Preparing the next generation for the AI age
Your Science Degree
Is Your AI Superpower
We invest in non-CS STEM graduates making the leap into AI & Machine Learning. Stipend. Mentorship. Structure. No tuition. This isn’t a bootcamp—it’s angel investing for human capital.
The Gap Nobody’s Filling
The AI industry has a talent bottleneck, but it’s not where most people think. There is no shortage of computer science graduates who can train a model on MNIST. The shortage is in people who understand real-world domains—materials science, biology, physics, chemistry, engineering—and can apply machine learning to problems that actually matter.
What You Get
This isn't a course. It's an investment in your future. Here's what comes with it.
Monthly Stipend
$200/month, paid on deliverable completion. Real money, real accountability. We invest in you so you can focus on learning.
Expert Mentorship
Bi-weekly 1:1 calls with a working AI/CS professional. Not lectures—strategic guidance, code review, and career advice.
Structured Curriculum
A curated learning path from foundations to job-readiness, designed to skip the noise and focus on what the market demands.
Portfolio Development
Guided project work that produces real, presentable portfolio pieces—not toy projects. Everything goes on GitHub.
Career Support
CV review, LinkedIn optimization, interview prep, and introductions where possible. The end goal is a job, not a certificate.
Fellow Community
Join a cohort of ambitious STEM graduates on the same journey. Peer accountability, shared resources, and a network that lasts beyond the programme.
No tuition. No income share. We invest in you.
How It Works
Every fellow starts at Tier 1. Progression is earned. Think of it like funding rounds: demonstrate traction, unlock the next stage.
Ignition
Entry tier. All fellows start here. Prove your commitment, build foundations, and demonstrate traction.
You'll learn
First ML project published to GitHub with a clear README.
Orbit
Extended on merit after Ignition review. Deepen your skills, tackle real-world problems, build your professional identity.
You'll learn
Deep learning project + domain bridge project completed and published.
Escape Velocity
Full programme. You’re building serious projects, publishing work, and preparing for the job market.
You'll learn
Capstone shipped, 5–6 portfolio projects, first job applications sent.
Who We’re Looking For
You don’t need to be exceptional. You need to be serious.
STEM Background
Non-CS STEM degree: physics, chemistry, biology, materials engineering, mathematics, or equivalent. Recent graduates preferred (0–3 years post-graduation).
Mathematical Comfort
Comfortable with linear algebra, calculus, and statistics at the undergraduate level. Doesn’t need to be exceptional—needs to not be afraid of it.
Genuine Motivation
Able to articulate why you want to transition into AI/ML, even informally. We’re looking for signal, not polish.
Full-Time Commitment
Able to commit 50 hours per week. This is a full-time undertaking, equivalent to a university course load. Not compatible with a full-time job.
Who this is NOT for
People looking for passive income, people collecting certificates, or people who aren’t willing to put in full-time effort. This programme is generous with support but demanding with expectations.
Why This, Not That
No existing programme combines all five of our properties.
Non-CS STEM focus — targeting physicists, chemists, biologists, engineers, mathematicians
Micro-stipend model — $200/month signals seriousness without requiring philanthropic-scale capital
Tiered commitment — 3 → 6 → 12 months based on performance. No other programme does this.
Global from day one — not locked to a country, university, or corporate partner
Venture framing — fellows are selected, not enrolled. The psychology is investment, not charity.
How we compare
PhD-only. Corporate. Not accessible to recent STEM grads.
PhD-only. University-partnered. Extremely competitive.
Targets experienced AI talent, not career transitions.
India-only. Social good focus.
No stipend. No financial commitment either direction.
Opposite model: fellows pay. No selectivity. Volume-based.
Only programme combining: micro-stipend + non-CS STEM focus + tiered commitment + global reach + venture framing.
What We Expect
This is a two-way investment. The programme gives a lot; it asks a lot.
50 hours/week
Of focused study and project work. This is their job for the duration of the fellowship.
Bi-weekly check-ins
With their mentor. Camera on. Prepared. Non-negotiable.
Weekly async updates
“This week I learned X, built Y, got stuck on Z.” The habit of communicating progress is itself a professional skill.
Monthly deliverables
Each month has a defined output: code, a project, a write-up. Stipend is tied to delivery.
Public work
Everything goes on GitHub. The portfolio is the product. If it’s not on GitHub, it didn’t happen.
Honesty
If you’re lost, say so. If life gets in the way, say so. The worst outcome isn’t struggling—it’s struggling silently.
Fellow Stories
We're building the first cohort now. Their stories will live here.
Be among the first fellows
The inaugural cohort is forming now. Apply to be one of the first people to make the STEM-to-AI transition through this programme. Your story starts here.
Frequently Asked Questions
Everything you need to know before applying.
Ready to Make the Leap?
Your science degree is already your foundation. Let us help you build on it.