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.

Why is it important to learn GCP?

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.

What career opportunities can arise from learning GCP?

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.

How can taking online courses on Coursera help me learn GCP?

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.

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Gcp

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"gcp"에 대한 263개의 결과

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
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
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 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
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
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
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
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
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
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
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

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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

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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.‎