What You Need to Know Before
You Start

Starts 7 June 2025 00:02

Ends 7 June 2025

00 days
00 hours
00 minutes
00 seconds
course image

Basics of LangGraph Workflows

Master the essentials of LangGraph for AI agent systems, from installation to creating workflows, managing state, and debugging with LangGraph Studio.
via Pluralsight

659 Courses


17 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Trial Available

Optional upgrade avallable

Overview

LangGraph helps you manage the entire lifecycle of AI agent systems. In this course, Basics of LangGraph Workflows, you’ll learn how to configure and use LangGraph.

First, you’ll install LangGraph and create a simple, single-agent workflow. Next, you’ll see how to make information available throughout your workflow using state.

Finally, you’ll learn how to debug and monitor your workflow using LangGraph Studio. When you’re finished with this course you’ll have an understanding of how to use LangGraph with basic workflows and be ready to build more advanced AI agents.

Syllabus

  • **Introduction to LangGraph**
  • Overview of AI agent systems
    Introduction to LangGraph and its capabilities
  • **Installation and Setup**
  • System requirements
    Installing LangGraph
    Setting up your development environment
  • **Creating a Simple Single-Agent Workflow**
  • Understanding agents and tasks in LangGraph
    Creating your first agent
    Configuring a simple workflow
  • **Managing Workflow State**
  • Introduction to workflow state management
    Passing information between tasks
    Using variables and context in workflows
  • **Debugging and Monitoring Workflows**
  • Introduction to LangGraph Studio
    Debugging techniques and best practices
    Monitoring workflow performance and logs
  • **Practical Application and Next Steps**
  • Examples of basic workflows
    Incorporating best practices
    Preparing for advanced LangGraph features
  • **Course Summary**
  • Recap of key concepts
    Where to go next: resources and further learning

Taught by

Craig Golightly


Subjects

Computer Science