AI Programs for College Students

What you get out of this

A portfolio of working AI systems and the ability to explain every decision inside them. Most graduates arrive able to call an API. You will leave able to design an agent, prove it works with an evaluation harness, deploy it with tracing, and explain what broke and why.

Do you need prior AI experience?

No, but you need to be able to program. If you write Python confidently and understand Git and REST APIs, start with LLM Engineering or the agentic track. If you are still building that base, start with Python for AI Engineering — six weeks, no prerequisites beyond a programming course.

How the path works

1. Foundations — Python for AI Engineering, then Data & ML Foundations. Ten to twelve weeks.
2. Core — LLM Engineering & RAG, then Agentic AI Engineering. This is where the portfolio gets built.
3. Capstone + Internship Track — eight weeks building against a real brief, assessed by a technical panel.

You can enter at any stage. We will tell you honestly which one fits after a short conversation.

What about placement?

We provide portfolio review, interview preparation, and introductions where there is a genuine fit. We do not guarantee placement, and no institute honestly can. The artifacts do the work — which is why the capstone is assessed by a panel rather than auto-graded.

Fees and scholarships

TODO — fee structure, EMI options and scholarship criteria to be published. Until then, register your interest and we will send the full breakdown before you commit to anything.

How to apply

1. Register your interest and tell us your background.
2. Short conversation — we confirm which entry point fits.
3. A small technical task, so nobody is placed in a cohort they will struggle in.
4. Confirm your seat when dates are announced.