Gen AI track

Gen AI interview questions

Build with LLMs. 13 chapters, 2309+ real interview questions with model answers — learn each concept and practise how to answer it. In English & Hinglish.

191+ topics · Free to start

Why this track works

Learn only what Gen AI interviews actually ask.

13 chapters, 60–90 minutes each. Every concept starts with a real-world problem — the kind production code throws at you. No wall of theory, no textbook topics the industry never touches. Learn → test yourself → take an AI mock → fix your weak spots.

  • 📖LearnConcept + real-world problem, 60–90 min
  • 🧠RememberModel answers + flashcards
  • 🤖PractiseAI mock + weak-topic report
Full video coursebuilt around a syllabus40h+
Hirenix trackbuilt around interviews~20h

The difference isn’t the content — it’s the filter. Only what’s actually used in production and actually asked in interviews. Textbook topics the industry never touches don’t make the cut.

Start free🌐 English🇮🇳 Hinglish

Python for AI

Py

Why Python for AI? · Python syntax basics · Functions & modules · Data structures · Working with JSON

13 topics · 149 questions

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LLM Foundations

LLM

LLM basics · Prompt engineering · System prompts · Advanced prompting · OpenAI SDK

12 topics · 156 questions

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Embeddings & Vector DB

Vec

What are embeddings? · Embeddings API · Similarity search · ChromaDB · Pinecone

10 topics · 110 questions

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RAG (Retrieval Augmented Generation)

RAG

What is RAG? · RAG vs fine-tuning · Document loaders · Text splitting & chunking · Retrieval strategies

13 topics · 158 questions

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Function Calling & Tools

Tools

What is function calling? · Tool definitions (JSON Schema) · The tool-call loop · Parallel tool calls · Real-world tools

13 topics · 155 questions

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LangChain & LangGraph

Framework

What is LangChain? · RAG with LangChain · Tools with @tool · LangGraph basics: StateGraph · LangGraph agents

13 topics · 145 questions

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Memory Management

Memory

What is memory? · Buffer memory · Summary memory · Vector store memory · Checkpointers: short-term memory

13 topics · 159 questions

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Fine-Tuning

Fine-Tune

What is fine-tuning? · When to fine-tune (and when not to) · Dataset preparation (JSONL) · Data quality and validation · The hosted fine-tuning API

13 topics · 158 questions

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Guardrails & Safety

Guardrails

What are guardrails? · Prompt injection · Input validation and blocklists · Detecting injection with a classifier · Hardening the system prompt

17 topics · 206 questions

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Full-Stack AI

Stack

From script to product · FastAPI basics · async def vs def: blocking the server · Streaming responses with SSE · Streaming UI in React

17 topics · 208 questions

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AI Deployment & MLOps

Deploy

From laptop to production · Containerizing an AI app · Serverless vs container · The local stack with Compose · Config and secrets

19 topics · 242 questions

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Image & Video Generation

Media

How image models actually work · Prompting for images · Calling an image API · Sizes, formats and web delivery · Seeds and reproducibility

19 topics · 232 questions

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MCP — Model Context Protocol

Protocol

Why MCP exists · MCP vs function calling · Host, client and server · Your first MCP server · Tools in depth

19 topics · 231 questions

View MCP — Model Context Protocol questions

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