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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Google Cloud
Preparing for Google Cloud Certification: Cloud Engineer
習得できるスキル： Big Data, Cloud Computing, Cloud Infrastructure, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Contract Management, Data Management, Databases, Distributed Computing Architecture, Entrepreneurship, Google App Engine, Google Cloud Platform, Kubernetes, Leadership and Management, Machine Learning, Network Architecture, Network Model, Network Security, SQL, Security Engineering, Software As A Service, Software Security, Statistical Programming, Strategy and Operations, System Security, Systems Design, Virtual Machine, Web Development
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Intermediate · Professional Certificate
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Preparing for Google Cloud Certification: Cloud Architect
習得できるスキル： Architecture, Big Data, Cloud Computing, Cloud Infrastructure, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Contract Management, Data Management, Databases, DevOps, Distributed Computing Architecture, Entrepreneurship, Google App Engine, Google Cloud Platform, Kubernetes, Leadership and Management, Load Balancing, Machine Learning, Network Architecture, Network Model, Network Security, SQL, Security, Security Engineering, Software As A Service, Software Security, Statistical Programming, Strategy and Operations, System Security, Systems Design, Web Development
4.7
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Intermediate · Professional Certificate
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Data Engineering, Big Data, and Machine Learning on GCP
習得できるスキル： Apache, Applied Machine Learning, Bayesian Statistics, Big Data, Business Psychology, Cloud Computing, Cloud Platforms, Computer Architecture, Computer Networking, Computer Programming, Data Lake, Data Management, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, Full-Stack Web Development, General Statistics, Google Cloud Platform, Hardware Design, Machine Learning, Mathematical Optimization, Network Architecture, Probability & Statistics, Python Programming, Statistical Programming, Web Development
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Google Cloud Digital Leader Training
習得できるスキル： Business Analysis, Business Transformation, Cloud API, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Data Management, Data Warehousing, Databases, Entrepreneurship, Google App Engine, Google Cloud Platform, Innovation, Machine Learning, Research and Design
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Beginner · Professional Certificate
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Preparing for Google Cloud Certification: Machine Learning Engineer
習得できるスキル： Algorithms, Apache, Applied Machine Learning, Bayesian Statistics, Business Analysis, Business Psychology, Cloud Computing, Cloud Platforms, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Model, Data Structures, Deep Learning, DevOps, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
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Intermediate · Professional Certificate
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Google Cloud Fundamentals: Core Infrastructure
習得できるスキル： Cloud Computing, Kubernetes, Big Data, Computer Networking, Distributed Computing Architecture, Computer Architecture, Web Development, Google Cloud Platform, Databases, Cloud Storage, Data Management, Bigquery, Cloud Load Balancing, Google App Engine, Software As A Service, Machine Learning
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Developing APIs with Google Cloud's Apigee API Platform
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Intermediate · Specialization
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Preparing for Google Cloud Certification: Cloud DevOps Engineer
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4.7
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Developing Applications with Google Cloud
習得できるスキル： Application Development, Big Data, Cloud API, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Continuous Delivery, Continuous Integration, Data Management, Databases, Debugging, DevOps, Distributed Computing Architecture, Google App Engine, Google Cloud Platform, Kubernetes, Machine Learning, Natural Language Processing, Operating Systems, Performance, Performance Management, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Strategy and Operations, System Programming, System Security, Theoretical Computer Science, Web Development
4.7
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Customer Experiences with Contact Center AI - Dialogflow CX
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4.4
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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 Digital Leader Training: Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
Google Cloud Fundamentals: Core Infrastructure: Google Cloud
Building Scalable Java Microservices with Spring Boot and Spring Cloud: Google Cloud
Developing APIs with Google Cloud's Apigee API Platform: Google Cloud
Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
Developing Applications with Google Cloud: Google Cloud

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Gcpに関するよくある質問

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.‎