LIVE GENAI BUILD SESSION • 27 SEPT • 7:00 PM IST Seats open for the live session →
◆ Live GenAI Build Session

Stop watching GenAI tutorials. Build one.

Join us live on 27 September and build along as we connect RAG, embeddings, tokenization, Python, Streamlit and modern LLMs into a practical GenAI application.

📅 SUNDAY • 27 SEPTEMBER • 7:00 PM IST
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See what we build
Free Live Webinar • Practical • Build Along
◆ The GenAI app you'll build — live
docuchat · streamlit
💬 Chat with your documents
📄 annual_report_2025.pdf indexed
What were the top 3 drivers of revenue growth?
📄 annual_report_2025.pdf · p.12
Ask anything about your PDF…
Built live with RAG · Embeddings · Gemini · Groq
Upload any PDF → ask in plain English → get instant, sourced answers. You'll build this end-to-end.
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The gap

GenAI is easy to watch.
Building it is different.

You've watched RAG videos. You've heard about embeddings. You've used ChatGPT and Gemini. You've copied a few notebooks. Then someone asks: "Can you actually build a GenAI application?" — and suddenly all those disconnected concepts need to fit together.

How it usually goes

Tutorials↓ Concepts↓ More concepts↓ Confusion

What actually works

Project↓ Architecture↓ Code↓ Working application
The shift

From GenAI concepts → one working mental model

Before

  • RAG sounds complicated
  • Embeddings feel abstract
  • LLM APIs feel disconnected
  • Not sure where Streamlit fits
  • Don't know how documents become AI answers

After

  • Understand the GenAI application pipeline
  • Know where embeddings fit
  • Understand retrieval
  • Understand tokenization
  • See how Python turns it all into an app
What we're building

We're not just going to talk about GenAI. We're going to build one.

A document-question app: drop in a PDF, ask a question, and watch the pieces connect — from raw document all the way to an AI answer inside a Streamlit interface.

Under the hood

What actually happens when you ask your AI a question?

What you'll learn

Eight pieces. One pipeline.

The stack

Modern GenAI tooling — and the role each part plays

Who this is for

If any of these sound like you, you're in the right place

You don't need to be an AI researcher. Basic Python familiarity will help you follow along.

Who's building with you

Your host

Nikhil Kumar Mishra

Nikhil Kumar Mishra

Software Dev → Data Analyst • Mentor • Founder

Nikhil has worked both sides of the stack — first as a software developer, now as a data analyst. At Info Edge he worked on data-analytics growth & strategy. Through online and offline mentoring he's helped 2,500+ learners break into data analyst and data science roles — and today he's the founder of AnalystWorld, helping hundreds of aspiring data professionals build real, job-ready skills.

Ex-Info Edge · DA Growth & Strategy 2,500+ learners mentored Founder · AnalystWorld.in Software Dev → Data Analyst
"Don't just learn the tool. Build something with it."
What you'll walk away with

You'll have a clearer answer to one question:

"What does an actual GenAI application look like under the hood?"

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FAQ

Quick questions

Reserve your seat

Enough tutorials.
Let's build.

Join us live on Sunday, 27 September at 7:00 PM IST.

Free Live Webinar • AnalystWorld  •  Save the date: 27 September • 7:00 PM IST