Three Courses, One Continuous Path
Each programme picks up where the previous one left off. You can join at the level that matches your current knowledge and move forward from there.
← Back to HomeHow Algoria Programmes Are Built
Mapped Curriculum
Before you start, you can see the full lesson map — what is covered, in what order, and how long each stage takes. No surprises mid-course.
Milestone-Gated Progress
Each stage ends with a milestone check. Moving forward means the previous material is solid — not just watched.
Quarterly Updates
Materials are reviewed and updated each quarter to reflect changes in tools, libraries, and practices — so what you learn reflects current use.
Step One: Coding for AI
A carefully sequenced starter course teaching programming basics with AI applications in mind. Every concept is introduced one clear step at a time, suited to newcomers who appreciate structure over speed. Around ten weeks at a relaxed pace, with a supportive forum throughout.
- No prior coding experience needed
- Programming foundations with AI context from lesson one
- Forum support with response within two working days
- Milestone checks to confirm understanding before progressing
- Working AI-powered script as course output
Environment setup — Python, notebooks, and version control
Core language concepts — data types, logic, loops, functions
Data handling — arrays, dataframes, and basic transformations
AI application — build and run your first AI-powered script
Modelling Practice Track
An intermediate track building practical modelling skills through staged projects and structured code reviews. Best suited to learners with a foundation in programming who are ready to work with real datasets. Fifteen weeks, with live sessions and peer feedback built into the schedule.
- Prerequisite: basic programming (Stage 1 or equivalent)
- Staged project assignments with real datasets
- Weekly live sessions with the course instructor
- Peer and instructor code review on each project
- Trained and evaluated model as course output
Data preparation — cleaning, feature engineering, splitting
Model selection — choosing and fitting the right algorithm
Evaluation — metrics, validation, and iteration
Capstone project — end-to-end modelling assignment with code review
Advanced Systems Programme
An advanced programme covering deep learning architectures and production deployment through a staged, mentored capstone. Suited to committed learners ready for demanding study and independent problem-solving. Twenty-two weeks with structured mentorship and a portfolio review at the close.
- Prerequisite: completed Stage 2 or equivalent modelling experience
- Deep learning — neural networks, transformers, CNNs
- Deployment pipelines — packaging, serving, monitoring
- Structured 1:1 mentorship throughout the capstone
- Portfolio review by a senior Algoria mentor before close
Deep learning foundations — architectures, training, regularisation
Specialisation track — NLP or computer vision, chosen by student
Deployment — containerisation, APIs, monitoring in production
Mentored capstone — portfolio-quality project with final review
Programme Comparison
| Feature | Step One ฿3,800 |
Modelling Track ฿14,500 |
Advanced ฿30,500 |
|---|---|---|---|
| Prior experience needed | None | Basic | Intermediate |
| Duration | ~10 wks | ~15 wks | ~22 wks |
| Live sessions | |||
| Code review included | |||
| 1:1 mentorship | |||
| Portfolio review | |||
| Best for… | Complete beginners who want a solid, methodical start | Learners ready to move from syntax to real models | Committed learners aiming for a portfolio and deployment experience |
Shared Across All Programmes
Student Data Privacy
Enrolment and progress data is held securely and not shared with third parties for commercial purposes. See our Privacy Policy for full details.
Quarterly Content Updates
All three programmes are reviewed quarterly. Cohorts starting after an update receive the revised materials — no outdated content.
Forum Response Standard
Questions posted in course forums receive an instructor response within two working days across all three programmes.
Published Pricing
All prices in Thai Baht. The price shown at enrolment is the price charged — no additions appear later.
Qualified Instructors
All instructors hold applied AI experience. Academic credentials alone are not sufficient for teaching at Algoria.
Clear Completion Criteria
Each programme defines upfront what completion looks like. No ambiguity about what the end of the course means.
Clear Enrolment Fees
Stage 1
Step One
฿3,800
one-time, per cohort
- ~10 weeks of content
- Forum support
- Milestone assessments
- Working script output
Stage 2
Modelling Track
฿14,500
one-time, per cohort
- ~15 weeks of content
- Live weekly sessions
- Code review & peer feedback
- Trained model output
Stage 3
Advanced Systems
฿30,500
one-time, per cohort
- ~22 weeks of content
- 1:1 mentorship
- Portfolio review
- Deployment project output
All prices in Thai Baht. PromptPay, Thai bank transfer, and major cards accepted. No recurring fees after course completion.
Not Sure Which Stage to Start At?
Send us a short note about your background and we'll suggest the right entry point — no obligation to commit.
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