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AI applications are evolving beyond simple LLM calls. Join us for an insightful session on LangGraph and learn how backend engineers can build scalable, stateful, and production-ready AI applications.

What we'll cover:

  • LangGraph fundamentals and core architecture
  • State management, nodes, edges, and workflows
  • Building AI agents and tool-based workflows
  • Memory, persistence, and human-in-the-loop
  • Integrating LangGraph with backend systems and APIs
  • Best practices for building scalable and production-ready AI applications

Learn how to leverage LangGraph to design smarter, more reliable, and production-ready AI systems while applying strong backend engineering principles.

Related topics

Artificial Intelligence
Machine Learning
Python
Backend

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