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IMPORTANT: Participants must register through the registration link
Shortlisted candidates would receive a confirmation a few days prior to the event. As we have limited seats, registration is mandatory, and we recommend registering soon.

AI is rapidly moving beyond simple chatbots. The next generation of applications is powered by autonomous agents that reason, collaborate and interact with real-world systems.

In this hands-on workshop, you’ll learn how to design and orchestrate intelligent AI systems using LangGraph and modern agentic patterns. Through practical exercises and real-world examples, you’ll discover how to transform large language models into powerful, composable systems that automate complex workflows.

💡 What you’ll learn

  • How LangGraph workflows work — nodes, edges, routing, and execution
  • The fundamentals of AI agent architecture including prompts, tools, and context
  • How to design multi-agent systems that collaborate to solve complex problems
  • How to extend agents using the Model Context Protocol (MCP) to connect with data and services

🛠️ Hands-on sessions included
You’ll build:

  • A LangGraph workflow from scratch
  • A tool-enabled AI agent
  • A multi-agent system for a real-world use case
  • An MCP-powered agent integration

👩‍💻 Who should attend

  • Developers building AI-powered applications
  • ML/AI engineers exploring agentic architectures
  • Platform and backend engineers integrating LLMs with real-world systems
  • Tech leads and architects designing automation platforms and multi-agent systems
  • Innovation and R&D teams experimenting with AI agents and orchestration frameworks

📋 Prerequisites

  • Laptop with Python & Git installed
  • GitHub account
  • API keys for models (e.g., Gemini or GPT)
  • Familiarity with an IDE such as VS Code or PyCharm

🎯 Key takeaways
By the end of the workshop you will:

  • Understand LangGraph’s execution model
  • Build reasoning-driven AI agents
  • Design scalable multi-agent architectures
  • Extend agents using MCP-based integrations

Workshop Agenda

  • Foundations of LangGraph
  • Introduction to AI Agents
  • Multi-Agent Systems
  • Model Context Protocol (MCP)
  • Q&A and open discussion

🎥 This workshop expands on the ideas presented in this talk:
https://youtu.be/zWWWi5tfkn4?si=SXbpzCFN62GDcAxa
📌 **Seats are limited — register early to secure your spot!

## Important Registration Notice

  • All registrations will be waitlisted initially
  • Only official confirmation email guarantees entry
  • Meetup/platform emails are not confirmation

Related topics

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