Generative AI Internship in Coimbatore (LLMs, RAG & AI Chatbots)

For students, look for an AI internship with real projects, mentor pair programming and a verifiable certificate. Skill Radar's Generative AI internship in Gandhipuram, Coimbatore offers all three: students build RAG search systems, AI chatbots and multi-agent tools with 1-on-1 guidance from AI engineers at Nandha Infotech, get OD/NOC support for college, and choose a batch length from 5 days to 6 months.

The Generative AI internship covers Python, LLM APIs, orchestration frameworks, vector databases and deployment tools. You work with OpenAI GPT and Anthropic Claude APIs, LangChain, LangGraph, LlamaIndex, Pinecone, ChromaDB and Hugging Face Transformers. Backend integration uses FastAPI, with Docker and cloud VPS for deployment.

Yes, engineering students receive an internship offer letter, OD and NOC support, and a completion certificate. Skill Radar supports college On-Duty (OD) approval and university NOC documentation. The ISO-recognized Internship Completion Certificate is issued with Nandha Infotech Pvt Ltd.

You build RAG search systems, multi-agent tools, AI chatbots and AI copilot web apps. Projects include an enterprise RAG knowledge search engine over PDF/SQL data, an autonomous multi-agent research system, a real-time AI customer support bot, and customized AI copilot web applications.

Yes, GenAI internship batches are conducted offline at the Skill Radar campus in Gandhipuram, Coimbatore. The address is 89/99 NGN Street, New Siddhapudhur, Gandhipuram. Lab sessions use high-speed workstations and GPU cloud instances, with face-to-face mentor pair programming.

The Generative AI internship runs from 5 days to 6 months, so you can pick a short intensive or a longer project-based track. Both weekday and weekend batches are available.

Yes, non-IT and beginner students can join; basic programming and logical thinking are sufficient. Mentors start with Python and prompt engineering foundations. Interns then progress to embeddings, vector databases and production agent workflows.

The Data Science internship focuses on analyzing data and building predictive machine learning models with Python, Pandas and Scikit-Learn. The Generative AI internship focuses on building applications on top of large language models — prompt engineering, RAG pipelines, AI chatbots and AI agents using OpenAI and Claude APIs, LangChain and vector databases.

A Generative AI internship prepares students for entry-level roles such as Generative AI Engineer (trainee), AI/ML Intern, LLM Application Developer, Prompt Engineer and AI Chatbot Developer. The RAG, chatbot and agent projects built during the internship form the portfolio AI recruiters ask for.