LangGraph 101: Building Stateful Multi-Agent AI Applications

Join us for an engaging webinar where we’ll dive into LangGraph and LangChain, showing you how to build smarter, stateful multi-agent AI systems. Learn how to use Large Language Models to create agents that can plan, execute, and adapt to complex tasks autonomously.

Whether you’re just starting or already working with multi-agents, this webinar will give you the skills and inspiration you need to create sophisticated and dynamic AI systems. Let’s unlock the true potential of LangGraph together and take your AI capabilities to the next level.

What You’ll Learn:
• Understand the core principles of LangGraph and its agentic architectures.
• Design and build intelligent agents using LangChain and LangGraph.
• Learn to manage agent states effectively, including planning, executing, and adapting.
• Develop multi-agent AI systems that are efficient, stateful, and ready for real-world challenges.

#ai #LangGraph #LangChain #MultiAgentAI #MachineLearning #AIDevelopment #LargeLanguageModels
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Table of Contents:

00:00 Understanding Large Language Models (LLMs) and Agentic Workflows
07:03 Introduction to LangGraph Framework
09:19 Key Components of LangGraph: Nodes, Edges, and State Management
16:04 Multi-Agent Architectures in LangGraph
21:01 Practical Demo: Setting Up Agents and Tools in LangGraph
34:22 Building and Testing the LangGraph Workflow
45:47 Q&A Session on LangGraph Applications and Best Practices
56:22 Real-World Applications and Framework Comparisons

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