LangGraph 101

Start from the basics and learn how LangGraph works with step-by-step guidance. Understand how to create structured AI workflows and connect different components together. Build simple AI agents and practical mini-projects to understand real-world use cases.

  • Understand how to create structured AI workflows and connect different components together.
  • Build simple AI agents and practical mini-projects to understand real-world use cases.

Prabhakaran SPrincipal Data Scientist

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Lessons
9, in 3 chapters
Video
47 min
Free to watch
2 lessons
Certificate
On completion

Course content

3 chapters · 9 lessons · 47 min · 2 free to preview

  1. 01Introduction to LangGraph3 lessons · 14 min
    1. What is LangGraphPreview3:05
    2. Core LangGraphPreview9:54
    3. Download Resources1:00
  2. 02Your First LangGraph Project2 lessons · 20 min
    1. Workflow and Setup14:50
    2. LangFuse4:56
  3. 03LangGraph + Tools Project4 lessons · 15 min
    1. Problem Understanding and Setup4:21
    2. Agents State, Node and Tools4:31
    3. Building the Graph - The ReAct Pattern3:38
    4. ReAct Continued2:05

What you need

  • Basics of Python
  • Foundational knowledge of Data Science
  • High school maths

Who this course is for

  • Data Science Aspirants
  • Data Science Professionals
  • Software/Data engineers interested in quantitative analysis
  • Professionals working with large datasets
  • Data analysts, economists, researchers

Your instructor

Prabhakaran S

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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