Three Tracks, Built Around Where You Are Now
From a first encounter with code to deploying your own deep learning models — each Cognivault programme is structured for a specific stage of the journey.
Back to HomeHow Every Track is Built
Regardless of level, every Cognivault course follows the same design principles: clear prerequisites, structured weeks, and project-based learning with written feedback.
Stated Prerequisites
Every track lists what you need to know before starting. No surprises on week one.
Structured Weekly Arc
Each week has a clear topic, exercises, and a defined outcome. Nothing is left vague.
Project Submissions
You build and submit real projects. Instructors review them and return written comments.
Completion & Certificate
Finish the final project, pass the review, and receive a completion certificate.
Quiet Start: AI Foundations
A calm, well-paced starter course covering programming and AI fundamentals with small guided exercises. Suited to learners who prefer an unhurried, supportive beginning. Around ten weeks at a relaxed pace, with a friendly forum.
- Python basics, data structures, and logic
- Introduction to data handling with NumPy and Pandas
- Core machine learning concepts with Scikit-learn
- Friendly cohort forum and weekly check-ins
Process
Onboarding session: set up your environment and meet your cohort
Weeks 1–5: Python, data types, and writing your first functions
Weeks 6–9: data analysis tasks and introductory ML models
Week 10: final project submission and review
Crafted Modelling Track
An intermediate track building practical modelling skills through carefully chosen projects and thoughtful code reviews. Best for those with basic programming. Fifteen weeks with live sessions and peer collaboration.
- Supervised and unsupervised learning in depth
- Feature engineering and model selection
- Introduction to neural networks with PyTorch
- Bi-weekly live sessions with code review
Process
Skills check: confirm Python level and set individual goals
Weeks 1–7: classical ML methods and hands-on project work
Weeks 8–14: deep learning foundations and deployment basics
Week 15: final project with peer and instructor review
Mastercraft AI Programme
An advanced, project-led programme covering deep learning and deployment through a substantial mentored capstone. Suited to committed learners ready for demanding, crafted study. Twenty-four weeks with one-to-one mentorship and a closing portfolio review.
- Deep learning architectures with PyTorch
- Model deployment with FastAPI and Docker
- Experiment tracking with MLflow
- Monthly 1-to-1 mentor calls and portfolio review
Process
Entry assessment and mentor pairing
Weeks 1–10: deep learning theory and applied model work
Weeks 11–20: capstone project with bi-weekly mentor check-ins
Weeks 21–24: deployment module and portfolio review session
Compare All Three Tracks
| Feature | Quiet Start | Crafted Modelling Popular | Mastercraft |
|---|---|---|---|
| Duration | ~10 weeks | 15 weeks | 24 weeks |
| Weekly time commitment | 6–8 hrs | 10–12 hrs | 15–18 hrs |
| Prior experience needed | None | Basic Python | Solid programming |
| Live sessions | |||
| 1-to-1 mentorship | |||
| Portfolio review | |||
| Deployment content | Intro only | ||
| Price (THB) | ฿3,500 | ฿14,200 | ฿35,000 |
| Best for… | Complete beginners | Developers entering ML | Engineers going deep |
Clear, Fixed Fees in Thai Baht
All materials, feedback, lab access, and completion certificate included. No extras.
Quiet Start
AI Foundations · 10 weeks
฿3,500
one-time enrolment fee
- Full course materials
- Forum access and Q&A
- Project feedback
- Completion certificate
Crafted Modelling
Intermediate · 15 weeks
฿14,200
one-time enrolment fee
- Everything in Quiet Start
- Bi-weekly live sessions
- Peer collaboration groups
- Instalment plan available
Mastercraft
Advanced · 24 weeks
฿35,000
one-time enrolment fee
- Everything in Modelling Track
- Monthly 1-to-1 mentor calls
- Portfolio review session
- Deployment module included
Instalment plans available for Crafted Modelling and Mastercraft tracks. Contact us to discuss.
Delivery Standards We Keep to
Data Privacy
Student personal data is held only for programme administration and deleted on request after completion.
Annual Curriculum Update
Content is reviewed every year to reflect current tools, libraries, and industry practices.
24-Hour Response Standard
Forum and direct messages are monitored daily. Most queries receive a substantive reply within one working day.
Published Assessment Rubrics
Every project is graded against criteria shared with learners before submission. No surprises in what's being evaluated.
Not Sure Which Track to Start With?
Send us a message with a bit about your background and what you're working towards. We'll suggest the track that makes the most sense — honestly.
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