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Beginnt 5 June 2026 22:26

Endet 5 June 2026

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Live Build Agentic AI Chatbot Using LangGraph - Tutorial 3

Join us for Tutorial 3 and learn to build an agentic AI chatbot using LangGraph, an innovative open-source framework designed for creating intricate generative AI agent workflows with scalable Language Model (LLM) implementation. Streamed on YouTube, this tutorial is ideal for enthusiasts and professionals eager to leverage AI tools in cuttin.
Krish Naik via YouTube

Krish Naik

6076 Kurse


1 hour 5 minutes

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Übersicht

Join us for Tutorial 3 and learn to build an agentic AI chatbot using LangGraph, an innovative open-source framework designed for creating intricate generative AI agent workflows with scalable Language Model (LLM) implementation. Streamed on YouTube, this tutorial is ideal for enthusiasts and professionals eager to leverage AI tools in cutting-edge technology.

Lehrplan

  • Introduction to Agentic AI Chatbots
  • Overview of Agentic AI
    Importance of creating agentic workflows
  • Understanding LangGraph
  • Introduction to LangGraph framework
    Key features and advantages
    Setting up the development environment
  • Designing AI Workflow
  • Defining AI chatbot objectives
    Structuring agentic workflows with LangGraph
    Integrating scalable LLMs within the workflow
  • Building the AI Chatbot
  • Creating nodes and edges in LangGraph
    Implementing generative AI logic
    Debugging and testing chatbot functionality
  • Advanced Features and Customization
  • Incorporating user feedback loops
    Enhancing chatbot capabilities with additional APIs
  • Deployment and Scalability
  • Preparing the chatbot for deployment
    Strategies for scaling the LLM implementation
    Monitoring and maintaining performance
  • Best Practices and Ethical Considerations
  • Ensuring data privacy and security
    Addressing bias in AI chatbot interactions
  • Final Project
  • Building and presenting a complete agentic AI chatbot
    Peer review and collaborative feedback
  • Course Wrap-up
  • Recap of key learnings
    Resources for further learning and exploration

Fachgebiete

Computer Science