Most automation instructors came through QA. Vijay came through enterprise architecture and hands-on mentoring — including guiding manual testers through this exact transition. He teaches you to direct AI and own what it produces, not just follow a tutorial.
Hi, I'm Vijay. This program exists because of a pattern I kept seeing up close — capable people who'd spent years in manual QA, watching automation roles appear everywhere and feeling quietly locked out of them.
They'd tried the Udemy courses. They'd watched the YouTube tutorials. Nothing was sticking — not for any lack of intelligence or commitment, but because passive content without real feedback doesn't build skills that hold. What they needed was someone to sit alongside them, review their code, answer their actual questions, and push them past the points where most people give up.
So I did exactly that. Working closely with people in that position, I saw what worked, what didn't, and why everything they'd tried before had let them down. And when it worked — when they landed the roles they'd been working towards — two things became clear: the gap in support for people like them was real, and I was genuinely good at closing it.
It kept happening. Over the years I've helped colleagues, mentees, and people across my network make the same move, and the pattern never changed: capable people, held back by the wrong kind of support, not by any lack of ability. So I built more. Everything those one-on-one transitions taught me now lives in a structured program — the P.A.C.E.R™ method, a broader curriculum spanning Playwright, Cypress, Selenium and API testing, and a path designed to get you there faster than figuring it out alone ever could.
I didn't build this because it's a good business opportunity. I built it because I've watched it work for people I care about, and I know exactly why it works when everything else hasn't.
My professional background is in enterprise architecture and senior IT consulting — not QA. That matters, and here's why: I don't teach automation as a QA activity. I teach it as what it actually is — core software engineering, applied to quality. When you come from architecture and systems thinking, you see the problem at a different altitude. You teach people to understand what they're building, not just how to run it.
That perspective is particularly important right now. AI can generate automation scripts. What it cannot do is evaluate whether they're right, debug them when they break, or make the judgment calls that require genuine understanding of the code. I teach you to be the intelligent layer above the tool — the person who directs AI, reads its output critically, and owns the result. That's what the market is paying for, and that's where my background actually gives you an edge.
Why learn automation with me?
Because I've proven this works — with colleagues, with mentees, with people whose progress I was directly responsible for. I don't teach from a script. I build your roadmap around your specific goal, review your actual code, and stay with you until you're genuinely portfolio-ready and interview-confident. That's the standard. Not a session count.
The program is small by design — four students per group, maximum — because that's what genuine mentorship requires. I'm not here to enrol you. I'm here to get you there.
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