MS in CS, IT or data science
Strong theory, thin engineering portfolio. This adds the applied layer that application-engineering roles screen for.
US students
For Indian students in the United States
Coursework produces grades. Hiring panels want deployed, evaluated systems you can defend. This program gives you eight reviewed projects and a production-style capstone before you enter one of the most competitive graduate markets in years.
The gap
What your degree probably is not giving you
Graduate programs in computer science and data science are good at theory. They will teach you how a transformer works, how gradient descent behaves, and how to evaluate a classifier. That knowledge is real and it is worth having.
But the roles hiring aggressively right now are LLM application and AI engineering roles, and they interview on a different axis entirely: how you design retrieval over messy documents, when an agent is worth its coordination cost, how you build an evaluation dataset that catches regressions, how you stop a model doing something expensive or unsafe, and what the whole thing costs per run.
Very few degree programs cover that ground, because it is engineering practice rather than academic content. This program covers exactly that ground, and finishes with something you can show.
What you leave with
- Eight reviewed projects on a public GitHub profile, with architecture notes written to professional standard.
- A deployed capstone — evaluated, guardrailed and observable, not a notebook.
- A resume and LinkedIn rewritten around systems and decisions.
- Mock interview experience against AI system design questions.
Who this suits
Students who get the most from it
Students entering OPT
The window is finite and competitive. Arriving with deployed systems rather than coursework changes which screens you pass.
Career switchers in the US
Already have a non-CS degree or a different professional background and need demonstrable engineering evidence.
Students targeting internships
Internship screens are portfolio-driven by necessity. A production-style capstone is disproportionately effective.
Important
What we will not do
We will not advise you on immigration. We are not attorneys and we are not your Designated School Official, and training providers who blur that line do real damage to students.
We will not describe this program as employment, CPT or OPT-qualifying work, because it is none of those things. We will not guarantee a job, an internship, a salary or a visa outcome.
What we will do is teach you to build production AI systems, review your work honestly, and prepare you for the interviews properly. That is the part we are actually qualified to do.
Before you enrol, talk to your DSO. Not because there is a problem — paid professional training is ordinary and common — but because your school should know what you are doing, and because getting status advice from the right source is a habit worth keeping.
Your metro
Where our US students are based
Questions
Questions from students
This is professional training you pay for, not employment, so it does not constitute work and does not affect F-1 status. It is also not affiliated with your university's credit programme. For anything involving CPT, OPT or your status specifically, speak to your Designated School Official — that is their job, and we cannot substitute for it.
No. It is training, not employment, and we do not employ you. Do not represent it as either. Any provider suggesting otherwise is putting your status at risk.
Usually not, and the reason is specific. Most graduate curricula teach machine learning theory — models, optimisation, architectures. Very few teach AI engineering: retrieval design, agent orchestration, evaluation harnesses, guardrails, observability and cost control. Those are what LLM application roles interview on, and they are what this program covers.
It is 15–20 hours a week, which is a genuine commitment on top of a full-time program. Many students take it in the semester before their job search or over a summer. Be realistic with admissions about your workload and they will suggest a cohort that fits.
Yes. Ask admissions for the student instalment schedule when you request the fee sheet.
Yes, and often faster. Internship screens are heavily portfolio-driven because there is little work history to assess. A deployed agent platform with an evaluation harness stands out sharply against coursework repositories.
Next cohort
Graduate with systems, not just credits.
Ask admissions about student instalments and which cohort fits your semester.
Cohort snapshot35 seats
01100 days live + self-paced15 wks
02Mentor-led weekend classes10 hrs/wk
038 guided projects + capstoneportfolio
04Interview prep & career supportongoing
Weeknight office hours · lifetime access to recordings · one accountable mentor across all 100 days