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.

浏览
Gcp

筛选依据

''gcp'的 471 个结果

Google Cloud
Preparing for Google Cloud Certification: Cloud Engineer
您将获得的技能： Cloud Computing, Google Cloud Platform, Web Development, Full-Stack Web Development, Information Technology, Cloud Storage, Computer Architecture, Cloud Load Balancing, Kubernetes, Computer Networking, Cloud Engineering, Cloud Infrastructure, Cloud Management, Cloud Platforms, Distributed Computing Architecture, Google App Engine, Network Architecture, Systems Design, Cloud Applications, Cloud-Based Integration, Data Management, Databases, Operations Management, Other Cloud Platforms and Tools, SQL, Software As A Service, Strategy and Operations, Big Data, Contract Management, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Machine Learning Software, Network Model, Network Security, Security Engineering, Software Security, Statistical Programming, System Security
4.7
（56.6k 条评论）
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Architect
您将获得的技能： Cloud Computing, Google Cloud Platform, Cloud Platforms, Web Development, Cloud Applications, Cloud Storage, Cloud Load Balancing, Full-Stack Web Development, Information Technology, Computer Networking, Computer Architecture, Kubernetes, Cloud Infrastructure, Cloud Management, Strategy and Operations, Distributed Computing Architecture, Security Engineering, Cloud Engineering, Network Security, Project Management, Cloud-Based Integration, Google App Engine, Network Architecture, Systems Design, Billing & Invoicing, Change Management, Computer Security Models, Data Management, Databases, DevOps, Finance, Leadership and Management, Other Cloud Platforms and Tools, SQL, Software Engineering, Software Testing, Cyberattacks, Operations Management, Software As A Service, Big Data, Contract Management, Entrepreneurship, Extract, Transform, Load, Machine Learning Software, Network Model, Software Security, Statistical Programming, System Security
4.7
（56.8k 条评论）
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
您将获得的技能： Cloud Computing, Data Management, Computer Architecture, Cloud Platforms, Google Cloud Platform, Big Data, Distributed Computing Architecture, Machine Learning, SQL, Apache, Data Science, Hardware Design, Extract, Transform, Load, Cloud Storage, Full-Stack Web Development, Web Development, Databases, Information Technology, Python Programming, Statistical Programming, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Applied Machine Learning, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
4.6
（17.4k 条评论）
Intermediate · Specialization · 3-6 Months
Google Cloud
Google Cloud Database Engineer
您将获得的技能： Cloud Computing, Data Management, Statistical Programming, Databases, Web Development, Full-Stack Web Development, Google Cloud Platform, Computer Architecture, Distributed Computing Architecture, Cloud Infrastructure, Cloud Storage, Database Administration, Google App Engine, Operations Management, Strategy and Operations, Amazon Web Services, Cloud Load Balancing, Cloud Platforms, Kubernetes, Software As A Service, Big Data, Cloud API, Cloud Applications, Cloud Engineering, Computer Networking, Computer Programming, Computer Programming Tools, Data Analysis, Extract, Transform, Load, Machine Learning Software, Network Model, PostgreSQL, Project Management
4.7
（46.8k 条评论）
Intermediate · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud DevOps Engineer
您将获得的技能： Cloud Computing, Google Cloud Platform, Leadership and Management, DevOps, Communication, Web Development, Cloud-Based Integration, Collaboration, Kubernetes, Full-Stack Web Development, Cloud Applications, Strategy and Operations, Computer Architecture, Design and Product, Entrepreneurship, Product Development, Product Management, Cloud Storage, Operations Management, Cloud Load Balancing, Continuous Delivery, Devops Tools, Human Resources, Leadership Development, Research and Design, Cloud Infrastructure, Distributed Computing Architecture, Software Architecture, Software Engineering, Theoretical Computer Science, Google App Engine, Business Psychology, Continuous Integration, Emotional Intelligence, Human Computer Interaction, Problem Solving, Product Design, Recruitment, Software Engineering Tools, Talent Management, User Experience, User Experience Design, Accounting, Cloud Engineering, Cloud Management, Cloud Platforms, Computational Thinking, Computer Programming, Cyberattacks, Security Engineering, Software As A Service, Software Testing, Big Data, Billing & Invoicing, Computer Networking, Data Management, Databases, Extract, Transform, Load, Finance, Machine Learning Software, Network Architecture, Network Model
4.7
（51.9k 条评论）
Beginner · Professional Certificate · 3-6 Months
Google Cloud
Google Cloud Digital Leader Training
您将获得的技能： Cloud Computing, Cloud Infrastructure, Google Cloud Platform, Cloud Platforms, Data Management, Computer Networking, Applied Machine Learning, Cloud API, Cloud Storage, Computational Logic, Data Warehousing, Databases, Google App Engine, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Model, Project Management, Software As A Service, Strategy and Operations, Theoretical Computer Science, DevOps, Leadership and Management, Network Security, Security Engineering, Security Strategy, Business Analysis, Business Transformation, Entrepreneurship, Innovation, Research and Design
4.7
（3.1k 条评论）
Beginner · Professional Certificate · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer
您将获得的技能： Machine Learning, Cloud Computing, Google Cloud Platform, Computer Programming, Cloud Platforms, Statistical Programming, Python Programming, Data Management, Applied Machine Learning, Feature Engineering, Tensorflow, Deep Learning, Entrepreneurship, Probability & Statistics, DevOps, Data Analysis, Big Data, Artificial Neural Networks, Business Psychology, Computer Architecture, Exploratory Data Analysis, Regression, Theoretical Computer Science, Data Science, Kubernetes, Apache, Basic Descriptive Statistics, Bayesian Statistics, Computational Thinking, Computer Networking, Data Model, Data Structures, Data Visualization, Distributed Computing Architecture, Extract, Transform, Load, General Statistics, Hardware Design, Machine Learning Algorithms, Machine Learning Software, Network Security, Performance Management, SQL, Security Engineering, Security Strategy, Statistical Machine Learning, Statistical Visualization, Strategy and Operations, Algorithms, Business Analysis, Cloud Applications, Cloud Infrastructure, Cloud Storage, Data Analysis Software, Data Architecture, Data Warehousing, Database Application, Databases, Dimensionality Reduction, Full-Stack Web Development, Information Technology, Natural Language Processing, Statistical Analysis, Web Development
4.6
（25k 条评论）
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Google Cloud Fundamentals: Core Infrastructure
您将获得的技能： Cloud Computing, Web Development, Full-Stack Web Development, Computer Architecture, Distributed Computing Architecture, Cloud Infrastructure, Cloud Storage, Google App Engine, Google Cloud Platform, Cloud Load Balancing, Kubernetes, Operations Management, Software As A Service, Strategy and Operations, Big Data, Cloud Applications, Cloud Engineering, Computer Networking, Data Management, Databases, Extract, Transform, Load, Machine Learning Software, Network Model
4.7
（46.6k 条评论）
Beginner · Course · 1-3 Months
Google Cloud
Organizational Change and Culture for Adopting Google Cloud
您将获得的技能： Leadership and Management, Cloud Computing, Entrepreneurship, Research and Design, Strategy and Operations, Business Analysis, Business Transformation, Cloud Standards, Communication, DevOps, Innovation, Change Management, Collaboration, Small Data, Design and Product, Product Development, Product Management, Google Cloud Platform, Business Psychology, Continuous Delivery, Devops Tools, Human Resources, Leadership Development, Operations Management, Cloud API, Cloud Infrastructure, Cloud Platforms, Google App Engine, Computer Security Incident Management, Continuous Integration, Culture, Emotional Intelligence, Human Computer Interaction, Problem Solving, Product Design, Recruitment, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Software Engineering Tools, Talent Management, User Experience, User Experience Design, Sales, Software Testing, Theoretical Computer Science
4.7
（3.3k 条评论）
Beginner · Specialization · 3-6 Months
Google Cloud
Digital Transformation Using AI/ML with Google Cloud
您将获得的技能： Cloud Computing, Machine Learning, Applied Machine Learning, Business Analysis, Business Transformation, Cloud Standards, Computer Science, Entrepreneurship, Google Cloud Platform, Innovation, Research and Design, Small Data, Data Science, Information Technology, Machine Learning Software, Statistical Programming, Cloud API, Cloud Infrastructure, Cloud Platforms, Google App Engine, Python Programming, Business Psychology, Computer Security Incident Management, Culture, Leadership and Management, Security Engineering, Security Strategy, Computer Vision, Machine Learning Algorithms, Natural Language Processing, SQL, Algorithms, Business Intelligence, Cloud Storage, Data Warehousing, Human Resources, Leadership Development, Strategy, Strategy and Operations, Theoretical Computer Science
4.7
（6.1k 条评论）
Beginner · Specialization · 3-6 Months

building batch data pipelines on gcp en français

building batch data pipelines on gcp en español

building batch data pipelines on gcp em português brasileiro

building resilient streaming systems on gcp em português brasileiro

building batch data pipelines on gcp 日本語版

building resilient streaming analytics systems on gcp en français

building resilient streaming analytics systems on gcp em português brasileiro

总之，这是我们最受欢迎的 gcp 门课程中的 10 门

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 Database Engineer: Google Cloud
Preparing for Google Cloud Certification: Cloud DevOps Engineer: 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
Organizational Change and Culture for Adopting Google Cloud: Google Cloud
Intel Telco Cloud Transformation: Intel

您可以在 Cloud Computing 中学到的技能

关于 Gcp 的常见问题

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.‎