AI Agents & Multi-Agent Systems: Hands-on with Ritwik Raj

AI agents are where GenAI is heading, but most people only see demos that break in real use. In this 60-minute hands-on session, I'll teach you how agents actually work and we'll build a multi-agent workflow together.

What we'll cover:

• What makes an AI agent: planning, tools, memory and feedback loops

• Tool and function calling with LLMs

• Multi-agent patterns: planner and worker agents, routers, handoffs and reviewer agents

• Frameworks like LangGraph and CrewAI, and when plain Python is better

• Guardrails, retries, logging and cost control so agents behave reliably

• Building a working multi-agent workflow for a real task

Who it's for: developers who know basic Python and want to build agentic AI for projects, interviews or their current job.

Before the call, tell me the task you'd like to automate. You'll leave with working code and a design you can extend.

Learn from an engineer who has built production-grade data and AI systems at Apple, Amazon and MakeMyTrip.