New Track 2 · 3 · 6 months

AI & Generative AI Internship — Build LLM-Powered Apps

Work at the frontier. Build RAG pipelines, design production prompt systems, and integrate large language models into real apps using LangChain, modern LLM APIs, and Hugging Face — with a verifiable certificate at the end.

Apply for the AI Internship See the projects
What You'll Build

GenAI apps that actually run

RAG
RAG Document Q&A Chatbot

Upload any PDF and get grounded answers — built with LangChain, FAISS vector search, and an LLM API. Deployed for anyone to try.

Prompting
Production Prompt System

Design, test, and harden prompts for a real task — handling edge cases and structured output like a production app.

Integration
LLM-Powered Web App

Integrate an LLM into a Streamlit app — summarisation, extraction, or a domain assistant — end to end.

What you'll learn

  • Calling and integrating LLM APIs (OpenAI, Anthropic Claude)
  • Prompt engineering and structured outputs
  • Retrieval-Augmented Generation (RAG) with embeddings and FAISS
  • Orchestration with LangChain
  • Using open models from Hugging Face
  • Shipping a GenAI app and documenting it on GitHub

Tools & stack

Python · LangChain · OpenAI & Anthropic Claude APIs · Hugging Face · FAISS · Streamlit

Who it's for

Python-comfortable students who want to build with generative AI — the fastest-growing skill in tech — and finish with deployed GenAI projects recruiters notice.

Build with generative AI

Start free or upgrade for mentor reviews. You finish with deployed LLM projects and a verifiable certificate.

Apply Now
FAQ

AI internship questions

What do I need to know first?
Comfort with Python is the main prerequisite. You don't need deep ML theory — the track focuses on using LLM APIs, prompt engineering, and building RAG apps, learned through real projects.
Which AI tools and models will I use?
LangChain, leading LLM APIs (OpenAI and Anthropic Claude), Hugging Face models, and FAISS for vector search — the same stack used to build production GenAI apps today.
Is it online with a certificate?
Yes — 100% online, and you earn a QR-verified certificate linked to your GitHub projects on completion.
Compare all 8 internship programs