What a AI Agents & RAG intern does

The AI Agents & RAG role, what you build at each level and what you need before you start.

Build AI assistants that answer from your own documents and take actions with tools: embeddings, vector search, retrieval-augmented generation and agent workflows.

What you build, level by level

  • Level 1: Foundations: Explain agents vs chatbots, Embeddings hands-on, Chunking experiment and more.
  • Level 2: Building real features: RAG chatbot over a website, Hybrid search, Research agent and more.
  • Level 3: Professional work and capstone: Customer-support agent, Multi-agent workflow, Agent evaluation harness and more.

Where this work is used

Training Trains, W3AppDevelopers and DomainHostly use these skills in real projects: AI / Machine Learning Solutions. Interns who pass the readiness check can take paid-company work from the Company Work board in the portal.

Before you start

Python basics are needed. Prompt engineering experience helps but is covered in the first level.

Tools and first-week setup โ†’