Knowledge Graphs Skills you will learn

  • Fundamentals of Knowledge Graphs
  • Large Language Models LLMs Integration
  • Graph Database Querying
  • Entity Extraction amp Relationship Mapping
  • Semantic Search amp Contextual Retrieval
  • Prompt Engineering for Knowledge Graphs

Who should learn this free Knowledge Graphs course?

  • AI Engineer
  • Knowledge Engineer
  • Semantic Search Specialist
  • NLP Engineer
  • Graph Database Developer
  • Conversational AI Developer

What you will learn in this free Knowledge Graphs course?

  • Knowledge Graphs with LLMs

    • Introduction

      00:49
      • Introduction
        00:49

    • Lesson 1: Introduction to Knowledge Graphs

      08:21
      • Introduction to Knowledge Graphs
        08:21

    • Lesson 2: Search and Retrieve Information from Knowledge Graphs

      24:54
      • Search and Retrieve Information from Knowledge Graphs
        24:54

    • Lesson 3: Optimizing Text Data for RAG

      14:34
      • Optimizing Text Data for RAG
        14:34

    • Lesson 4: Building a Knowledge Graph From Unstructured Data

      31:09
      • Building a Knowledge Graph From Unstructured Data
        31:09

    • Lesson 5: Expanding Connections in SEC Graph

      17:18
      • Expanding Connections in SEC Graph
        17:18

    • Lesson 6: Scaling and Enhancing SEC Knowledge Graph

      19:27
      • Scaling and Enhancing SEC Knowledge Graph
        19:27

    • Lesson 7: Interacting with Knowledge Graph using AI

      14:01
      • Interacting with Knowledge Graph using AI
        14:01

Get a Completion Certificate

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

Why you should learn Knowledge Graphs?

$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 Knowledge Graphs with LLMs course explores how to combine Large Language Models (LLMs) with knowledge graphs to improve AI reasoning, data retrieval, and semantic search. Learn to build, query, and maintain knowledge graphs, and understand how LLMs can enhance AI applications by providing structured data for more accurate, context-aware results. This course covers real-world applications in finance, healthcare, and search engines, equipping you with the skills to create smarter, data-driven AI systems.

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FAQs

  • What is the Knowledge Graphs with LLMs course about?

    This course teaches how to integrate Large Language Models (LLMs) with knowledge graphs to enhance AI-driven data structuring, retrieval, and reasoning.

  • Who should take this Knowledge Graphs with LLMs course?

    Data scientists, AI developers, knowledge engineers, and researchers interested in semantic search, AI-powered reasoning, and structured data representation.

  • Do I need prior experience in AI or knowledge graphs to take this Knowledge Graphs with LLMs course?

    Basic knowledge of machine learning, NLP, and graph databases is recommended but not mandatory.

  • What are knowledge graphs, and why are they important?

    Knowledge graphs represent structured relationships between entities, improving AI reasoning, search accuracy, and data retrieval.

  • How do LLMs and knowledge graphs work together?

    LLMs enhance knowledge graphs by extracting insights from unstructured data, while knowledge graphs provide structured context for more reliable AI responses.

  • Will I learn to create and query knowledge graphs in this Knowledge Graphs with LLMs course?

    Yes! The course covers building, querying, and optimizing knowledge graphs using LLMs and graph databases like Neo4j.

  • Can knowledge graphs improve AI-generated responses?

    Absolutely! They enable AI to retrieve precise, context-aware information instead of relying solely on pre-trained model data.

  • Will this Knowledge Graphs with LLMs course cover real-world applications?

    Yes, you’ll explore use cases in finance, healthcare, search engines, and AI-powered chatbots.

  • Do I get hands-on experience?

    Yes! You’ll work on practical projects to build knowledge graphs, integrate them with LLMs, and optimize retrieval systems.

  • What career opportunities does this Knowledge Graphs with LLMs course open up?

    You can pursue roles such as Knowledge Engineer, AI Researcher, Data Scientist, Semantic Search Specialist, and AI Solutions Architect.

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.