Artificial Intelligence

AI Agent Building Using LangGraph

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Last updated February 2, 2025

About This Course

Description

In this course, you’ll learn how to build powerful AI agents using LangGraph, a framework that enables multi-agent collaboration, decision-making, and dynamic workflows. By leveraging graph-based architectures, you’ll explore how AI agents can plan, communicate, and interact autonomously.

What You'll Learn

Comprehensive curriculum

Practical exercises

Real-world projects

Industry best practices

Course Features

Lifetime Access
Mobile & Desktop Access
Certificate of Completion
Downloadable Resources

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Course Breakdown

2 Sections

Introduction and Setting Up Environment

WebVoyager by He, et. al., is a vision-enabled web-browsing agent capable of controlling the mouse and keyboard.It works by viewing annotated browser screenshots for each turn, then choosing the next step to take. The agent architecture is a basic reasoning and action (ReAct) loop. The unique aspects of this agent are: - It's usage of Set-of-Marks-like image annotations to serve as UI affordances for the agent - It's application in the browser by using tools to control both the mouse and keyboard

Multiple Lessons

Interactive Content

Course Contents

Course Structure

1 chapters

2 sections

Introduction and Setting Up Environment

Duration varies

All Levels

2 sections

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