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Building Stateful Agentic AI with LangGraph and Llama 3

Develop a production-ready Stateful Agentic AI System that remembers, reasons, and deploys tools using LangGraph and Groq. This project involves building a modular application with a Basic Chatbot, a Tool-Augmented Agent, and an AI News Aggregator, emphasizing end-to-end implementation and professional deployment.

10 lectures

What You Will Learn

Mastering LangGraph for creating Stateful Graphs with memory
Implementing Tool Usage & Reasoning in AI agents
Integrating Groq for high-performance LLM inference with Llama 3
Applying Modular Coding Architecture for clean and reusable code
Deploying Streamlit applications to Hugging Face Spaces
Building agents capable of generating and executing code
Understanding state management in AI systems

System Architecture

Building Stateful Agentic AI with LangGraph and Llama 3 Architecture Diagram

High-level architecture overview of the Building Stateful Agentic AI with LangGraph and Llama 3 .

What You'll Build

  • A Basic Chatbot with conversational capabilities
  • A Tool-Augmented Agent capable of writing and executing code (e.g., Snake Game)
  • An AI News Aggregator
  • A modular Python application with professional folder structure
  • A deployed application on Hugging Face Spaces
Building Stateful Agentic AI with LangGraph and Llama 3
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