysis
- Technical proposal writing
- Architecture portfolio piece of your own choosing
Programme arc
System thinking fundamentals, boundary definition, and stakeholder mapping
Data flows, evaluation pipelines, and cost-performance trade-offs
Portfolio project development, technical proposal, and cohort review
Best for: practitioners with prior production experience who make or want to make design decisions at a system level.
Enquire About This ProgrammeDecision guide
Which programme is the right fit?
| Software Engineering | MLOps Track | Architecture | |
|---|---|---|---|
| Duration | 10 weeks | 16 weeks | 6 months |
| Price (THB) | ฿4,300 | ฿10,200 | ฿15,000 |
| Prior experience needed | Some programming | Working model/script | Prior production exp. |
| Live small-group sessions | — | ||
| Portfolio project | — | — | |
| VAT invoice available |
Shared across all programmes
Professional standards we apply throughout
Data privacy
Learner data is used only to run the programme. We don't share personal information with third parties for commercial or marketing purposes.
Pre-cohort review
Content is reviewed and updated before every cohort. If tools or patterns have changed, the sessions reflect that before learners encounter them.
Responsive support
Enquiries and learner questions receive a response within one working day. The learner experience team is a named contact, not a ticketing queue.
Clear financial terms
Pricing is published before you enquire. VAT invoices are available for corporate enrolments. No subscription model; no staged unlocking of content.
Cohort feedback loop
Every cohort closes with a structured feedback session. The responses are reviewed and translated into changes before the next cohort begins.
Limited cohort size
Enrolment closes when the cohort limit is reached. This is not a nominal limit — the small-group format depends on groups being genuinely small.
Pricing
What each programme costs
Ten weeks
Software Engineering for AI
฿4,300
per enrolment, one-time
- 10 recorded sessions
- 10 implementation exercises
- Cohort channel access
- VAT invoice on request
Sixteen weeks · Popular
MLOps and Production Track
฿10,200
per enrolment, one-time
- 16 recorded sessions
- 16 implementation exercises
- Weekly small-group office hours
- Cohort channel access
- VAT invoice on request
Six months
AI Systems Architecture
฿15,000
per enrolment, one-time
- 6 months of structured modules
- Weekly small-group reviews
- Portfolio project of your choice
- Cohort channel access
- VAT invoice on request
Not sure which to choose?
Send us a note about where you are in your practice
We'll suggest the programme that fits your current situation and let you know the next available cohort date.
Get in Touch