Agentic Architectures with LangGraph

Vanderbilt University | Data Science MS Program

Session Materials

• Slides: Agentic_Architectures_LangGraph.pptx
• Calculator Agent (live demo): calculator_agent.ipynb
• Research Agent (exercise): agent_exercises.ipynb
• Research Agent (solutions): agent_exercises_solutions.ipynb

Setup

pip install langgraph langchain langchain-openai wikipedia

You'll need an OpenAI or Anthropic API key set as an environment variable before running the notebooks.

Topics Covered

1. The road from fine-tuning to agentic AI and when to use each approach
2. LangGraph foundations — state, nodes, edges, tools
3. Agent design patterns — blueprint-first thinking, edge cases, anti-patterns
4. Agent Skills and Model Context Protocol (MCP)
5. Hands-on: building a calculator agent and a research agent