GenAI Project Use Case + Code & Interview Prep with Divyansh Purswani

📘 Detailed Description

This module is designed for learners who want to understand Generative AI projects end-to-end and confidently explain them in interviews — not just run code.

In this session, I’ll walk you through a real GenAI use case (such as a chatbot, recommender, or planning assistant) using industry-ready project structure and clean, modular code.

🔹 What You’ll Learn & Get:

✅ Clear Problem Statement

Understand the business problem, objective, and why GenAI is used — exactly how interviewers expect you to explain it.

✅ Project Structure (Industry Style)

Learn how to organize a GenAI project (data flow, prompts, model usage, configs, utilities) so it looks professional on GitHub and resumes.

✅ Code Walkthrough (Jupyter / Python)

Step-by-step explanation of the code — prompts, LLM usage, embeddings, logic flow — with clarity on why each part exists.

✅ What to Speak in Interviews

You’ll get guided content on:

1. How to explain the project in simple terms
2. How to justify design choices
3. How to answer follow-up and scenario-based questions

✅ 20 Basic to Intermediate GenAI Interview Q&A (with explanations)

Carefully selected questions covering:

1. LLM basics
2. Prompt engineering
3. Use-case reasoning
4. Limitations, risks, and improvements

This module is ideal if you want to add a strong GenAI project to your profile and be fully prepared to discuss it with confidence during interviews.

🎯 By the end of the session, you’ll not only understand the project — you’ll know exactly how to present it like an industry-ready professional