Introduction to AI Agents

Hands-on masterclass building autonomous AI agents with LangChain, CrewAI, and Vector DBs, deployed via FastAPI and React.

//Overview & Context

Moving beyond traditional conversational chatbots, Anveshan hosted an interactive and practical hands-on workshop titled 'Introduction to AI Agents' at BPIT, New Delhi.

The workshop challenged participants to stop merely chatting with LLMs and start building autonomous agentic systems. Guided through the core cognitive cycle—Perceive → Think → Act—engineers explored multi-agent orchestration with LangChain and CrewAI, knowledge retrieval with Vector Databases, and full-stack integration connecting Python agent backends with React and FastAPI. Every attendee concluded the session with a working, self-directed AI agent.

//Key Highlights & Outcomes

Autonomous Agent Architecture: Understanding the Perceive → Think → Act pipeline

Multi-agent orchestration and coordination using LangChain & CrewAI

Vector Databases & contextual RAG for accurate tool decision-making

End-to-end full-stack integration using Python, FastAPI, and React

Live deployment of working autonomous agents during the session

Event Snapshots & Archive (4)

On-Site Photography & Lab Captures