Course Tracks
Three tracks, one progression
Start from the beginning or join the track that matches your current level. Each one is a complete learning arc with exercises, projects, and mentor feedback.
Back to HomeMethodology
How the tracks are structured
Each track follows the same pattern: short concept modules followed by hands-on exercises, then a project where you apply what you have learned. Tracks 02 and 03 also include written mentor feedback on project submissions.
Read & Try
Short modules introduce a concept, then ask you to apply it immediately in an exercise. Confusion surfaces early, when it is easiest to address.
Build a Project
Each track ends in a project that pulls together what you practised. Projects are submitted and reviewed rather than auto-graded.
Receive Feedback
A course mentor reviews your project and writes specific observations. You can revise based on feedback before the track is considered complete.
Working with Language Models
A beginner-friendly track on how language models work and how to design clear, effective instructions for them, with hands-on exercises. Approachable for newcomers with curiosity. Learners finish able to build a simple text-based application.
- Understand how language models process instructions
- Write clear, structured prompts for different tasks
- Identify common failure modes and how to address them
- Build a simple text-based application as your final project
What the track covers
- 1How language models receive and process input text
- 2Structuring instructions: role, context, format, constraints
- 3Iterating on prompts when output does not match intent
- 4Final project: a working text-based application with documentation
Building AI-Assisted Apps
An intermediate track on combining models with code to build useful, well-behaved applications, covering testing and sensible limits. Project-led with mentor feedback. Learners complete several working builds.
- Connect a language model to a code-based application
- Test AI behaviour under different inputs and edge cases
- Set sensible operating limits for your application
- Complete multiple working builds with mentor feedback
What the track covers
- 1Integrating a language model into a simple application
- 2Designing input/output flows and handling unexpected responses
- 3Testing methodology for AI-assisted features
- 4Mini-project builds with written mentor review
Responsible AI & Capstone
A senior track on evaluation, safety considerations, and a self-directed capstone application. Emphasises careful, honest engineering and documentation. Ends with a presented project for the portfolio.
- Evaluate AI system behaviour against defined criteria
- Apply safety considerations throughout the build process
- Document an AI application honestly and thoroughly
- Present a capstone project for portfolio use
What the track covers
- 1Evaluation frameworks for AI output quality and safety
- 2Scoping and designing the capstone project
- 3Building, testing, and documenting the application
- 4Capstone presentation with mentor feedback session
Choosing a Track
Which track suits you?
| Feature | Track 01 ฿3,900 |
Track 02 ฿7,500 |
Track 03 ฿11,700 |
|---|---|---|---|
| Prior coding needed | No | Basic Python | Track 02 level |
| Hands-on exercises | |||
| Mentor-reviewed project | — | ||
| Portfolio capstone | — | — | |
| Responsibility & safety topics | Intro | Applied | |
| Estimated duration | 4–6 weeks | 6–8 weeks | 8–10 weeks |
Not sure where to start? Write to us and describe your background — we will suggest the right track.
Across All Tracks
Standards that apply throughout
Student Data Handling
Enrolment details and project files are used only for course delivery. They are not shared with outside parties for marketing or advertising.
Responsive Support
Questions about course content, enrolment, or technical setup are answered by the Promptly team. Response times during office hours are typically within one business day.
Quarterly Content Review
All track materials are reviewed every three months. Exercises that reference deprecated tools or outdated practices are updated before the next cohort.
Transparent Terms
Course scope, pricing, and refund conditions are explained clearly before enrolment. No hidden fees or automatic renewals.
Written Feedback Standard
Project feedback in Tracks 02 and 03 follows a consistent format covering what worked, what to reconsider, and specific suggestions for revision.
Accessible Online Format
Materials are accessible from a standard browser. No proprietary software downloads are required to study or submit projects.
Pricing
Enrol in a single track or all three
Working with Language Models
฿3,900
per enrolment
- Full Track 01 material access
- Hands-on exercises included
- Final project submission
- Team support via email
Building AI-Assisted Apps
฿7,500
per enrolment
- Full Track 02 material access
- Multiple project builds
- Written mentor feedback
- Team support via email
Responsible AI & Capstone
฿11,700
per enrolment
- Full Track 03 material access
- Self-directed capstone project
- Capstone presentation & feedback
- Team support via email
Questions?
Not sure which track fits?
Send a short message describing your background and what you would like to build. We will recommend the right entry point.
Write to Us