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Abstract

Dive into the exciting world of AI agents with LangGraph! This interactive workshop blends crucial theoretical concepts with practical experience, equipping you with the skills to create and deploy sophisticated AI agents using this powerful framework.

Learn how to develop agents that can handle multi-step tasks while grasping important production factors. Through engaging exercises and real-world examples, you will explore how to build AI agents that maintain context, integrate with external tools, and scale efficiently in production environments.

Join us to bridge the gap between development theory and the practical application of AI agents!

Objectives

– Master the fundamentals of AI agent development using LangGraph
– Develop practical skills in building complex, multi-step AI workflows with proper error handling and memory management

Target Group

Data scientists and ML engineers, and software engineers interested in AI development

Prerequisites

Laptop with Python 3.9+ installed and a Google Cloud Platform account (free tier sufficient)

Organizers