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Founding cohort · Admissions opening soon
ArbabLabs College of Innovation teaches software engineering, AI, data, cloud and design online — through real projects, line-by-line mentor reviews and AI-assisted practice.
Learn. Build. Innovate.
1def average_grade(scores: list[float]) -> float:2"""Mean of the scores, ignoring missing ones."""3valid = [s for s in scores if s is not None]4if not valid:5raise ValueError("no scores")6return round(sum(valid) / len(valid), 1)
Nice guard for missing scores. Could a 0 score ever be skipped by mistake here? Add a test to prove it can't.
A 15-Month, 5-Semester Full-Stack AI Engineering Program
Semester 1
Python, maths, data, SQL, FastAPI, TypeScript, React and Next.js.
Programs
Structured, mentor-supported programs that take you from fundamentals to a portfolio of shipped projects.
Learn TypeScript, React, Node.js and PostgreSQL by shipping real web applications — reviewed line by line like professional pull requests.
Go beyond prompts: build retrieval systems, tool-using agents and evaluation pipelines that make AI features dependable in production.
Learn Python from scratch and use it to automate tasks, analyse data and build small tools — with step-by-step practice and instant feedback.
Why ALCI
We designed ALCI around one question: what would actually make someone good at this job?
Every module ends with something you build and deploy. You leave with a portfolio employers can open and inspect.
Instructors are working engineers and designers, so lessons reflect how teams really build today — not how they did five years ago.
Submissions are reviewed line by line, the way a senior colleague would. Feedback is specific, actionable and kind.
An AI tutor helps you get unstuck at any hour — designed to guide your thinking, not to do the work for you.
Part-time schedules with live sessions and recorded material, so you can learn alongside work, family and other commitments.
Certificates link to the projects behind them, so anyone can verify not just that you finished, but what you built.
Faculty
Our instructors are working engineers and designers. They teach the way their teams actually build — and review your work like a senior colleague.
Faculty profiles are placeholders until our instructors are announced.
Lead Instructor, Software Engineering
Full-stack engineer who has shipped products used by millions.
Instructor, Applied AI
Machine-learning engineer focused on reliable, evaluated AI systems.
Instructor, Cloud & Security
Site reliability and security engineer.
Instructor, Product Design
Product designer bridging research, design and engineering.
AI-powered learning
ALCI uses AI where it genuinely helps learning: getting unstuck, understanding errors and practising deliberately. Human mentors still review your work.
Stuck at midnight? The tutor asks guiding questions and explains concepts in context — it's built to help you think, not to hand over answers.
When code fails, AI explains what the error means and where to look, so debugging becomes a skill you learn rather than a wall you hit.
Step-by-step coding challenges run and check your code automatically, unlocking the next step when you get it right.
Your progress shapes what you practise next, so you spend time on what you haven't mastered yet.
AI features roll out with the learning platform. Assessments are always reviewed by people, and integrity safeguards stop AI from simply giving away answers.
ALCI Tutor
Python for Data & Automation · Week 2
print line. Which block does it belong to — the loop, or the code after it?Student voices
Illustrative quotes — real student testimonials will appear after our first cohort.
“The code reviews changed how I write software. Instead of 'it works', I now ask whether it's clear, tested and easy to change.”
“I'd tried to learn Python three times from videos. Building small tools every week with someone checking my work is what finally made it stick.”
“Learning to evaluate AI features properly was the missing piece. My team now ships AI changes with numbers, not vibes.”
Events
Free online events to meet the team, try a class and explore careers in tech.
Sample events shown — confirmed dates will be announced here.
A hands-on introduction to programming with Python. Write your first working programs — no experience needed.
How teams evaluate AI features, handle failures and protect user data — with practical examples.
A friendly 48-hour online hackathon: form a team, build something useful for education, and demo it to mentors.
From the blog
Choosing a first programming language can feel paralysing. For most beginners, Python is the best place to start — here's why, and what to learn next.
Multiple-choice tests measure recognition. Jobs demand building. Here's why ALCI assesses students on real work — and how it works in practice.
AI engineering is less about training models and more about building reliable products around them. Here's what the job involves and how to prepare.
Founding students help shape how the college runs — and learn alongside the instructors building it. Create your account to hear first when enrollment opens.