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.