Build AI Agents with LangGraph

What’s This Workshop About?

This session is designed to introduce you to the fundamentals of LangGraph and guide you through building an autonomous GitHub agent. You’ll explore how Agentic AI enables intelligent, autonomous systems and learn to harness LangGraph’s power to create your own AI agents.

What You’ll Do

• Understand Agentic AI: Learn the core concepts behind Agentic AI and how it powers autonomous decision-making systems.
• Master LangGraph Fundamentals: Get a clear, beginner-friendly introduction to LangGraph, its architecture, and its capabilities.
• Build an Autonomous GitHub Agent: Follow step-by-step guidance to create a fully functional AI agent that interacts with GitHub, automating tasks like issue tracking or PR reviews.

What You’ll Gain

• A solid understanding of Agentic AI principles.
• Practical experience building an AI agent using LangGraph.
• Hands-on skills to automate workflows with your own autonomous agent.
• Confidence to experiment with LangGraph for other AI-driven projects.

Who Should Attend

• Developers curious about AI-driven automation.
• Data scientists or engineers interested in building intelligent agents.
• Tech enthusiasts with basic Python knowledge eager to explore Agentic AI.
• Students who want to upskill in Agentic AI

Who It’s Not For

• Absolute beginners with no coding experience.
• Those expecting a deep dive into unrelated AI frameworks.
• Attendees looking for non-technical or no-code sessions.

Pre-Requisites

• Basic knowledge of Python programming.
• Familiarity with GitHub (e.g., repositories, issues, pull requests).
• A laptop with Python 3.9+ installed and a code editor (e.g., VS Code).
• An active GitHub account for hands-on exercises.
• (Optional) Basic understanding of AI concepts.