Agentic-AI-Tutorial

What it does

Agentic-AI-Tutorial is an educational resource that guides developers through building autonomous AI agent systems. It covers the full spectrum from foundational LLM interactions to sophisticated multi-node agent architectures that can reason about problems, create plans, and execute real tools and APIs.

How to set up

Access the tutorial via GitHub repository. Clone or download the repository to your local machine. Follow the step-by-step guides provided in the documentation, which progress from basic examples to advanced implementations. Install required dependencies including LangGraph, LangChain, and MCP libraries as outlined in the setup instructions.

Key features

• Progressive learning path from basic LLM calls to complex agentic systems
• Multi-node agent architecture examples
• Integration with LangGraph for workflow orchestration
• MCP (Model Context Protocol) implementation patterns
• Tool integration and real-world API usage examples
• Reasoning and planning demonstrations
• Hands-on code examples and tutorials