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.

What are the benefits of taking an online Google Cloud Platform (GCP) course?

Online Google Cloud Platform (GCP) courses offer a convenient and flexible way to enhance your knowledge or learn new Google Cloud Platform (GCP) skills. Choose from a wide range of Google Cloud Platform (GCP) courses offered by top universities and industry leaders tailored to various skill levels.

What Google Cloud Platform (GCP) courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Google Cloud Platform (GCP), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Gcp Courses - Learn Gcp Online

Explore the Google Cloud Course Catalog

Google Cloud
Google Cloud Infrastructure for Azure Professionals
Skills you'll gain: Identity and Access Management, Kubernetes, Google Cloud Platform, Virtual Machines, Cloud Applications, Microsoft Azure, Load Balancing, Azure Active Directory, Virtualization and Virtual Machines, Cloud Storage, Public Cloud, Cloud Computing Architecture, Multi-Cloud, Cloud Computing, Cloud Infrastructure, Cloud Engineering, Cloud Management, Virtual Private Networks (VPN), Data Lakes, Application Deployment
4.6
Rating, 4.6 out of 5 stars
247 reviews
Intermediate · Specialization · 1 - 3 Months
Status: [object Object]
Google Cloud
Google Cloud Data Analytics
Skills you'll gain: Data Storytelling, Data Governance, Data Visualization, Data Management, Data Pipelines, Data Visualization Software, Dashboard, Data Lakes, Data Architecture, Cloud Infrastructure, Generative AI, Data Cleansing, Data Transformation, Cloud Computing, Data Access, Cloud Storage, Metadata Management, Data Ethics, Data Analysis, Google Cloud Platform
4.5
Rating, 4.5 out of 5 stars
135 reviews
Beginner · Professional Certificate · 3 - 6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, MLOps (Machine Learning Operations), Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Data Processing, Unstructured Data, Cloud Storage, Applied Machine Learning, Tensorflow, Big Data, Cloud Infrastructure, Database Development, Data Visualization, Extract, Transform, Load, Dashboard
4.4
Rating, 4.4 out of 5 stars
296 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Google Cloud
Introduction to AI and Machine Learning on Google Cloud
Skills you'll gain: Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Solutions, Machine Learning, Data Storage, Natural Language Processing, Image Analysis, Application Programming Interface (API), Automation
4.7
Rating, 4.7 out of 5 stars
195 reviews
Beginner · Course · 1 - 3 Months
Duke University
DevOps, DataOps, MLOps
Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Cloud Development, Google Cloud Platform, Applied Machine Learning, CI/CD, Cloud Computing, Generative AI, Python Programming, Serverless Computing, Application Frameworks, GitHub
4.1
Rating, 4.1 out of 5 stars
152 reviews
Advanced · Course · 1 - 3 Months
Google Cloud
Data Engineering, Big Data and ML on Google Cloud 日本語版
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Unstructured Data, Cloud Storage, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Big Data, Cloud Infrastructure, Data Visualization, Extract, Transform, Load, Dashboard, Data Architecture, Data Processing
4.4
Rating, 4.4 out of 5 stars
289 reviews
Intermediate · Specialization · 3 - 6 Months
Duke University
Cloud Virtualization, Containers and APIs
Skills you'll gain: Cloud-Native Computing, Cloud Platforms, Application Deployment, Microservices, Cloud Computing, DevOps, Kubernetes, Continuous Delivery, Containerization, Amazon Web Services, Serverless Computing, Virtual Machines, Performance Testing, System Monitoring, Docker (Software), Flask (Web Framework), Python Programming
4.4
Rating, 4.4 out of 5 stars
120 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Cloud Data Engineering
Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Software Development, Cloud Computing, Serverless Computing, Data Pipelines, Amazon Web Services, Command-Line Interface, Data Processing, Continuous Integration, Python Programming, Data Governance, NumPy, Unix Commands
4.1
Rating, 4.1 out of 5 stars
80 reviews
Intermediate · Course · 1 - 4 Weeks
Google Cloud
A Tour of Google Cloud Hands-on Labs
Skills you'll gain: Identity and Access Management, Google Cloud Platform, Cloud API, User Accounts, Application Programming Interface (API), Public Cloud, Cloud Services, Role-Based Access Control (RBAC), Cloud Platforms
4.8
Rating, 4.8 out of 5 stars
233 reviews
Beginner · Project · Less Than 2 Hours
Duke University
Cloud Computing Foundations
Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, Technical Documentation, Infrastructure As A Service (IaaS), Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Amazon Web Services, Google Cloud Platform, Platform As A Service (PaaS), GitHub
4.5
Rating, 4.5 out of 5 stars
265 reviews
Beginner · Course · 1 - 3 Months
Google Cloud
Architecting with Google Kubernetes Engine en Español
Skills you'll gain: Kubernetes, Cloud Infrastructure, Cloud Applications, CI/CD, Containerization, Identity and Access Management, Continuous Deployment, Cloud-Native Computing, Infrastructure As A Service (IaaS), Google Cloud Platform, Continuous Delivery, Continuous Integration, Cloud Services, Application Deployment, Google App Engine, Cloud Computing, Cloud Management, Role-Based Access Control (RBAC), Load Balancing, Authorization (Computing)
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
Google Cloud
Optimizing Your Google Cloud Costs 日本語版
Skills you'll gain: Cloud Management, Google Cloud Platform, Cloud Infrastructure, Virtual Machines, Capacity Management, System Monitoring, Performance Tuning
Intermediate · Course · 1 - 4 Weeks