Free webinar: From Software Engineer to AI Product Engineer

You already use ChatGPT, Claude and Copilot. But there is a large gap between using an AI tool and engineering an AI-powered product. Most developers can call an LLM API. Far fewer can say where AI belongs in a product, when RAG beats a database query, when an agent is the wrong answer, or what it costs to run any of it reliably.

This is a 90-minute practical session on how modern AI applications are actually built, with a live engineering demonstration rather than slides.

In 90 minutes you'll learn

What we'll cover

What AI Product Engineering actually means, and why it differs from using AI tools

How modern AI applications are built: user → app → API → AI layer → LLM + data + tools

LLM vs RAG vs workflows vs tool calling vs agents — and when to use each

The skills IT professionals actually need to make the transition

A live engineering demonstration of an AI application architecture

Common mistakes developers make when they first enter AI

Agenda

How the session runs

00:00The AI product engineering landscape — what is actually changing

00:15How AI products are built: the real architecture

00:40LLM vs RAG vs agents — choosing correctly

00:55Live demonstration: an AI application, end to end

01:15Career and skill direction for IT professionals

01:25Live Q&A

Who it's for

Is this session for you?

Software & Backend DevelopersYou can build systems — now add AI as an engineering capability

Full-Stack DevelopersShip complete AI-powered features, not just API calls

Java & Python DevelopersThe architecture applies across your existing stack

ML & Data EngineersMove from models and pipelines into LLM product engineering

Tech Leads & ArchitectsDecide where AI belongs in your product and where it does not

IT Professionals exploring AIGet a clear picture before committing time to the wrong things

This is not…

A generic AI introductionA ChatGPT tutorialA theory-heavy lectureA sales presentation disguised as trainingA promise that you will be an AI engineer in 90 minutes

Takeaways

What you leave with

A clear AI engineering roadmap

What to learn, in what order, and what to skip

AI application architecture

How the pieces of a real AI product fit together

Clarity on LLMs, RAG, workflows and agents

Know which one a given problem actually calls for

How AI integrates with existing software

Applying it to the systems you already maintain

Awareness of common entry mistakes

The expensive detours most developers take first

Your host

Dr Ganesh

AI Product Engineer | Generative AI | Software Engineering | AI Systems

Dr Ganesh works on generative AI, LLM applications, AI agents, RAG systems, knowledge systems, software architecture, backend and API engineering, AI-powered software engineering, application modernisation, and AI testing and validation.

His approach: real engineering over AI hype. This session covers practical industry knowledge and general engineering concepts.

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Want to go deeper?

AI Product Engineering Bootcamp

Build and deploy a real AI application in 3 days — LLMs, RAG, agents, APIs and production architecture. Not prompts.

See the bootcamp

FAQ

Before you register

Is the webinar really free?

Yes. Registration is free and there is no obligation to buy anything.

Do I need previous AI experience?

No. Basic software development experience is sufficient.

Is this suitable for Java developers?

Yes. The architecture and concepts apply across technology stacks.

Will there be a live demo?

Yes, a practical engineering demonstration — not a slide walkthrough.

Can I ask questions?

Yes, there is a live Q&A section at the end.

Will the webinar be recorded?

Recording policy is confirmed per session; registrants are told in advance.

Is this a sales pitch for the bootcamp?

The bootcamp is mentioned at the end so you know it exists. The 90 minutes are teaching, and the session stands on its own.

From Software Engineer to AI Product Engineer

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