FREE · LIVE online

How to Become an AI Application Developer

A practical roadmap for college students and early-career developers who want to move from using AI tools to building real AI applications.

90 minutesLive demoQ&A with the mentor

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Why this session

Almost everyone now uses ChatGPT, Gemini and Copilot. But using those tools does not make you an AI developer. The question that matters in an interview is different: can you build an AI-powered application, and can you explain how it works?

In 90 minutes we cover what an AI application developer actually does, what the complete architecture looks like, which skills to learn first, which projects are worth building — and which ones every other candidate has already submitted.

In 90 minutes

What we'll cover

What an AI Application Developer actually does — and how that differs from an ML engineer or a prompt user

How modern AI applications are built: user → app → backend → AI logic → LLM → data and tools

Which skills to learn first, and which ones are not worth your time yet

Which AI projects are worth building — and which four every student already submits

A live demonstration of an AI application working end to end

How to talk about your project so it survives an interview

Agenda

How the session runs

00:00The AI developer opportunity — what is changing in software

00:15AI User → AI Builder → AI Application Developer

00:30AI application architecture, explained simply

00:50Skills and project roadmap: what to learn and build first

01:05Live demonstration: an AI application behind the scenes

01:25Live Q&A

Who it's for

Is this session for you?

College students (BE/BTech, BCA/MCA, MTech)CS, IT, AI/ML and Data Science students who want to build, not just study

Final-year studentsSomething real for your portfolio before placement season

FreshersStarting a software or AI career and unsure where to begin

Early-career developers1–3 years in and wanting to move toward AI application work

Self-taught learnersYou have done the courses — now turn them into something demonstrable

Aspiring AI developersAnyone who wants the complete picture before picking a direction

This is not…

"Become an AI Engineer in 1 hour"A job or placement guaranteeA certificate you can collect without doing the workA theory-only lectureA generic ChatGPT session

Takeaways

What you leave with

A clear direction

Know exactly where to start instead of collecting more tutorials

An AI developer roadmap

The areas that matter, in a sensible order

Project ideas that stand out

What to build instead of another sentiment-analysis notebook

Architecture understanding

How the components of an AI application connect

Career clarity

The realistic paths into AI application development

Your host

Hosted by a practising AI engineer

Dr. Gajanan

Lead Mentor · Machine Learning, Generative AI & Agentic AI

14+years in ML & AI

ML→GenAI→Agentsthe full arc of modern AI

Designs the curriculum and leads the hands-on labs, helping participants think through problems the way an AI engineer does instead of memorising tools.

Machine learningGenerative AIAgentic AI systemsPython for AI

Inside the labs

The kind of demo you'll see live

Real recordings from our labs: running AI apps, code and measured results.

RAG lab

A documentation assistant, built end to end

A lab project: FastAPI backend, Chroma vector store and Llama 3 via Groq, answering questions about LangChain documentation.

RAGFastAPIChromaLlama 3

RAG evaluation lab

Measuring answer quality, not guessing

A lab notebook: a local FAISS knowledge base, a RAG pipeline on Groq LLMs, and RAGAS metrics to evaluate the answers. Shown at 2.5× speed.

RAG evaluationRAGASFAISSGroq

Want to go hands-on?

Step 1 · Explore: GenAI & Agentic AI Engineering Toolkit

Know the tools. Know when to use which. Build your first working AI workflows in Python. 2 days, live online.

See the workshop

FAQ

Before you register

Is this webinar for complete beginners?

Yes. No programming or AI experience is needed to follow along.

Can college students attend?

Yes — the session is designed primarily for students and early-career developers.

Can working IT professionals attend?

Yes, especially early-career developers. If you have several years of experience, the 'Software Engineer to AI Product Engineer' session will suit you better.

Do I need Python?

No. We show the code, and you can follow the ideas without writing any yourself.

Is the webinar free?

Yes, completely free.

Will there be a live demo?

Yes.

Will I get a certificate?

The webinar is a free orientation session, so there is no certificate. Every workshop includes a verifiable certificate.

Will this get me a job?

No webinar can do that. What it can do is show you what to build so that you have something worth discussing in an interview.

Your free seat is one minute away

90 minutes, live, with time for your questions.