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온라인 학위경력 찾기기업용 Coursera대학교용
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    • Gcp
    Related topics:Google분산 컴퓨팅보안 수료증Kubernetesqwiklabs애플리케이션 보안

    필터링 기준

    "gcp"에 대한 263개의 결과

    • Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Engineer

      획득할 기술: Big Data, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Contract Management, Data Management, Databases, Entrepreneurship, Google App Engine, Google Cloud Platform, Kubernetes, Machine Learning, Network Architecture, Network Model, Network Security, Security Engineering, Software As A Service, Software Security, Strategy and Operations, System Security, Systems Design

      4.7

      (53.8k개의 검토)

      Intermediate · Professional Certificate · 3+ Months

    • Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect

      획득할 기술: Big Data, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Contract Management, Data Management, Databases, DevOps, Entrepreneurship, Google App Engine, Google Cloud Platform, Kubernetes, Machine Learning, Network Architecture, Network Model, Network Security, Security Engineering, Software As A Service, Software Security, Strategy and Operations, System Security, Systems Design

      4.7

      (54.2k개의 검토)

      Intermediate · Professional Certificate · 3+ Months

    • Google Cloud

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      획득할 기술: Apache, Applied Machine Learning, Big Data, Bigquery, Cloud Computing, Cloud Storage, Computer Architecture, Computer Programming, Data Lake, Data Management, Databases, Dataflow, Deep Learning, Distributed Computing Architecture, Feature Engineering, Full-Stack Web Development, Google Cloud Platform, Hardware Design, Machine Learning, Python Programming, Statistical Programming, Web Development

      4.6

      (16.4k개의 검토)

      Intermediate · Specialization · 3+ Months

    • Google Cloud

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure

      획득할 기술: Big Data, Cloud Storage, Computer Networking, Software As A Service, Kubernetes, Cloud Load Balancing, Cloud Platforms, Google App Engine, Machine Learning, Databases, Cloud Computing, Google Cloud Platform, Data Management

      4.7

      (44.5k개의 검토)

      Beginner · Course · 1-3 Months

    • Google Cloud

      Google Cloud

      Google Cloud Digital Leader Training

      획득할 기술: Business Analysis, Business Transformation, Cloud API, Cloud Computing, Cloud Computing Security, Cloud Platforms, Data Management, Data Warehousing, Entrepreneurship, Google Cloud Platform, Innovation, Leadership and Management, Machine Learning, Research and Design, Security

      4.7

      (2.2k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    • Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      획득할 기술: Agile Software Development, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Bigquery, Business Psychology, Cloud API, Cloud Computing, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Databases, Deep Learning, DevOps, Distributed Computing Architecture, Econometrics, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Full-Stack Web Development, General Statistics, Geostatistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Machine Learning Algorithms, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science, Web Development

      4.6

      (23.9k개의 검토)

      Intermediate · Professional Certificate · 3+ Months

    • Placeholder
      Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      획득할 기술: Accounting, Big Data, Billing & Invoicing, Business Psychology, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Communication, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Continuous Integration, Data Management, Databases, DevOps, Entrepreneurship, Finance, Google App Engine, Google Cloud Platform, Kubernetes, Leadership and Management, Machine Learning, Network Architecture, Network Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Testing, Strategy and Operations, Theoretical Computer Science

      4.7

      (49.5k개의 검토)

      Beginner · Professional Certificate · 3+ Months

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      Google

      Google

      Google IT Automation with Python

      획득할 기술: Application Development, Bash (Unix Shell), Cloud Computing, Cloud Platforms, Computational Thinking, Computer Programming, Data Structures, Debugging, Github, Google Cloud Platform, Other Programming Languages, Programming Principles, Python Programming, Software Engineering, Software Engineering Tools, Software Testing, Statistical Programming, Theoretical Computer Science, Troubleshooting, Unix Shells

      4.7

      (29.8k개의 검토)

      Beginner · Professional Certificate · 3+ Months

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      Google Cloud

      Google Cloud

      Machine Learning on Google Cloud

      획득할 기술: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Psychology, Cloud API, Cloud Computing, Computational Thinking, Computer Architecture, Computer Programming, Data Management, Data Structures, Deep Learning, Econometrics, Entrepreneurship, Extract, Transform, Load, Feature Engineering, General Statistics, Geostatistics, Google Cloud Platform, Hardware Design, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Tensorflow, Theoretical Computer Science

      4.5

      (9.1k개의 검토)

      Intermediate · Specialization · 3+ Months

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      Google Cloud

      Google Cloud

      Developing Applications with Google Cloud

      획득할 기술: Application Programming Interfaces, Big Data, Cloud API, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Integration, Data Management, Databases, DevOps, Distributed Computing Architecture, Google App Engine, Google Cloud Platform, Kubernetes, Machine Learning, Operating Systems, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (45.3k개의 검토)

      Intermediate · Specialization · 3+ Months

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      Google Cloud

      Google Cloud

      Serverless Data Processing with Dataflow

      획득할 기술: Apache, Big Data, Cloud Computing, Cloud Platforms, Computational Thinking, Computer Architecture, Computer Programming, Data Management, Distributed Computing Architecture, Extract, Transform, Load, Google Cloud Platform, Hardware Design, Metadata, Python Programming, Statistical Programming, Theoretical Computer Science

      4.0

      (60개의 검토)

      Intermediate · Specialization · 3+ Months

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      Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Network Engineer

      획득할 기술: Big Data, Billing & Invoicing, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Networking, Data Management, Databases, Finance, Google App Engine, Google Cloud Platform, Kubernetes, Load Balancing, Machine Learning, Mathematics, Network Analysis, Network Security, Operations Research, Ordered Pair, Security Engineering, Software As A Service, Systems Design, Theoretical Computer Science

      4.7

      (45.2k개의 검토)

      Intermediate · Professional Certificate · 3+ Months

    gcp과(와) 관련된 검색

    building batch data pipelines on gcp
    recommendation systems with tensorflow on gcp
    image understanding with tensorflow on gcp
    getting started with blockchain on gcp using hyperledger fabric and composer
    introduction to trading, machine learning & gcp
    building batch data pipelines on gcp 日本語版
    building batch data pipelines on gcp em português brasileiro
    building batch data pipelines on gcp en español
    1234…22

    요약하자면, 여기에 가장 인기 있는 gcp 강좌 10개가 있습니다.

    • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
    • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Google Cloud Fundamentals: Core Infrastructure: Google Cloud
    • Google Cloud Digital Leader Training: Google Cloud
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
    • Google IT Automation with Python: Google
    • Machine Learning on Google Cloud: Google Cloud
    • Developing Applications with Google Cloud: Google Cloud

    Cloud Computing에서 학습할 수 있는 스킬

    Google (31)
    Google Cloud Platform (30)
    Kubernetes (12)
    애플리케이션 프로그래밍 인터페이스 (10)
    마이크로서비스 (7)
    사물 인터넷 (6)
    클라우드 컴퓨팅 보안 (5)
    Linux (4)
    통계 분류 (4)
    웹 (4)
    사이버 보안 (3)
    암호화 (3)

    Gcp에 대한 자주 묻는 질문

    • GCP is an acronym for Google Cloud Platform. This is Google's platform of computing services that are run on the public internet cloud. The platform offers companies and organizations a wide variety of hosting services, data storage warehousing, application development tools, and other IT services that run on Google hardware. Using Google Cloud Platform helps IT professionals better manage their projects for networking solutions, data storage capabilities for big data, and machine learning opportunities, along with various developer, security, and cloud management tools.‎

    • When you learn about GCP, you will understand and be able to apply the key aspects of application development, data management, and hardware and software integration services as they relate to the Google Cloud Platform. You may also get deeper knowledge into GCP and learn about other parts of the Google Cloud Platform, including Google Cloud Storage, which holds large, unstructured data sets in its cloud storage platform; Google Compute Engine, which gives users access to virtual machine hosting in its infrastructure as a service; and Google App Engine, which provides services in the cloud to software developers for application access to the scalable hosting services offered by Google.‎

    • When you learn Google Cloud Platform, the typical opportunities that can arise for you will be in cloud development positions, including customer engineer, cloud infrastructure developer, cloud infrastructure architect, technical account manager, and enterprise systems architect. You can find these roles in companies that contract with the Google Cloud Platform or outside of the tech industry in other areas like healthcare, manufacturing, retail, government, and more. As you grow your knowledge of GCP, you can grow your career opportunities on a regional, national, or global basis, working for Google or another large networking outfit.‎

    • Taking online courses about GCP on Coursera can help you learn the basics of Google's cloud computing platform, which includes how to build data processing systems using the platform, analyzing streaming data using Cloud Dataflow, and designing computer architectures for data processing. If you are a developer and take these online courses, you may be able to use different parts of the Google Cloud Platform to create and maintain machine learning and statistical models and extract, load, transform, and validate data in all of the software projects you work on.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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