Weekend Agentic AI Workshop

Two full days, one agent, deployed by the end. This workshop suits people who have read about agents but never built one, and want a guided first build rather than a lecture series.

This is a build workshop, not a lecture series. Over two days you go from an empty file to a deployed AI agent that plans, calls tools and returns a useful result.

Day one

What an agent actually is, how tool calling works, and getting a first loop running locally. By the end of the day your agent completes a simple multi-step task.

Day two

Memory and context, handling failure and runaway loops, then deployment. You finish with a live URL you can share and the source code to keep building on.

Booking

Workshops run monthly with limited seats. Call +91 87147 73304 to check the next date.

What it covers

  • What separates an agent from a single prompt
  • Tool calling and function schemas
  • Giving an agent memory and context
  • Handling failure, retries and loops
  • Deploying the agent so it has a live URL

Learning outcomes

  • Build an agent that plans and calls tools
  • Explain when an agent is the wrong choice
  • Deploy your build and share a live link
  • Debug an agent that loops or stalls

Tools

  • Python
  • LLM APIs
  • An agent framework
  • A deployment platform

Projects

  • A research agent that gathers sources and writes a summary

Who it is for

  • Developers who want a guided first agent build
  • Students preparing for AI interviews
  • Anyone who has read about agents but not built one

Prerequisites

  • Comfortable writing basic Python
  • A laptop with Python installed

Frequently asked questions

Do I need prior AI experience?

No, but you do need to be comfortable writing basic Python. The AI concepts are taught from scratch.

What do I need to bring?

A laptop with Python installed. We provide API access for the weekend, so there is nothing to buy.

Will I finish with something working?

Yes. Everyone deploys their agent by the end of day two and leaves with a live URL and the source code.