Three Courses,
One Clear Path
From writing your first Python function to building a complete AI application — Codeglade's three courses take you through it in sequence, at a pace that works for you.
Back to HomeHow the Courses Are Built
Notebook Chapters
Each course is structured as a set of notebook chapters — goals, examples, exercises — so you always know what you're working on and why.
Runnable Code First
Every concept is presented through code you can run, modify, and experiment with. Theory follows practice, not the other way around.
Project at the Close
Each course finishes with a project you've built, mentor-reviewed, and can keep — not a certificate issued to your inbox.
Coding for Beginners
A gentle introduction to Python and problem-solving, with plenty of small, achievable exercises. You'll work through a guided starter project and receive friendly mentor feedback at key points along the way. Designed for those who are completely new to coding — no assumptions about prior experience.
- Python fundamentals: variables, loops, functions, and data structures
- Problem-solving approach with small, satisfying exercises at each step
- Guided starter project — built from scratch with mentor review
- Setup support for Python, VS Code, and Jupyter
Course Progression
Set up your environment — Python, editor, first script
Work through core chapters: variables, control flow, functions
Complete chapter exercises and receive mentor notes
Build and submit your starter project for final feedback
฿3,700
Practical AI with Python
A hands-on course applying Python to everyday AI tasks — data analysis, model building, and working with real datasets. You'll build practical confidence with the tools that matter, complete code review sessions with a mentor, and finish with a portfolio project that demonstrates applied skills. Best approached after the basics are in place.
- Data analysis with pandas and NumPy on real datasets
- Supervised learning with scikit-learn: regression and classification
- Code review sessions — a mentor reads and responds to your code
- Portfolio project with mentor review and written feedback
Course Progression
Data loading and exploration — reading, cleaning, summarising
Model building chapters — supervised learning, evaluation
Mid-course code review with mentor feedback
Portfolio project: apply the full pipeline to a chosen problem
฿6,900
Applied AI Project Studio
A guided studio for learners who are ready to create something end-to-end. You'll define a problem, plan an approach, build an AI application, and present it — with regular one-on-one mentor sessions and peer feedback throughout. The studio closes with a portfolio review and a formal course completion record.
- Define and scope your own AI project with mentor input
- Regular video sessions with a dedicated mentor
- Peer review sessions with other studio learners
- Portfolio review and formal completion record issued
Studio Progression
Project scoping — define the problem, data, and approach
Build phase — structured development with regular mentor sessions
Peer review — present progress, receive and give feedback
Final presentation and portfolio review with completion record
฿11,800
Which Course is Right for You?
Use this to compare and decide — or just message us and we'll help you work it out.
| Feature | Beginners | Practical AI | Project Studio |
|---|---|---|---|
| Prior coding needed | None | Basic Python | Course 2 or equiv. |
| Mentor feedback | |||
| Video mentor sessions | |||
| Portfolio project | Starter | Full portfolio piece | End-to-end AI app |
| Completion record | |||
| Price (THB) | ฿3,700 | ฿6,900 | ฿11,800 |
Not sure which course fits? Send us a message and we'll help you decide.
Standards Across All Courses
Current Tooling
All courses use Python 3.11+, Jupyter Notebooks, and current versions of pandas, NumPy, and scikit-learn. Materials are reviewed quarterly.
Written-by-Practitioners
Course notebooks are written by instructors with applied Python experience — exercises reflect real patterns, not textbook abstractions.
Learner Privacy
Submitted work and personal information are used only for course delivery and feedback — never shared with third parties for advertising.
Quarterly Content Review
Every quarter, course exercises and examples are tested on current library versions and updated where needed — no stale code examples.
Mentor Qualification
Mentors complete the course they're assigned to before they start reviewing submissions — so their feedback comes from lived experience with the material.
Feedback Within One Day
Mentor responses to submitted work are sent within one working day. Video session slots for the Project Studio are scheduled within two days of request.
Course Pricing
Coding for Beginners
฿3,700
one-time
- All course chapters
- Exercises and starter project
- Written mentor feedback
- Setup support included
Practical AI with Python
฿6,900
one-time
- All course chapters
- Data analysis and ML exercises
- Code review session
- Portfolio project and feedback
Applied AI Project Studio
฿11,800
one-time
- Full studio programme
- Regular video mentor sessions
- Peer reviews included
- Completion record issued
Not sure where to start?
Send us a message describing where you are with coding right now and we'll suggest the course that fits — honestly, without pressure to choose the most expensive option.
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