Building Agents with LangChain and LangGraph

Building Agents with LangChain and LangGraph

juil. 27, 2024 · The Ubuntu TechHive (Abidjan, Côte d'Ivoire)

Webinar Overview: Building LLM Agents with LangChain and LangGraph

Course Title:

Mastering LLM Agents: From Basics to Building a Travel Agent App with LangChain, LangGraph, and Microsoft Autogen Studio

Course Description:

Join our webinar to learn building Large Language Model (LLM) Agents from basics to advanced applications using LangChain and LangGraph. This hands-on course is ideal for AI enthusiasts, developers, and students. We'll also introduce Microsoft's Autogen Studio to simplify development.

Course Outline:

  1. Introduction to LLM Agents:

    • Overview and applications
    • Basics of LangChain and LangGraph
    • Setting up the development environment
  2. Building Simple LLM Agents:

    • Step-by-step guide
    • Basic examples
    • Incorporating functionalities and tools
  3. Advanced LLM Agent Development:

    • Adding complex functionalities
    • Advanced features using LangChain and LangGraph
    • Best practices for robust, scalable design
  4. Project Showcase: Building a Travel Agent App:

    • Overview of the app
    • Airline, hotel, and Airbnb integration
    • Event recommendations
    • Step-by-step development
  5. Simplifying Development with Microsoft's Autogen Studio:

    • Introduction and building with less code
    • Traditional vs. Autogen Studio development
  6. Capstone Project Demonstration:

    • Live demo of the Travel Agent app
    • Q&A session
    • Future developments discussion

Learning Outcomes:

By the end, participants will:

  • Understand and apply LLM Agents fundamentals
  • Develop LLM Agents using LangChain and LangGraph
  • Build a comprehensive Travel Agent app
  • Use Microsoft's Autogen Studio for streamlined development
  • Apply best practices for scalable projects

Who Should Attend:

  • AI enthusiasts and developers
  • Students and professionals in LLM technology
  • Anyone looking to improve their AI development skills

Requirements:

  • Basic knowledge of AI and programming
  • No prior experience with LangChain or LangGraph needed

Register now to secure your spot and start mastering LLM Agents!

Lieu

meet.google.com/aim-gwzm-fau

Default Venue

123 Main St, Default City

Détails

Durée : 2h

Tags : Python LLMs Agents LangChain LangGraph Human in the loop ReAct (Reason + Act) Self-Refine Flow Engineering Natural language processing Text generation Information retrieval