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Edge Computing Courses

Edge computing courses can help you learn data processing at the network's edge, real-time analytics, and distributed systems. You can build skills in optimizing latency, enhancing data security, and deploying edge devices effectively. Many courses introduce tools like AWS IoT Greengrass, Microsoft Azure IoT Edge, and Kubernetes, that support managing edge applications and integrating AI capabilities. You'll also explore key topics such as edge architecture, device management, and the role of edge computing in IoT solutions.


Popular Edge Computing Courses and Certifications


  • C

    Coursera

    Notion for Beginners: Intro to AI Marketing Template Mastery

    Skills you'll gain: Marketing Automation, Campaign Planning, Marketing Planning, AI Enablement, Marketing Strategies, Marketing, Campaign Management, ChatGPT, Database Management, Automation, Project Planning, Artificial Intelligence

    ★ 4.8 (22) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Pearson

    The Pearson Complete Course for CISM Certification

    Skills you'll gain: Computer Security Incident Management, Threat Modeling, Security Management, Risk Management, Business Continuity Planning, Disaster Recovery, Governance, Business Continuity, Application Security, Information Management, Risk Appetite, Security Controls, Continuous Monitoring, Configuration Management, Regulatory Compliance, Governance Risk Management and Compliance, Law, Regulation, and Compliance, Cybersecurity, Cloud Computing, Malware Protection

    ★ 4.5 (10) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Maryland, College Park

    AI Applications in Accounting and Finance

    Skills you'll gain: Unstructured Data, Applied Machine Learning, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Machine Learning, Social Media Analytics, AI Integrations, Data-Driven Decision-Making, Natural Language Processing, Model Evaluation

    ★ 4.7 (7) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Integrate Generative AI Into Your Data Workflow

    Skills you'll gain: Generative AI, Data Analysis, Model Training, Data-Driven Marketing, Customer Relationship Management (CRM) Software, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Data Science, Data Processing, Prompt Engineering

    ★ 4.2 (13) · Beginner · Specialization · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Quantitative Research Methods: Tools for Data Analysis

    Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Descriptive Analytics, Research Methodologies, Statistical Methods, R (Software), Research, R Programming, Data Collection, Research Reports, Correlation Analysis, Data Ethics

    ★ 4.5 (17) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

    Skills you'll gain: Data Import/Export, Data Visualization Software, Cloud Deployment, Data Visualization, Restful API, Data Mapping, Data Presentation, Interactive Data Visualization, Extract, Transform, Load, Dashboard Creation, Histogram, Data Store, Data Transformation, Amazon Web Services, Cloud Hosting, Scalability, Cloud Management, System Monitoring, Data Management, Query Languages

    ★ 4.4 (16) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • F

    Fundação Instituto de Administração

    Ciência de Dados para Finanças

    Skills you'll gain: Big Data, R (Software), Data Mining, Data-Driven Decision-Making, Data Visualization, Data Strategy, FinTech, Data Engineering, Data Visualization Software, Plot (Graphics), Deep Learning, Machine Learning Methods, R Programming, Predictive Analytics, Analytics, Applied Machine Learning, Data Science, Financial Market, Data Analysis, Digital Transformation

    ★ 4.3 (91) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    ★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Clemson University

    Design and Analysis of Algorithms

    Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science, Probability, Program Development, Probability Distribution, Design Strategies, Analysis

    ★ 4.2 (36) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • U

    Universidad de los Andes

    Plataformas para procesar datos no tradicionales​

    Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Geospatial Information and Technology, Big Data, MongoDB, GIS Software, Data Infrastructure, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Computing Architecture, Cloud Platforms, Database Systems, Scalability, Databases

    ★ 3.9 (13) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    AWS Certified AI Practitioner (AIF-C01)

    Skills you'll gain: Responsible AI, Model Deployment, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Generative AI, Amazon Bedrock, Prompt Engineering, AWS SageMaker, Generative Model Architectures, Artificial Intelligence, Data Ethics, AI Enablement, Prompt Patterns, Application Deployment, AI Integrations, AI literacy, Large Language Modeling, Model Training, Amazon Web Services

    ★ 4.6 (20) · Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
1…160161162…468

In summary, here are 10 of our most popular edge computing courses

  • Notion for Beginners: Intro to AI Marketing Template Mastery: Coursera
  • The Pearson Complete Course for CISM Certification: Pearson
  • AI Applications in Accounting and Finance: University of Maryland, College Park
  • Integrate Generative AI Into Your Data Workflow: Google Cloud
  • Quantitative Research Methods: Tools for Data Analysis: Coursera
  • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt
  • Explainable Machine Learning (XAI): Duke University
  • Ciência de Dados para Finanças: Fundação Instituto de Administração
  • Using probability distributions for real world problems in R: Coursera
  • Design and Analysis of Algorithms: Clemson University

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