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  • 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.


More to explore:

Popular Knowledge Graph Courses and Certifications


  • P

    PracticalGrowth

    Lean Management & Process Flow for Knowledge Work

    Skills you'll gain: Workflow Management, Kanban Principles, Process Mapping, Lean Methodologies, Business Process, Standard Operating Procedure, Process Analysis, Continuous Improvement Process, Process Improvement, Operational Efficiency, Service Level, Performance Metric, Waste Minimization

    Intermediate · Course · 1 - 4 Weeks

  • A

    Alfaisal University | KLD

    إدارة المعرفة | Knowledge Management

    Skills you'll gain: Knowledge Transfer, Information Management, Organizational Strategy, Organizational Structure, Competitive Intelligence, Business Strategy, Content Management, Performance Measurement, Employee Training, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • 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, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Infrastructure, Data Presentation, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Glasgow

    Knowledge-First Social Epistemology

    Skills you'll gain: Media and Communications, Peer Review, Research, Cultural Responsiveness, Social Impact, Social Sciences, Investigation, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Generative AI, Infrastructure As A Service (IaaS), Big Data, Data Analysis, Data Science, Natural Language Processing, Robotics, Business Logic, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Toronto

    Knowledge and Skills for Dementia Care: the SSLD Approach

    Skills you'll gain: Gerontology, Long Term Care, Geriatrics, Caregiving, Nursing Homes, Dignity in Care, Home Health Care, Mental and Behavioral Health, Care Management, Community Development, Substance Abuse, Patient-centered Care, Diversity Awareness, Informed Consent, Behavior Management, Needs Assessment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Building Autonomous AI Agents with LangGraph

    Skills you'll gain: LangGraph, Generative AI Agents, Agentic systems, AI Workflows, OpenAI API, LLM Application, Artificial Intelligence, User Interface (UI), Prompt Engineering, Natural Language Processing, Python Programming, Context Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular knowledge graph courses

  • Lean Management & Process Flow for Knowledge Work: PracticalGrowth
  • إدارة المعرفة | Knowledge Management: Alfaisal University | KLD
  • Generative AI for Data Engineers: IBM
  • Big Data: University of California San Diego
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Knowledge-First Social Epistemology: University of Glasgow
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Key Technologies for Business: IBM
  • Knowledge and Skills for Dementia Care: the SSLD Approach : University of Toronto

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