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Network Courses

Network courses can help you learn network architecture, protocols, security measures, and troubleshooting techniques. You can build skills in configuring routers and switches, managing network traffic, and implementing security policies. Many courses introduce tools like Wireshark for network analysis and Cisco Packet Tracer for simulation, allowing you to practice real-world networking scenarios and understand how different components interact within a network.

Popular Network Courses and Certifications


  • P

    Packt

    AWS Networking, Specialized Services, and Security

    Skills you'll gain: Amazon Web Services, Amazon S3, Network Architecture, Cloud Security, Cloud Computing Architecture, Cloud Storage, Cloud Infrastructure, Virtual Networking, Network Planning And Design, Data Storage, Network Infrastructure, Cloud Computing, Network Administration, Firewall, Network Security, Data Storage Technologies, Hybrid Cloud Computing, Security Management, File Systems, Application Lifecycle Management

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Combinatorics, Data Science, Computer Science, Mathematical Modeling, Mathematical Software, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    961 reviews

    Advanced · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, R (Software), Graphing, Data Analysis, Statistical Analysis, Unsupervised Learning, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Laboratory Research, Statistical Analysis, Image Quality, Advanced Analytics, R Programming, Statistical Methods, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R (Software), R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Software, Statistical Visualization, grep, Data Processing, Graphing, Programming Principles, Data Import/Export, Exploratory Data Analysis, Data Structures, Software Installation, Package and Software Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Architecting with Google Kubernetes Engine

    Skills you'll gain: Kubernetes, Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Containerization, Identity and Access Management, Cloud-Native Computing, Prompt Engineering Tools, Infrastructure As A Service (IaaS), CI/CD, Prompt Patterns, Cloud Platforms, Cloud Storage, Application Deployment, Cloud Management, Cloud Services, Virtual Machines, Scalability, Virtual Networking, Continuous Integration

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Copilot Studio

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, Prompt Patterns, Power Platform Architecture & Technical Design, Microsoft Power Platform, AI Workflows, Agentic Workflows, Generative AI Agents, Performance Tuning, Business Logic, AI Integrations, Agentic systems, Application Deployment, Generative AI, Performance Testing, Scalability, Data Integration, User Feedback

    2
    Rating, 2 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud에서 보안 관리하기

    Skills you'll gain: Identity and Access Management, Cloud Security, Authentications, Cloud Management, Google Cloud Platform, Threat Management, Cloud Computing, Threat Detection, Security Controls, Data Security, Role-Based Access Control (RBAC), User Provisioning, Virtual Networking, Network Security, Firewall, Authorization (Computing), Single Sign-On (SSO), Data Access, Load Balancing

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    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, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular network courses

  • AWS Networking, Specialized Services, and Security: Packt
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Exploratory Data Analysis: Johns Hopkins University
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
  • Architecting with Google Kubernetes Engine: Google Cloud
  • Copilot Studio: Coursera
  • Google Cloud에서 보안 관리하기: Google Cloud
  • AI for Medicine: DeepLearning.AI
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI

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