LangGraph Skills you will learn

  • LangGraph fundamentals
  • Graph Theory
  • Basics Knowledge Graph Construction
  • Semantic Search Techniques
  • Link Prediction and Graph Analytics

Who should learn this free LangGraph course?

  • Data Scientist
  • NLP Engineer
  • Machine Learning Engineer
  • Knowledge Graph Engineer
  • Business Intelligence Analyst

What you will learn in this free LangGraph course?

  • Introduction to LangGraph

    • Introduction

      01:02
      • Introduction
        01:02

    • Lesson 1: What is LangGraph?

      20:21
      • What is LangGraph?
        20:21

    • Lesson 2: Building a Simple Chatbot with LangGraph

      25:13
      • Building a Simple Chatbot with LangGraph
        25:13

    • Lesson 3: How to Create Agents in LangGraph?

      13:36
      • How to Create Agents in LangGraph?
        13:36

    • Lesson 4: Create and Integrate Custom Tools with LLM

      17:40
      • Create and Integrate Custom Tools with LLM
        17:40

    • Lesson 5: How to Use Multiple Agents in LangGraph?

      34:22
      • How to Use Multiple Agents in LangGraph?
        34:22

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Why you should learn LangGraph?

$421.1 Billion

Expected size of the global Machine Learning market by 2030.

$163K+ (USA) | INR 10.3 LPA

Average Salary of a Machine learning Engineer annually.

About the Course

The LangGraph Course introduces the integration of natural language processing (NLP) and graph-based data structures to build intelligent systems. This course covers key topics such as knowledge graph construction, semantic search, and graph-based text classification. Learners will gain practical experience using LangGraph tools and techniques to process and analyze unstructured data, enhancing search and recommendation systems. Ideal for those interested in NLP, AI, and graph theory, the LangGraph course provides a foundational understanding to work with graph-based data and improve mac

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FAQs

  • What is LangGraph?

     LangGraph is a framework designed to help understand and work with natural language processing (NLP) and graph-based data representations for building intelligent systems.

  • What will I learn in this LangGraph course?

     You will learn the fundamentals of LangGraph, including its components, applications, and how to use it for analyzing and processing graph data with natural language tasks.

  • Do I need prior experience in NLP or graph theory to take this LangGraph course?

     While some basic understanding of NLP and graph concepts will help, this course is designed for beginners and provides the foundational knowledge required to start working with LangGraph.
     

  • What are the key applications of LangGraph?

     LangGraph is primarily used for tasks such as knowledge graph building, semantic search, text classification, recommendation systems, and other NLP-based graph applications.

  • What tools and frameworks will I use in this LangGraph course?

    You will work with popular libraries like Python, LangGraph, and other NLP tools to implement and experiment with graph-based NLP applications.

  • How is this LangGraph course structured?

     The course combines theory and practical exercises, providing you with a deep understanding of LangGraph, followed by hands-on projects to apply your knowledge.

  • How long does it take to complete this LangGraph course?

    This Course on Introduction to LangGraph is 2 hours long.
     

  • Will I work on real-world projects in this LangGraph course?

     Yes, the course includes practical projects where you will apply LangGraph to solve real-world problems like building knowledge graphs or working with text-based data.

  • What career roles can this LangGraph course help me pursue?

     This course can open up roles in data science, NLP engineering, machine learning, AI research, and more, especially those focused on natural language processing and graph-based applications.

  • What prerequisites are required for this LangGraph course?

     Basic programming knowledge in Python and an interest in natural language processing or graph theory will help, but the course is suitable for beginners in both areas.

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.