You don't need to quit your job. But expect 25–35 hours per week across lessons, projects, debugging, and checkpoints.
25–35 hrs/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.
The Team
Meet our instructors.
Our talented team will assist you throughout your learning journey to ensure a smooth experience.
Safa
Software Engineering Instructor
Adam
Software Engineering Instructor
Reagen
Software Engineering Instructor
Su
Teaching Assistant
12-Week Curriculum
What You Will Learn in 12 Weeks
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
Student Work
Past Student Projects
Employers don't hire certificates. They hire builders.
Watch the real applications our graduates built, presented, and
shipped to land their first tech roles.
AI-Native Approach
Use AI Like a Developer,
Not Like a Shortcut.
Inside the bootcamp, 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
What did you ask AI?
2
What did AI help with?
3
What did AI get wrong?
4
What did you verify yourself?
5
What did you change or improve?
6
Which part did you struggle to understand?
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
The outcome
Your Future with Sigmaschool
These are average monthly salaries in Malaysia. But you can do better, even without a CS degree. Salaries go even higher
when our students go on to landing jobs in their countries with stronger currencies!
RM 4,040
Junior Software Engineer
within 2 years
RM 5,100
Mid-Level Software Engineer
in 2-5 years
RM 7,720
Senior Software Engineer
in 5+ years
Community
Meet Past Batches
ALUMNI Outcomes
Success Stories from Coding Bootcamp Graduates
Student Reviews
Hundreds of students trained.
Here's what they say.
★★★★★
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."
These are the key people who deliver the coding class curriculum. They have strong expertise in the subject matter and are
passionate about teaching and mentoring.
Education Team - Teaching Assistants
They support instructors by helping students troubleshoot coding issues, understand concepts, and complete projects.
Careers Team - Placement Officers
They maintain relationships with hiring partners and assist in placing graduates in appropriate roles post-bootcamp.
Careers Team - Career Coaches
They will guide students in their job search, helping them improve their resume, prepare for interviews, and navigate job
offers.
Operations Team - Program Manager
They oversee the operations of the coding bootcamp, from scheduling classes to ensuring the smooth delivery of the program.
Operations Team - Student Success Manager
They focus on student retention and success, providing academic support and helping students overcome any hurdles they might
encounter during the program.
The ROI
The ROI of taking the AI Software Engineering Bootcamp
Statistical data from surveying our alumini.
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 Bootcamp to others.
99% of students say the content
was clear and easy to understand and follow.
9/10 of our students enjoy
the real-world projects we cover.
88% of our students learn new tech stacks
at least 3x faster after completing level 1 of the course.
Why Sigmaschool
We're Not Selling You Content.
We're Training You to Build.
Sigma School is built on one belief: the future belongs to people who can learn fast, build real things, and adapt with AI — not
people consuming endless random content. That's why 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.
Press & Features
As Featured In
Tuition
One Clear Investment.
AI-Native Software Development Bootcamp
RM15,000
Full Programme
✓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
Ready to apply?
Applications reviewed before enrollment — our team will guide you through next steps, payment options, and the upcoming
intake.
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.
No. What matters is whether you can show proof of skill through projects, GitHub, technical explanations, and interview
performance. This bootcamp is a structured alternative path into software development.
Yes, if you're serious. The bootcamp 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.
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.
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.
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.
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.
YouTube and ChatGPT give you information. This bootcamp 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.
