GenAI Elite – AI Career Transition for Senior Developers

Why switch to AI today

Why today, not "someday"

Companies are cutting headcount to fund AI. Here's what that means for an engineer with your experience.

You didn't spend 10+ years to feel replaceable

You've shipped systems, fixed late-night outages and mentored juniors. Yet in AI meetings you sit quietly while someone half your age explains agents and RAG. That isn't a lack of talent. It's a skills gap, and gaps can be closed.

The work you're proud of is quietly shrinking

CRUD APIs, integrations and boilerplate that took weeks are now generated in minutes. The engineers who stay valuable will be the ones who design and run the AI that writes the code.

Your family is counting on a career that lasts

The home loan EMI, your kids' education and your parents' care don't pause for a restructuring. Moving into AI is about making your income the safest thing in your household.

Waiting has a cost you don't see yet

Every month you postpone, someone else adds "shipped AI to production" to their profile, and the roles you deserve go to them. A year from now you'll be glad you started this week, or wish you had.

Your experience is an unfair advantage

AI architects aren't made from prompt tutorials. They come from engineers who understand scale, security, legacy systems and real users. You're not starting over. You're adding the layer that makes all your experience matter again.

And honestly, it's exciting again

Remember the early years when you couldn't wait to build something new? AI brings that back. Getting an agent working in production is the most fun most engineers have had in a decade.

You don't need to quit your job, go back to college or master advanced math. You need the right roadmap and the decision to start.

Start My AI Transition – ₹1,999

The uncomfortable truth

Companies are cutting headcount to fund AI. Which side of that budget are you on?

Tenure doesn't protect you

The next layoff list is written by budget, not years of service. Support roles shrink while AI teams get funded.

Juniors are moving faster

Engineers with half your experience are listing LangGraph and RAG on their profiles. Recruiters are shortlisting them for roles you should be getting.

"AI" on a résumé isn't enough

Interviewers ask what you've shipped. The safest engineer is the one who can take AI to production.

Job security isn't just about you. It's the EMI, your kids' school, your parents. Make your career the safest bet in your family.

Why I built this

At year 14 in Java, I was the senior engineer who suddenly felt junior.

In every AI meeting, I nodded along. Courses taught me what a transformer was, but nothing about what breaks when real users hit an LLM app. I didn't need another certificate. I needed to build something that actually worked in production.

So I did it the hard way: shipping RAG, Graph RAG and multi-agent systems for BFSI, healthcare and manufacturing clients. I documented every mistake along the way.

This course is that roadmap, built so you don't lose two years figuring it out alone.

I transitioned my career in AI After 14 years working in java using the same roadmap.

— Raaj, Founder, GenAI Elite

Why most senior devs don't get results from AI courses

They teach demos. Companies hire people who can ship.

Theory over production

Hallucinations in front of customers, retrieval breaking at scale, token costs spiraling. None of it gets covered.

Understanding AI is easy. Keeping it stable and cost-controlled in production is the real job.

Zero enterprise context

The same RAG demo is taught for a bank, a hospital and a factory, as if context doesn't matter.

Compliance, legacy systems and data sensitivity shape every real deployment. We build inside those constraints.

What you'll build

A full-stack AI curriculum, finished with a production-grade project

Every module ends with something you can show in an interview, not just a quiz score.

Module 1

Python & LLM foundations

APIs, prompting, tokens, embeddings: the engineer's view.

Module 2

RAG pipelines

Chunking, retrieval, re-ranking and evaluation with RAGAS.

Module 3

Graph RAG with Neo4j

Knowledge graphs for enterprise data that plain RAG misses.

Module 4

Agentic AI with LangGraph

Multi-agent orchestration, memory and human-in-the-loop.

Module 5

MCP & enterprise integration

Connect agents to real systems, databases and NL2SQL.

Module 6

Fine-tuning essentials

When to fine-tune, LoRA/QLoRA, and when not to.

Module 7

LLMOps, observability & guardrails

Monitoring, cost control and safety in production.

Capstone

Production-grade AI project

An enterprise use case built end to end, ready to demo in interviews.

Student outcomes

Engineers like you, already making the move

[Java Developer → AI Engineer]

[Specific result in the student's words: what changed, in how long.]

ShivNarayan[New role, Company]

[.NET Lead → GenAI Architect]

[Specific result: e.g. shipped a RAG system at work, got promoted.]

[Student name][New role, Company]

[Data Analyst → AI Engineer]

[Specific result: e.g. cleared 3 AI interviews after the mock rounds.]

[Student name][New role, Company]

Some of our students feedback…

Software engineers discussing AI project

Your 5-month roadmap

You won't be doing this alone

It starts with a personal call with me, so you know exactly what to do from day one.

Week 1

1:1 Roadmap call

A personal call with Raaj to map your transition plan around your role and schedule.

Months 1–2

Core AI skills

Self-paced modules plus weekly group doubt sessions so you never stay stuck.

Months 3–4

Build the project

Follow the project blueprint and get help in the group sessions and community.

Month 4

AI-ready résumé

Use our résumé template and guidelines to reposition your profile for AI roles.

Month 5

Interview prep

Group mock interview plus a real AI interview question bank.

Start here, go further if you need to

Want me to work with you personally?

The course is built so you can make the move on your own. Some engineers want closer support. For them I run a small 1:1 mentorship program. It's optional, seats are limited, and we only talk about it on your roadmap call if it fits your goals.

	₹1,999 Course	1:1 Mentorship
Full course content	Included	Included
Doubt clearing	Weekly group sessions	Direct access to Raaj
Production project	Build it yourself with the blueprint	Built with Raaj, with code reviews
Progress tracking	Self-paced	Raaj tracks your progress weekly
Mock interviews	One group session	Repeated 1:1 mocks until you're ready
Résumé	Template and guidelines	Personally rewritten by Raaj

Mentorship is by invitation after your roadmap call. 5 seats per month.

Everything you get

₹29,000+ of value, yours for ₹1,999

Full-stack self-paced AI course₹10,997

Production-grade project blueprint and starter code₹4,999

Weekly group live doubt sessions₹5,999

1:1 AI Career Roadmap call with Raaj₹2,999

AI résumé template and guidelines₹1,499

Group mock interview session₹1,999

Private community access₹999

Total value₹29,491

Fast-action bonuses (enroll before 1st December)

Bonus 1: AI Résumé Teardown — worth ₹1,999

Bonus 2: 50 real AI interview questions with answers — worth ₹999

Bonus 3: Private WhatsApp AI community — worth ₹999

Launch price ends 1st December 2026

₹10,997 · then ₹3,999

₹1,999

One-time payment · lifetime access

1:1 roadmap call slots for [December]10 of 40 left

I personally take every roadmap call, so new enrollments are capped each month.

Start My AI Transition

Secure checkout · UPI, cards, net banking

Questions engineers ask before joining

Who is this for?

Java, .NET, UI, DevOps and data engineers (typically 3–15 years of experience) who want to move into AI engineering without quitting their job.

How many hours a week do I need?

Min 10 hours a week. On your roadmap call we build a plan around your actual schedule.

Do I need to know Python?

Yes, basic Python helps; a Python-for-AI refresher module is included

Do I need advanced math or ML background?

No. The course is engineering-first: building, deploying and debugging AI systems, not deriving equations.

Is this live or recorded?

Self-paced recorded modules, backed by weekly live group doubt sessions, a private community, and one 1:1 roadmap call with Raaj.

What is the 1:1 Roadmap call?

A personal call with Raaj after you enroll. We look at your current role, goal and schedule, and you leave with a concrete transition plan you can follow with the course.

What's the difference between the course and 1:1 mentorship?

The course gives you everything you need to make the move on your own, with group support. Mentorship is for people who want Raaj working with them directly: weekly progress tracking, building the project together, and repeated 1:1 mock interviews. It's optional, has limited seats, and is only discussed on your roadmap call if you want it.

How long do I get access and support?

Lifetime for the content, and 1 year of live doubt sessions and community access.

What if I fall behind?

Everything is recorded and self-paced, and the weekly group sessions help you get unstuck. You can catch up anytime within your access period.

Will this get me a job?

Nobody can honestly guarantee a job. What we give you is the path: production skills, a real project to show, an AI-ready résumé and interview practice.

Will I get a certificate?

Yes, on completion. But your project is what will get you hired.

Ignoring AI today is like ignoring the internet in 1999

Your 10+ years of experience are an advantage, but only if you move now.