Course overview
01 — Solutions

Three Courses, One Direction

From a self-paced starter course to an eight-month studio programme — each path is designed for a different level of commitment and depth.

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02 — Approach

How Pythoria Courses Are Built

Each Pythoria course starts from what a learner actually needs to do — write functional Python, work with AI libraries, produce something that runs — and works backwards from that to determine what to teach and in what order.

Written modules explain concepts clearly before asking learners to apply them. Exercises are short enough to complete in an evening but require actual thinking rather than copy-paste. Feedback on submitted work is written by a person, not generated by a system.

Courses are not designed to maximise completion speed. They're designed so that someone who finishes them understands what they worked through and can apply it — which takes the time it takes.

Written Modules

Readable explanations before each exercise set

Exercises First

Every concept followed by a task that uses it

Human Feedback

Submitted exercises reviewed by instructors

Steady Progression

Each course builds on the previous level

03 — Course 01
RM 540

Stack Start Course

A short starter course on Python for beginners exploring AI work. Self-paced, with written modules, short video walkthroughs, and small exercises. Includes a quiet discussion thread for questions. Designed for people who want to begin working with Python without pressure or time commitments they can't meet.

What's Included

  • Written Python modules covering syntax, data types, and functions
  • Short video walkthroughs for key concepts
  • Small exercises after each module
  • Discussion thread for questions
  • No expiry — work at your own pace

Steps

  1. 01.Enrol and receive access to course materials
  2. 02.Work through written modules at your own pace
  3. 03.Complete exercises — post questions to discussion thread
  4. 04.Move on to the Cohort when ready, or stop here
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Stack Start Course

Best For

  • Complete beginners to Python
  • People with limited time who want to try before committing further
  • Learners who want to work at their own pace without scheduled sessions
04 — Course 02
Practical Stack Cohort

Best For

  • Learners who've done some Python and want to move into applied AI work
  • People who benefit from a structured schedule and live interaction
  • Working adults who can commit 6–8 hours per week for ten weeks
RM 1,540

Practical Stack Cohort

A ten-week practical cohort building small applied AI exercises with Python and standard libraries. Includes weekly live sessions, a course workbook, and written feedback on submitted exercises. Built for learners who want structure and direct contact with instructors as they work through applied material.

What's Included

  • Weekly live sessions (recorded for review)
  • Course workbook — designed to be kept and used after completion
  • Applied AI exercises using standard Python libraries
  • Written feedback on each submitted exercise
  • Discussion thread monitored by instructors

Ten-Week Structure

  1. W1–2.Python refresh and environment setup
  2. W3–5.Core AI libraries — data handling and model basics
  3. W6–8.Applied exercises — small projects with real data
  4. W9–10.Review, refinement, and final exercise submission
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05 — Course 03
RM 4,300

Full Studio Programme

An eight-month studio programme combining several school courses with monthly project work, mentor reviews, and a final portfolio. Educational in scope — not a formal qualification. Designed for learners who want to build a comprehensive understanding of Python and AI development over a sustained period, with structured support throughout.

What's Included

  • All Stack Start and Cohort course materials
  • Monthly project work with defined scope
  • Monthly mentor reviews — written and video
  • Final portfolio assembly guidance
  • Instalment payment options available

Eight-Month Arc

  1. M1–2.Foundations — Python fluency and library basics
  2. M3–4.Applied AI — first project, mentor review
  3. M5–6.Deeper projects — second project, written feedback
  4. M7–8.Portfolio assembly — final review and completion
Enquire About This Programme
Full Studio Programme

Best For

  • Learners ready for a long-form commitment
  • People who want a portfolio rather than just course completion
  • Those who want regular mentor contact over a sustained period
06 — Compare

Which Course Fits You?

Feature Stack Start Cohort ★ Studio Prog.
Price RM 540 RM 1,540 RM 4,300
Duration Self-paced 10 weeks 8 months
Live sessions
Written exercise feedback
Course workbook
Mentor reviews
Final portfolio

★ Most popular starting point for working adults

07 — Standards

Across All Courses

Data Privacy

Learner data is used only for course delivery. We don't share your information with third parties for advertising or marketing.

Material Updates

Modules are reviewed before each cohort. When Python libraries or AI tools evolve, we update examples to reflect current practice.

Response Standards

General enquiries answered within one working day. Exercise feedback delivered within two to three working days of submission.

Honest Scope

Pythoria courses are educational. We do not describe them as formal academic qualifications or make claims about employment outcomes.

Transparent Fees

All fees are in Malaysian Ringgit and published before enrolment. No upsells during the course. Instalment options available for the Studio Programme.

Direct Access

Learners contact the people who run the courses — not a generic support inbox. Questions go to instructors who can answer them.

08 — Pricing

Course Fees

01

Stack Start

RM 540

One-time fee — self-paced

  • Written modules
  • Video walkthroughs
  • Exercises & discussion thread
  • No expiry
Enquire
02 — Popular

Practical Cohort

RM 1,540

Per cohort — 10 weeks

  • Weekly live sessions (recorded)
  • Course workbook
  • Written feedback on exercises
  • Applied AI exercises
Enquire
03

Full Studio

RM 4,300

8 months — instalment options

  • All course materials
  • Monthly project work & mentor reviews
  • Final portfolio assembly
  • Instalment payment available
Enquire
09 — Enrol

Not Sure Where to Begin?

Send us a brief message about your Python background and what you're hoping to work on. We'll suggest a sensible starting point.

Send an Enquiry