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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 — with optional in-person lab days in Nairobi
Level
Beginner-friendly · aptitude over experience

Bootcamp

$1,100

Indicative · your local currency · pre-VAT-determination

Deposit $250, then monthly installments

Cohort 1 · Online

Starts 14 September 2026

Enrolling

Cohort 2 · Online

Next dates TBA

Waitlist
Apply now

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. 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. 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. 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. 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. In-person lab days at our Nairobi base are optional, not required.

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.