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  2. Knowledge Graph

Knowledge Graph Courses

Knowledge Graph courses can help you learn data modeling, semantic web principles, and graph database management. You can build skills in entity recognition, relationship mapping, and data integration techniques. Many courses introduce tools like Neo4j and Apache Jena, that support implementing and querying knowledge graphs, enabling you to visualize complex data relationships and enhance AI applications.

Popular Knowledge Graph Courses and Certifications


  • D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Query Languages, Data Storage, Unstructured Data

    4.8 stars, 106 reviews, Intermediate, Project, Less Than 2 Hours

    ★ 4.8 (106) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
  • P

    Packt

    AI Enhancement with Knowledge Graphs - Mastering RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, AI Integrations, Data Processing, Development Environment

    4.9 stars, 10 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.9 (10) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Building AI Agents with LLMs, RAG, and Knowledge Graphs

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), LangChain, AI Orchestration, Natural Language Processing, Generative AI Agents, Agentic Workflows, Multimodal Prompts, AI Integrations, Artificial Intelligence, Agentic systems, Machine Learning Methods, Python Programming, Machine Learning, System Design and Implementation, Data Science

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Database Management Systems, Memory Management, Analysis

    Intermediate · Course · 1 - 3 Months

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  • U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Algorithms

    4.5 stars, 1.1K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.5 (1.1K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • What brings you to Coursera today?

  • P

    Packt

    Building Retrieval-Augmented Systems & Knowledge Graphs

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, AI Integrations, Artificial Intelligence, Taxonomy, Agentic systems, Scalability, Python Programming, System Design and Implementation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, AI Workflows, LLM Application, Agentic Workflows, Agentic systems, Tool Calling, Generative AI Agents, Model Deployment, Large Language Modeling, Artificial Intelligence, Context Management, Data Persistence, Business Logic, Enterprise Architecture, Debugging

    2 stars, 6 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 2 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Content & Knowledge Management

    Skills you'll gain: Technical Documentation, Document Management, Taking Meeting Minutes, Content Management, Knowledge Transfer, Content Development and Management, Content Creation, Usability

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Network Model, Model Training, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Data Infrastructure, Data Presentation, Data Processing, MongoDB

    4.6 stars, 14K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (14K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • S

    Stanford Online

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6 stars, 1.6K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.6 (1.6K) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Tensorflow, Machine Learning Methods, Machine Learning, Debugging, Performance Tuning, Data Preprocessing, Decision Intelligence, AI Product Strategy, Python Programming, Model Evaluation, AI Workflows, Network Architecture, Verification And Validation

    4.8 stars, 147K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.8 (147K) · Intermediate · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • S

    SkillsBooster Academy

    Context Engineering for Beginners

    Skills you'll gain: Context Engineering, Prompt Engineering, ChatGPT, Context Management, Retrieval-Augmented Generation, Gemini, AI Workflows, Generative AI, AI Personalization, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Microsoft Copilot, Workflow Management

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
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Best Knowledge Graph courses from Packt

Top-rated Knowledge Graph courses offered by Packt on Coursera.

  1. 1
    AI Enhancement with Knowledge Graphs - Mastering RAG Systems
    PacktIntermediate1 - 3 Months4.9(10)Packt
  2. 2
    Building AI Agents with LLMs, RAG, and Knowledge Graphs
    PacktIntermediate1 - 3 Months4.0(1)Packt
  3. 3
    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG
    PacktIntermediate1 - 3 Months5.0(2)Packt

Best Knowledge Graph certificate programs

Earn a certificate in Knowledge Graph from top universities and companies.

  1. 1
    Big Data
    University of California San DiegoBeginner3 - 6 Months4.6(13,992)Specialization
  2. 2
    Probabilistic Graphical Models
    Stanford OnlineAdvanced3 - 6 Months4.6(1,552)Specialization
  3. 3
    Deep Learning
    DeepLearning.AIIntermediate3 - 6 Months4.8(147,266)Specialization

Best Knowledge Graph courses for beginners

Top-rated beginner-friendly Knowledge Graph courses with no prerequisites.

  1. 1
    Introduction to Graph Theory
    University of California San DiegoBeginner1 - 3 Months4.5(1,073)No prerequisites
  2. 2
    Context Engineering for Beginners
    SkillsBooster AcademyBeginner1 - 3 Months5.0(4)No prerequisites

Frequently Asked Questions about Knowledge Graph

Careers in the field of knowledge graphs are diverse and growing. Potential job titles include Data Scientist, Knowledge Engineer, Semantic Web Developer, and Business Intelligence Analyst. These roles often involve working with data modeling, machine learning, and natural language processing to create and maintain knowledge graphs that support various business functions.‎

Some of the best online courses for learning about knowledge graphs include specialized programs that focus on data science and AI applications. For instance, the AI for Knowledge Workers course provides insights into how AI can be integrated with knowledge management practices. Exploring various courses can help you find the right fit for your learning goals.‎

Typical topics covered in knowledge graph courses include graph theory, data integration, semantic web technologies, and the practical applications of knowledge graphs in various industries. You may also learn about tools and frameworks used to create and manage knowledge graphs, as well as best practices for data governance and quality."‎

For training and upskilling employees in knowledge graph technologies, courses like the Splunk Knowledge Manager Specialization can be particularly beneficial. These programs are designed to enhance skills relevant to knowledge management and data analytics, making them suitable for workforce development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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