First 100 registrations only. Live on Sunday, 20 September 2026, 11:00 AM - 1:00 PM IST.
AI career transition for working professionals

Move into AI with a plan, not panic.

Date Sunday, 20 September 2026
Time 11:00 AM - 1:00 PM IST
Seats First 100 registrations

A focused live webinar for developers, testers, data professionals, support engineers, architects, full-stack engineers, and tech leads who are asking the same hard question: where do I start, and how do I make AI relevant to my career?

Register for Rs 199 View curriculum

You submit your career questions before the session. The live discussion is shaped around those real problems.

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Limited live room: first 100 registrations

Registration closes once the first batch is full, so the session can stay focused and question-led.

Where this webinar fits

Not a one-off session. A path from free to production-ready.

Start free, meet me live at this Rs 199 session, then go deeper with the exact production-focused course this session's roadmap points to. No pressure to buy anything before or during the webinar.

Step 1 - Free Getting Started with Document Intelligence Free on Udemy. See the AI direction before you spend a rupee.
Step 2 - You are here AI Career Transition Webinar - Rs 199 Live, question-led session. First 100 registrations.
Step 3 - Go deeper AI Document Intelligence: RAG, Agents & ML Data The full production-focused course. Walked through live in the roadmap block of this session. Step 4 - Go deeper AI System Design & MLOps: From Raw Data to AWS Kubernetes End-to-end MLOps: raw data, MLflow, DVC, FastAPI, Docker, to AWS EKS.
This is not another generic AI webinar

Your career questions become the agenda.

Most AI career advice is too broad. This session is built around the questions professionals are actually carrying: stack confusion, roadmap anxiety, project choice, job relevance, skill gaps, and how to move from current work into AI without restarting from zero.

QUESTION 01

Where should I start?

Understand the right entry point based on your current background: .NET, Java, Python, QA, data, cloud, frontend, or support.

QUESTION 02

Which AI path is practical?

Compare RAG, Agents, Document Intelligence, MLOps, and Full-Stack AI Engineering so your roadmap is not random.

QUESTION 03

How do I become job-ready?

Map courses, portfolio projects, architecture skills, and implementation depth into a credible transition plan.

Two-hour live format

A practical career room, not a lecture marathon.

The session is designed to make your next move clearer. I will review submitted questions, group common patterns, answer the highest-impact career problems, and then show which learning paths and courses fit each kind of transition.

Before
Question captureSubmit your career problem, current stack, experience level, and target AI direction.
11:00 AM
AI career landscapeWhat is actually changing: RAG, agents, document AI, MLOps, and why FDE is trending.
11:30 AM
Career problem solvingLive answers based on the questions submitted before the session.
12:35 PM
Your next 90-day AI roadmapHow to choose the right projects, skills, and learning sequence for your current role and target AI path.

The FDE direction we will unpack

FoundationProgramming depth, APIs, databases, cloud basics, and clean engineering habits.
AI LayerRAG, embeddings, agents, document intelligence, evaluation, and practical prompt orchestration.
Product LayerFull-stack user workflows, secure APIs, observability, deployment, and integration with real business systems.
ProofPortfolio projects that show you can build AI features into production-style applications.
Why this matters now

AI needs engineers who can build the whole product surface.

FDE-style roles are becoming attractive because companies do not only need model users. They need engineers who can talk to business users, understand workflows, build AI-enabled products, connect data, ship APIs, deploy systems, and keep the experience useful in production.

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Who should attend

Built for professionals already in tech.

This session is for people who do not need motivational noise. You need a clear transition path from your current skill set into practical AI engineering work.

Developers on .NET, Java, Python, JavaScript, or cloud stacks who want to understand how to add AI depth without abandoning their engineering base.
QA, support, data, and automation professionals who want a realistic bridge into AI projects and AI-enabled product work.
Senior engineers and tech leads who need to understand RAG, agents, MLOps, and modernization from an architecture and career perspective.
Professionals confused by too many AI courses who want to know which path to take first and how each course should shape their portfolio.
Limited live career session

Share your details and career question to confirm your seat.

Session date: Sunday, 20 September 2026, 11:00 AM to 1:00 PM IST. Please start by sharing your name, contact details, current role, tech stack, career concern, and the AI direction you are considering.

Registration flow: Submit your career question first, then review the final confirmation. Your submitted question will help shape the live discussion.
What happens after you register
  • Zoom access and session details are shared on your registered email and WhatsApp closer to the date.
  • This is a live-only session - a replay is provided only if explicitly announced for this batch.
  • The free courses and the go-deeper course shown above stay open, so you can keep moving at your own pace after the session ends.
Rs 199Sunday, 20 September 2026 - 11 AM to 1 PM IST

For working professionals who want a practical path into AI, FDE, RAG, agents, MLOps, and document intelligence. First 100 registrations only.

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