Programmes
Three Programmes, One Connected Stack
Each Datalume programme covers a distinct layer of practical AI development. They are designed to work together and to stand alone — you choose where your current knowledge fits.
Back to HomeMethodology
How the Programmes Are Structured
Every Datalume programme is built around a cycle of structured work, submission, and mentor feedback. The learning is in the iteration — making something, receiving specific comments on what worked and what didn't, and returning to it with better understanding.
There are no passive phases. Each stage of a programme involves producing something — code, pipelines, analysis, documentation — that a mentor then reviews. This is the core of the Datalume approach and it is consistent across all three tracks.
Structured programme materials
Clear progression with defined stages and expected deliverables at each point.
Work on real data
Apply each concept to datasets that behave the way actual data does — incomplete, imperfect, requiring judgement.
Submit for mentor review
A practitioner reads your work and provides written feedback before you move to the next stage.
Revise and continue
Address the feedback, strengthen the work, and carry that understanding into the next stage.
Programme 01
Applied Machine Learning
A hands-on course where learners build and evaluate practical models on real datasets with mentor feedback. The programme moves from data preparation through model selection, training, and evaluation — with a focus on understanding each decision rather than just running the code.
- Data preparation and feature engineering with realistic datasets
- Model selection rationale and trade-off evaluation
- Metric interpretation and result communication
- One-to-one mentor sessions with written submission feedback
Duration
8–10 weeks
Format
In-person / Remote
Price
฿3,500
Programme 02
Data Engineering for AI
A practical track on collecting, cleaning, and pipelining data so it is ready for model development. Learners work with realistic, messy datasets and the kinds of pipeline tooling that show up in actual AI projects — not simplified teaching datasets that behave perfectly.
- Data collection strategies and source assessment
- Cleaning, normalisation, and handling of missing or inconsistent data
- Pipeline construction for repeatable, ML-ready data flows
- Review and feedback on pipeline design decisions
Duration
10–14 weeks
Format
In-person / Remote
Price
฿15,500
Programme 03
Most ComprehensiveCapstone Mentorship
Extended one-to-one mentoring as learners plan and deliver a substantial portfolio project. The focus is on scope definition, execution, dealing with the setbacks that come with any real project, and presenting the finished work to others. This programme is for learners who are ready to build something significant.
- Dedicated mentor for the full project duration
- Structured project scoping and milestone planning
- Regular one-to-one sessions throughout the project
- Portfolio-ready output and presentation preparation
Duration
3–5 months
Format
In-person / Remote
Price
฿26,000
Compare Programmes
Which Programme is Right for You?
Use the table below to compare what each programme covers. If you're not sure where to start, the contact form below is the easiest way to get a recommendation.
| Feature | Applied ML ฿3,500 |
Data Engineering ฿15,500 |
Capstone ฿26,000 |
|---|---|---|---|
| Mentor-reviewed submissions | |||
| Real dataset work | |||
| Model building & evaluation | |||
| Pipeline construction | |||
| One-to-one dedicated mentor | |||
| Full portfolio project output | |||
| Best for | Starting out in ML, building first models | Preparing data infrastructure for AI work | Delivering a substantial independent project |
Standards
Shared Across All Programmes
Data Privacy
All programme datasets are public or fully anonymised. Learner data and submissions are handled under Datalume's privacy policy and not shared with any third party.
Quality Assurance
Each programme stage is reviewed before learners progress. Mentors flag incomplete understanding rather than allowing it to carry forward and compound.
Learner Support
Questions can be directed to mentors throughout the programme. There is a clear path to getting help without waiting for a scheduled session.
PDPA Compliance
Datalume operates in accordance with Thailand's Personal Data Protection Act. Learner data is collected and processed with explicit consent and appropriate safeguards.
Curriculum Currency
Programme content is reviewed and updated twice yearly. Tools and methods that have become outdated in practice are replaced before new cohorts begin.
Open Tooling
Everything used in programmes is open-source. Learners keep all code they write and can continue using the same tooling after the programme ends at no cost.
Pricing
Programme Fees
Applied Machine Learning
฿3,500
per programme · one-time fee
- Programme materials and datasets
- Mentor review on submissions
- 8–10 week duration
- In-person or remote
Data Engineering for AI
฿15,500
per programme · one-time fee
- Programme materials and datasets
- Mentor review on submissions
- 10–14 week duration
- Pipeline tooling access included
Capstone Mentorship
฿26,000
per programme · one-time fee
- Dedicated mentor throughout
- One-to-one session time
- 3–5 month duration
- Portfolio project and presentation support
Next Step
Not Sure Where to Start?
Send us a message with a brief note about your background and what you're hoping to work on. We'll suggest the programme that makes the most sense for where you are.
Get a Recommendation