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    Results for "cloud computing"

    • G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Cloud Architecture Design Patterns

      Skills you'll gain: Cloud Computing Architecture, Cloud Infrastructure, Scalability, Cloud Computing, Software Architecture, Cloud Services, Infrastructure As A Service (IaaS), Load Balancing, Serverless Computing, Software Design Patterns, Microservices, Event-Driven Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Linux, Computer Security Incident Management, Database Management, Network Security, Networking Hardware, TCP/IP, Cybersecurity, Intrusion Detection and Prevention, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      75K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      System Administration and IT Infrastructure Services

      Skills you'll gain: Systems Administration, Cloud Infrastructure, IT Infrastructure, Lightweight Directory Access Protocols, Active Directory, Disaster Recovery, Server Administration, Data Storage Technologies, Cloud Computing, Servers, System Configuration, Technical Support and Services, Virtualization, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26K reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Python Programming for Quantum Computing

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Data Processing, Scripting, Software Installation, Development Environment, Jupyter

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Front-End Developer

      Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, Software Architecture, User Centered Design, Cloud-Native Computing, React Redux, NoSQL, Git (Version Control System), GitHub, Webpack, Application Development, MongoDB, React.js, Software Design, Agile Methodology, HTML and CSS, Front-End Web Development, Browser Compatibility, JavaScript Frameworks, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Applied Machine Learning, Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Technical Management, Business Transformation, Containerization, Technology Strategies, Cloud-Native Computing, Multi-Cloud, IT Management, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to cloud computing

    cloud computing basics (cloud 101)
    cloud computing basics
    cloud computing law
    cloud computing foundations
    cloud computing applications, part 2: big data and applications in the cloud
    cloud computing concepts
    cloud computing applications, part 1: cloud systems and infrastructure
    cloud computing and gcp fundamentals
    1…101112…354

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

    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Cloud Architecture Design Patterns: Coursera Instructor Network
    • IBM Cybersecurity Analyst: IBM
    • IBM AI Engineering: IBM
    • Data Science: Johns Hopkins University
    • Data Science: Foundations using R: Johns Hopkins University
    • Machine Learning on Google Cloud: Google Cloud
    • What is Data Science? : IBM
    • System Administration and IT Infrastructure Services: Google
    • Python Programming for Quantum Computing: Packt

    Skills you can learn in Cloud Computing

    Google (31)
    Google Cloud Platform (30)
    Kubernetes (12)
    Application Programming Interfaces (10)
    Microservices (7)
    Internet Of Things (6)
    Cloud Computing Security (5)
    Linux (4)
    Statistical Classification (4)
    Web (4)
    Cybersecurity (3)
    Cryptography (3)

    Frequently Asked Questions about Cloud Computing

    Cloud computing courses on Coursera offer insights and practical skills essential for navigating today's cloud technologies:

    • Fundamental concepts of cloud computing, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
    • Techniques for designing, deploying, and managing cloud solutions using leading platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
    • Skills in cloud security, ensuring data protection and compliance with regulatory standards.
    • Understanding of cloud architecture and best practices for scalable, reliable, and secure cloud deployments.
    • Application of cloud services to enhance business processes through improved scalability and flexibility.
    • Knowledge of automated and virtualized environments that are foundational to cloud technology.
    • Insights into emerging cloud technologies and future trends in cloud computing.‎

    Cloud computing courses on Coursera are structured to accommodate learners at various levels of expertise:

    • Introductory courses are designed for beginners, providing an overview of cloud computing principles and foundational technologies.
    • Intermediate courses delve deeper into specific cloud platforms or services, suitable for learners with some background in IT or cloud basics.
    • Advanced courses cater to IT professionals seeking to specialize in complex cloud architectures or to obtain certifications in specific cloud technologies.‎

    Coursera collaborates with industry leaders to offer a variety of credentials in cloud computing:

    • Professional certificates that can help you demonstrate your cloud computing skills and knowledge.
    • Specialized course certificates that can help validate your proficiency in particular aspects of cloud technologies.
    • Degree programs and professional qualifications that can help prepare you for advanced roles in IT and cloud management. ‎

    Gaining skills in cloud computing through Coursera can help prepare you for numerous tech-focused roles:

    • Cloud Architect: Design and implement cloud solutions that meet specific business needs.
    • Cloud Engineer: Manage and support cloud infrastructure, focusing on systems administration and network operations.
    • DevOps Engineer: Facilitate the deployment and operation of applications in cloud environments.
    • Cloud Security Specialist: Focus on securing cloud services and infrastructure against cyber threats.
    • Cloud Consultant: Provide expertise to organizations transitioning to or optimizing cloud-based systems.‎
    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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