90-day intensive · Next cohort open

Become an AI-native software developer in 90 days.

AI can generate code, but companies still need people who can build real products, solve problems, and ship working software. Sigmaschool trains you to become that person.

  • 90-day intensive
  • Flexible study hours
  • Fixed weekly outcomes
  • Mentor-reviewed projects

Join 200+ developers trained. Reviewed applications only — we ensure this is the right fit before you enrol.

01

The problem

The beginner developer path
has changed.

A few years ago, learning to code meant watching tutorials and slowly building your skills. Today, that path is more dangerous.

The old way is broken

  • AI already generates code
  • Tutorial hell is more common than ever
  • Copying code you don't understand fails interviews
  • Learning randomly leads nowhere

What you actually need

  • Know what to learn and what to skip
  • Build real software — not tutorial clones
  • Debug when things break
  • Use AI without becoming dependent on it
  • Prove your skills with real projects

Most beginners don't fail because they're not smart enough. They fail because they learn randomlyand can't explain what they built.

02

The opportunity

AI doesn't replace strong builders.
It raises the standard.

AI can help you write code faster, understand errors, and build features more quickly. But it does not remove the need to understand software.

If AI gives you the wrong code

You need to know.

If your app breaks

You need to debug it.

If your database is wrong

You need to fix it.

If a real user has a problem

You need to solve it.

If you're questioned in an interview

You need to explain it.

Software fundamentals + AI-native workflows.

That is what we train you to do.

03

The programme

A 90-day intensive bootcamp
for the AI era.

Not a passive course. A structured, outcome-based programme with weekly projects, mentor feedback, live checkpoints, and job-readiness standards.

90

Days

Structured intensive from zero to job-ready.

25–35

hrs / week

Serious commitment. Flexible on when, strict on what.

4

Phases

Foundations → Full-Stack → AI Products → Job Readiness.

12

Weekly Gates

You ship a real project every single week.

By the end, you will be able to:

  • Write and understand code
  • Use AI as a developer tool, not a crutch
  • Build full-stack apps
  • Work with APIs and databases
  • Add AI-powered features
  • Debug real problems
  • Deploy your work online
  • Explain your code clearly
  • Prepare your portfolio
Apply now
04

How it works

Flexible on when you study.
Strict on what you must ship.

You don't need to quit your job. But expect 25–35 hours per week across lessons, projects, debugging, and checkpoints.

25–35hrs/wk

Expected weekly commitment

Across lessons, projects, debugging, live checkpoints, and portfolio work. Flexible on when — non-negotiable on what you ship.

Weekly missions

Fixed deadlines. Real requirements. You ship every week.

Sigmo platform

Structured lessons with progression and accountability.

Live workshops

Debugging sessions, Q&A, and live technical feedback.

Mentor feedback

Real code review on your actual projects every week.

Loom defences

You record a walkthrough explaining what you built and why.

Capstone demo

Final presentation, mock interview, and job-ready review.

05

The team

Meet our instructors.

Our talented team will guide you throughout your learning journey to ensure a smooth experience.

Safa

Safa

Software Engineering Instructor

Adam

Adam

Software Engineering Instructor

Reagen

Reagen

Software Engineering Instructor

Su

Su

Teaching Assistant

The stack you'll ship with

React
Next.js
TypeScript
Tailwind CSS
Node.js
Supabase
PostgreSQL
Anthropic
GitHub
Vercel

Modern. In production today. Updated every cohort. The same tools your future team is already using.

06

12-week curriculum

What you'll actually learn
in 12 weeks.

Four phases. One story arc. By Phase 4, you're not learning code — you're getting hired.

Phase 1 · Weeks 1–4

Foundations & Developer Thinking

Stop being scared of code. By Week 4 you'll be writing real JavaScript and reading code like a sentence.

Stack you'll use

HTML5HTML5CSS3CSS3JavaScriptJavaScriptGitHubGitHubCursorCursorVercelVercel

You will leave knowing how to:

  • AI-native developer workflow (think with Cursor, not against it)
  • JavaScript fundamentals — variables, functions, loops, debugging
  • HTML & CSS that actually looks like 2026, not 2012
  • Git, GitHub, terminal — push your first repo by Day 5
  • How to read errors instead of panicking

By the end of phase 1

Build and deploy your first interactive web project. Send the URL to your mum.

Signature project

Personal site + 3 mini interactive apps

Mentor-reviewed. Shipped to GitHub. Yours forever.

4 projects

shipped to GitHub

07

Real projects

You will build real projects,
not just watch lessons.

By the end, you have proof you can solve problems with software — not just completed lessons.

3–5

Deployed projects

1

Full-stack app

1

AI capstone

1

Portfolio site

Employers don't hire certificates. They hire builders. Watch the real applications our graduates built, presented, and shipped to land their first tech roles on our Why Us page.

08

AI-native approach

Use AI like a developer,
not like a shortcut.

Inside the Programme, AI is not banned. AI is part of the workflow.

You will use AI to:

  • Understand concepts and break down problems
  • Debug errors and generate test cases
  • Review and improve your code
  • Plan features and build faster
  • Practise technical interviews

The rule

You must explain everything you submit.

Every major project includes an AI usage reflection:

  1. 1What did you ask AI?
  2. 2What did AI help with?
  3. 3What did AI get wrong?
  4. 4What did you verify yourself?
  5. 5What did you change or improve?
  6. 6Which part did you struggle to understand?
09

How you're assessed

You do not pass
by just completing content.

Project gates and explanation-based assessment. If you cannot explain it, you have not passed it.

Deployed project link

A live, working application.

GitHub repository

Clean, documented code history.

README documentation

What it does and how it works.

Loom code walkthrough

You explain every part on video.

AI usage reflection

What you used AI for and what you verified.

Debugging notes

Problems you hit and how you solved them.

Project review outcomes:

PassedReviseRedo
10

The outcome

Your future
with Sigmaschool.

These are average monthly salaries in Malaysia. You can do better, even without a CS degree — salaries go higher when graduates land jobs in countries with stronger currencies.

RM 4,040

per month

Junior Software Engineer

within 2 years

RM 5,100

per month

Mid-Level Software Engineer

in 2-5 years

RM 7,720

per month

Senior Software Engineer

in 5+ years

11

Community

Meet past batches.

Ten cohorts shipped. Every graduating class is a generation of builders we still talk to.

Batch 1 — April 2023

Batch 1

April 2023

Batch 2 — September 2023

Batch 2

September 2023

Batch 3 — January 2024

Batch 3

January 2024

Batch 4 — May 2024

Batch 4

May 2024

Batch 5 — August 2024

Batch 5

August 2024

Batch 6 — November 2024

Batch 6

November 2024

Batch 7 — February 2025

Batch 7

February 2025

Batch 8 — May 2025

Batch 8

May 2025

Batch 9 — August 2025

Batch 9

August 2025

Batch 10 — November 2025

Batch 10

November 2025

Batch 11 — February 2026

Batch 11

February 2026

12

Is this for you?

Built for serious beginners
and career switchers.

This bootcamp is for you if:

  • You want a structured path into tech
  • You've tried learning alone but keep getting stuck
  • You can commit 25–35 hours per week
  • You want real projects, not just certificates
  • You want to become job-ready, not just course-complete

Probably not for you if:

  • You want an easy shortcut
  • You can only spare a few hours per week
  • You want AI to do the learning for you
  • You're not ready to build, debug, and explain your work
“AI makes strong learners faster. It does not replace discipline.”
13

The support

You're not expected to
figure this out alone.

An entire team is in your corner — from learning to placement.

Instructors

Education Team

Instructors

These are the key people who deliver the coding class curriculum. Strong expertise in the subject matter, passionate about teaching and mentoring.

Teaching Assistants

Education Team

Teaching Assistants

They support instructors by helping students troubleshoot coding issues, understand concepts, and complete projects.

Placement Officers

Careers Team

Placement Officers

They maintain relationships with hiring partners and assist in placing graduates in appropriate roles post-bootcamp.

Career Coaches

Careers Team

Career Coaches

They guide students in their job search, helping them improve their resume, prepare for interviews, and navigate job offers.

Programme Manager

Operations Team

Programme Manager

They oversee the operations of the programme, from scheduling classes to ensuring smooth delivery.

Student Success Manager

Operations Team

Student Success Manager

They focus on student retention and success, providing academic support and helping students overcome hurdles.

14

The ROI

The ROI of taking
the AI-Native Programme.

Statistical data from surveying our alumni.

9/10

The average rating students give for EVERY lesson.

5/5 stars

Rating by our students on Google Review.

86%

Say they'd recommend our Programme to others.

99%

Say the content was clear, easy to understand and follow.

9/10

Of our students enjoy the real-world projects we cover.

88%

Learn new tech stacks at least 3× faster after level 1.

15

Why Sigmaschool

We're not selling you content.
We're training you to build.

Sigmaschool is built on one belief: the future belongs to people who can learn fast, build real things, and adapt with AI — not consume endless random content. We focus on structure, accountability, real projects, and a clear path to job-readiness.

Structured 90-day curriculum

No guessing what to learn next. A clear path built for the AI era.

Real projects every week

You ship something every week. No lesson-only weeks.

AI-native from day one

AI is built into the workflow — not an afterthought.

Explanation-based assessment

You pass by understanding and explaining — not just submitting.

Mentor feedback

Real code review and feedback on your actual projects.

Career readiness built in

Portfolio, interviews, and job search preparation from week one.

10

Upcoming cohorts

The next 4 cohorts.

Cohorts run for 12 weeks. New batches start every 13 weeks. Reserve a seat early — past cohorts have all sold out.

Next cohort · Filling fastCohort 13

3 Aug → 23 Oct 2026

Starts Mon, 3 Aug 202612 weeks · Mon–Fri

Starts in

72

days to lock in your seat

We close enrolment 7 days before each cohort starts

Now bookingCohort 14

2 Nov 2026 → 22 Jan 2027

Starts Mon, 2 Nov 2026

163 days from today

Reserve a seat
Open soonCohort 15

1 Feb → 23 Apr 2027

Starts Mon, 1 Feb 2027

254 days from today

Reserve a seat
WaitlistCohort 16

3 May → 23 Jul 2027

Starts Mon, 3 May 2027

345 days from today

Reserve a seat

12 weeks, full-time. Mon–Fri, live online. Early-bird pricing from RM 14,997 with CELEBRATE coupon.

Compare pricing →
16

Tuition

One clear investment.

AI-Native Software Development Programme

RM 17,997

RM 22,997

Early bird · save RM 5,000Full Programme · 12 weeks

Only 8 of 20 seats left

3 Aug → 23 Oct 2026

Seats decrease weekly. The early-bird price ends when this cohort fills.

  • 12-week structured curriculum
  • Sigmo gamified learning platform
  • Live workshops and debugging checkpoints
  • Weekly mentor feedback and code review
  • AI-native workflows and development training
  • Capstone project and portfolio support
  • Mock interview preparation
  • 30-day job search plan

Enrol anytime — or book a 15-min discovery call first if you're unsure if it's the right fit.

Roles this prepares you for

  • Junior Frontend Developer
  • Junior Full-Stack Developer
  • Junior Software Developer
  • AI Application Developer
  • Implementation Engineer
  • Junior Product Engineer

0%

12-month interest-free instalment

For Malaysian banks via ezbeli + senangpay.

  • Pay in full · RM 17,997
  • Split into 3 · RM 7,199 ×3 /month
  • 12-month plan · RM 1,500 /month, 0%
17

FAQ

Common questions.

Is coding still worth learning with AI?

Yes, but the way you learn needs to change. AI can generate code, but companies still need people who can understand problems, debug errors, review AI output, and explain technical decisions. The new path is fundamentals + AI-native workflows.

Do I need a computer science degree?

No. What matters is whether you can show proof of skill through projects, GitHub, technical explanations, and interview performance. This Programme is a structured alternative path into software development.

Can I join as a complete beginner?

Yes, if you're serious. The Programme starts with fundamentals but moves quickly. You don't need prior coding experience — but you must be ready to commit serious time and effort every week.

Can I join while working full-time?

Yes, if your schedule is realistic. Expect 25–35 hours per week. Live sessions are designed for flexibility, but all students must meet the same weekly project standards and deadlines.

What if I use AI to complete my projects?

You're expected to use AI — but responsibly. Every project includes an explanation, debugging, and AI usage reflection. If you can't explain the code, you don't pass the project.

Will I get a job after the Programme?

No programme can honestly guarantee a job. What we do is help you build the technical foundation, real projects, portfolio, and interview readiness to compete seriously for junior developer and AI application roles.

What will I graduate with?

Deployed projects, GitHub repositories, a portfolio website, an AI-enabled capstone, project demo videos, a resume, LinkedIn profile, mock interview practice, and a 30-day job application plan.

What makes this different from YouTube or ChatGPT?

YouTube and ChatGPT give you information. This Programme gives you structure, accountability, feedback, projects, standards, and career preparation. Most beginners don't fail because they lack content — they fail because they don't know how to practise, debug, and become job-ready.

Ready to build?

Don't learn randomly.
Build real products.

Get job-ready in 90 days.