Every year, lakhs of students pick a computer science degree because it feels like the safe choice. Here’s the uncomfortable part nobody tells you at admission counters: the skills that made CS “safe” a few years ago are exactly the ones AI now does faster and cheaper.

The degree hasn’t changed. The job market underneath it has.

This isn’t a doom session. It’s the opposite — a clear, honest look at what’s actually shifting, which skills are gaining value while others fade, and how to pick a path now so that you’re the person companies fight to hire in 2030, not the one competing with a model that writes code for free.

What you’ll walk away with

- The 3-layer shift in tech hiring — which engineering roles AI is shrinking, which it’s exploding, and where the new money is going (Applied AI, product thinking, cloud & data infrastructure).

- The skills that compound vs. the skills that expire — so you stop optimising for a syllabus that’s already dated.

- Why “build, don’t just learn” is the new rule — and how students with no IIT tag are landing ₹1.5–2.5L paid internships in their first year by working on real products instead of theory.

- A straight answer to the parent question: is a non-traditional, AI-first path actually safer than a conventional BTech? We’ll show you the trade-offs honestly — including the risks.

- What “AI-native” engineering education looks like — and how to evaluate any program against it.

You should attend this webinar if:

- You’re choosing a degree and quietly worried “what if this is obsolete by the time I graduate?”

• - You’re a parent who wants the safe choice — and is willing to question what “safe” even means now.
• - You’ve heard “learn AI” a hundred times but no one’s told you what, why, or what to do on Monday.

Spots are limited. Register now!