Flagship bootcamp

AI-Native Software Engineering

A full-stack engineering bootcamp built for the AI era. You learn to design, build, test and ship real applications. Using AI tools the way senior engineers now do, not as a crutch but as a force multiplier. Online-first live cohorts you can join from anywhere, real projects, and a portfolio that gets you hired.

Duration: 20 weeks
Commitment: ~20 hrs/week · evenings + Saturdays
Format: Live online
Level: Beginner-friendly · aptitude over experience

Bootcamp

$380

Indicative · your local currency · pre-VAT-determination

Deposit $95, then monthly installments

Cohort 1 · Online

Next dates TBA

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Cohort 2 · Online

Next dates TBA

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A short application. No payment on this site.

Refund & deferral policy

What you'll learn

Programming and computational thinking from first principles. In TypeScript, Python and Java
Full-stack web development. Frontend, backend, databases, APIs
Working effectively with AI coding assistants (spec, review, verify)
Version control, testing, CI/CD and deploying to the cloud
Reading a codebase, debugging, and shipping features on a team

AI-native by default

The AI classes in this program

Every Lightspace program teaches the AI-native method. Not a bolt-on module, but a working style woven through the projects.

Spec-driven development. Driving AI coding agents with clear specs, not vibes
Context engineering. Project memory and conventions files so agents build what you intend
The agent loop: specify → generate → review → verify, on every project
AI code review discipline. Reading, testing and verifying AI-written code before it ships

The curriculum

1
Foundations
Weeks 1, 4
Computational thinking, the command line, Git, and programming fundamentals. You write code every day and learn to read it critically.
2
Building for the web
Weeks 5, 10
Frontend and backend: components, APIs, databases, auth. You build progressively larger apps and learn to structure real projects.
3
Engineering with AI
Weeks 11, 15
Testing, debugging, CI/CD. And the AI-native method: spec-driven development, context engineering, and the agent loop (specify → generate → review → verify) used the way senior engineers use it.
4
Capstone & placement
Weeks 16, 20
Ship a real capstone to production, harden it, and prepare for interviews with mock technicals and portfolio reviews.

What you leave with

A deployed, portfolio-grade application you built end to end
The engineering judgement to use AI without being fooled by it
A GitHub history and project story that survives a technical interview
Placement support and introductions to hiring partners

How you're taught

Live cohorts led by working practitioners. Not pre-recorded videos.

Live, not recorded

Real classes on a schedule, with a group that keeps you moving.

Practitioner instructors

Taught by people who build and ship software for a living.

Feedback on your work

Code review and honest feedback on real projects, every week.

Questions

Where does it take place?

Live online. You can join from anywhere in the world.

How much time does it take?

20 weeks, at roughly ~20 hrs/week · evenings + Saturdays.

What do I need to start?

Beginner-friendly · aptitude over experience.

How do payments work?

There's no payment on this website. You submit a short application; if you're accepted, our team emails you to confirm your place and arrange payment. A deposit, then monthly installments.

What language is it taught in?

All live classes and materials are in English.

Do I need a computer science degree?

No. This program is beginner-friendly and selects on aptitude, not credentials. Many learners are career switchers or self-taught.

Will you help me get a job?

You finish with a deployed portfolio project, plus placement support and introductions to hiring partners. We don't guarantee employment. Outcomes depend on your own effort alongside our teaching.

Full details in our Refund, withdrawal & deferral policy.