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AI Agent Workflows Using LangGraph

AI Agent Workflows Using LangGraph

Beginner level 2.25 learning hrs

In this Free GLA Course you will discover how LangGraph provides the essential foundation for orchestrating advanced AI agents that don’t just chat, but solve problems.

AI Agent Workflows Using LangGraph

Beginner level 2.25 learning hrs
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Skills you will gain

AI agent fundamentals

Graph‑based workflow design

Agent orchestration patterns

Multi-Agent Orchestration

Real-World Automation & Research

Python development skills

Key Highlights

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Master in-demand skills & tools

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About this course

Transform the way you interact with customer support agents. AI Agents in LangGraph takes you beyond basic chatbots to explore the building concepts behind modern, agentic workflows. You will discover how LangGraph provides the essential foundation for orchestrating advanced AI agents that don’t just chat, but solve problems.This course will explore core agent concepts, demonstrating how a graph-based architecture maps complex, stateful interactions into reusable and dynamic pipelines. Through the lens of LangGraph, you will explore multi-agent coordination and persistent execution patterns designed for real-world automation. By the end of the course, you will be able to structure sophisticated agent behavior using nodes and edges, creating long-running, stateful systems capable of solving the most complex research and automation challenges.

Course outline

AI Agents in LangGraph Fundamentals

This module introduces AI agents and the LangGraph framework, covering how LangGraph works, its architecture for building and orchestrating complex agentic workflows, and practical examples of agent design and execution.

AI Agent Setup and Implementation

This module introduces the Agent initialization and startup process, followed by hands‑on of building AI agent using agent frameworks and Python, covering key setup, design and execution.

LangGraph Multi‑Agent Patterns

This module introduces the concepts in multiple AI agents using LangGraph, explores how graph‑based workflows enable complex, stateful agent collaboration and recaps the key ideas covered in this course.

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AI Agent Workflows Using LangGraph

2.25 Hours

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

Trusted by 10 Million+ Learners globally

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