LangGraph Skills you will learn

  • AI Agents amp MultiAgent Systems
  • LangGraph Fundamentals
  • LLM Integration
  • Memory amp Context Handling
  • Prompt Engineering
  • API amp Data Source Integration

Who should learn this free LangGraph course?

  • AI Engineer
  • Machine Learning Engineer
  • NLP Engineer
  • Conversational AI Developer
  • AI Research Scientist
  • Data Scientist

What you will learn in this free LangGraph course?

  • Build AI Agents using LangGraph

    • Introduction

      00:52
      • Introduction
        00:52

    • Lesson 1: AI Agents Overview

      03:13
      • AI Agents Overview
        03:13

    • Lesson 2: Building an AI Agent from Scratch

      23:17
      • Building an AI Agent from Scratch
        23:17

    • Lesson 3: LangGraph Components

      14:52
      • LangGraph Components
        14:52

    • Lesson 4: Integrating Agentic Search Tools

      15:43
      • Integrating Agentic Search Tools
        15:43

    • Lesson 5: Implementing Persistence and Streaming

      16:24
      • Implementing Persistence and Streaming
        16:24

    • Lesson 6: Incorporating Human Feedback in AI Workflows

      21:48
      • Incorporating Human Feedback in AI Workflows
        21:48

    • Lesson 7: Developing an AI-Powered Essay Writing Application

      22:23
      • Developing an AI-Powered Essay Writing Application
        22:23

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn LangGraph?

$826.74 Billion

Expected size of the global AI market by 2030.

$133K+ (USA) | INR 12.4 LPA

Average Salary of an AI Engineer annually.

About the Course

The AI Agents in LangGraph course is designed to help you build and deploy structured, multi-agent AI systems using the LangGraph framework. Learn how to integrate Large Language Models (LLMs), implement memory handling, automate workflows, and enable AI-driven decision-making. This hands-on course covers prompt engineering, API integrations, and real-world AI automation use cases. Whether you're a developer, AI engineer, or automation specialist, this course equips you with the skills to create autonomous AI agents for research, data processing, and int

Read More

Get your team a digital skilling library

with unlimited access to live classes
Know More
digital skilling library

FAQs

  • What is this AI Agents in LangGraph course about?

    This course teaches how to design and deploy AI agents using LangGraph, a framework for building structured, multi-agent AI systems.

  • Who should take this AI Agents in LangGraph course?

    Developers, AI enthusiasts, machine learning engineers, and anyone interested in creating autonomous AI agents.

  • Do I need prior programming experience to take this AI Agents in LangGraph course?

    Yes, basic knowledge of Python and AI concepts is recommended, as the course involves coding and AI agent development.

  • What are AI agents, and why are they important?

    AI agents are autonomous programs that can make decisions, interact with data, and perform tasks based on AI models like GPT-4.

  • What will I learn in this AI Agents in LangGraph course?

    You'll learn to build multi-agent AI workflows, integrate LangGraph with LLMs, handle memory, and enable real-world applications.

  • Will I learn about LangChain in this AI Agents in LangGraph course?

    Yes, since LangGraph is built on LangChain, the course covers integrating both for better AI agent functionality.

  • Can I build AI assistants with LangGraph?

    Absolutely! You’ll learn to create AI-powered autonomous assistants, research agents, and workflow automation systems.

  • Do I get hands-on experience?

    Yes! The course includes practical projects where you’ll design, test, and deploy AI agents using LangGraph.

  • Will I receive a certificate after completing this AI Agents in LangGraph course?

    Yes, you will receive a certificate post successful completion of this course.

  • What career opportunities does this AI Agents in LangGraph course open up?

    You can pursue roles like AI Engineer, AI Solutions Architect, NLP Engineer, and AI Automation Developer.

Related Courses

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.