AI Career Transition

This session is for working developers who want to transition into AI engineering — but don't know what that path actually looks like from where they currently stand.

You're probably thinking:

→ "I understand AI at a surface level but don't know how to go deeper"

→ "What do AI engineers actually do every day — is it really that different from what I do?"

→ "Do I need a data science degree or can I transition from full stack / backend?"

→ "Where do I even start — LLMs? Python? Agents? Agentic AI? MLOps? There's too much noise"

In 45 minutes, here's what we'll work through:

1. REALITY CHECK ON THE ROLE

What AI engineers actually do day-to-day — compared to your current role. No hype, just an honest picture

2. SKILLS MAPPING

How your existing skills (Java, Python, full stack, backend) translate directly into AI engineering — and what the actual gap looks like

3. THE FOCUSED LEARNING PATH

Cut through the noise. LLMs, RAG, Agents, Agentic AI, Vector databases, AI tooling — what to learn, in what order, and what to skip entirely

4. YOUR TRANSITION ROADMAP

A personalised, realistic plan to move into AI engineering — without quitting your job or doing a 2-year course

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WHO THIS IS FOR:

✓ Developers with 2-7 years of experience

✓ Full stack, backend, Java, Python, or mobile developers

✓ You want to move into AI engineering, Gen AI, Agentic AI — not data science or research

✓ You want a practical roadmap, not another YouTube playlist

WHO THIS IS NOT FOR:

✗ Beginners with no development background

✗ People looking for data science or ML research guidance

✗ Anyone wanting theory over practical transition advice

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ABOUT ME:

20 years in enterprise IT and architecture. I've led GenAI and Agentic AI initiatives at enterprise scale across BFSI, Automotive domains and cloud-native programmes at Accenture and Capgemini.

I've had this exact conversation with developers at various stages — and I know the difference between what sounds good on a roadmap and what actually gets you hired into AI roles.