About us

We started because nobody reviews your code after a course ends.

Gayatri Education was founded by Gayatri in early 2025, out of a frustration she kept running into while mentoring students at DBert Incubation (Chennai). People would finish an online course, try to build something real, and then stall — not because they lacked knowledge, but because there was nobody to review their work, catch their bad assumptions, and push them toward a finished project.

The platform is built around a simple rule: every intern ships something real by the end of Month 3. Not a tutorial clone, not a notebook with five cells — a project that solves an actual problem, reviewed by mentors who've done the work themselves. The DBert Incubation Program provides the infrastructure, the mentor network, and the accountability structure. Gayatri Education is the curriculum and community layer on top of it.

How we teach

Small cohorts, real review.

Each domain runs with 8–15 interns per batch. Your mentor reads your code, leaves comments, and refuses to sign off until the project actually works. No automated grading, no checkbox rubrics.

What we optimize for

A portfolio, not a PDF.

By Month 3 you have a deployed project you can show an employer. That's the goal from Day 1 — not a completion certificate. Batch 1 shipped 18 projects across 6 domains.

Flexibility

Switch domains before you commit.

You pick a domain when you apply, but you can change it any time before your first course enrollment. No penalty, no awkward conversation. Batch 1 had 4 domain changes out of 22 interns.

Cohort timeline

Where we are now

Batch 1

July 2025

Completed

Batch 2

Jan 2026 · rolling intake

Applications open

Batch 3

July 2026 (planned)

Opening soon
Mentors

People who've done the work

Engineering

Gayatri

Founder. Previously built internal tools at a logistics startup — spent three years debugging other people's production code before starting this.

AI / ML

Venkat R.

ML engineer with a background in NLP. Reviews every ML and GenAI project end-to-end. Believes most courses stop at "accuracy on a toy dataset."

Full-stack

Deepa N.

Full-stack developer and open-source contributor. Runs the code review sessions for the full-stack and automation domains.

FAQ

Common questions

Do I need prior coding experience?

Some comfort with basic programming helps, but we've had Batch 1 interns who started from scratch. The first two weeks are designed to bring everyone to the same baseline — if you put in the hours, you'll catch up.

Is the internship paid or unpaid?

The program has a one-time activation fee (— see the payment page for the current amount). There is no monthly fee. Some interns receive performance-based stipends from partner organizations, but those are separate from enrollment.

Can I change my domain after applying?

Yes, until you enroll in your first course. After that your domain locks so your course progress and certificate remain consistent. Four Batch 1 interns switched domains before Week 3 — it's common.

What happens after the 3-month program?

Most interns continue with the project they built, either as a freelance client or as a contribution to an open-source effort. We also connect high-performing interns with hiring partners for full-time roles. No placement guarantee, but the portfolio is real.

Why is there an activation fee?

It covers the mentor review time, infrastructure costs (API credits, hosting for your deployed project), and community access (WhatsApp group, live sessions). It's not a profit center — the fee keeps the cohort size manageable.

DBert Incubation Program

Have questions before you apply?

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