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 .

Google Cloud Online Courses | Coursera Learn Online

Explore the Google Cloud Course Catalog

Status: Free Trial
Google Cloud
Google Cloud Fundamentals: Core Infrastructure
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Containerization, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Cloud Computing, Application Development, Generative AI Agents, Network Infrastructure, Serverless Computing, Scalability
4.7
Rating, 4.7 out of 5 stars
49K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
LearnKartS
GCP Professional Architect
Skills you'll gain: Site Reliability Engineering, Infrastructure as Code (IaC), Google Cloud Platform, Application Deployment, Cloud Services, Cloud Computing Architecture, Identity and Access Management, Google App Engine, Kubernetes, CI/CD, Cloud Management, Cloud Storage, Real Time Data, Cloud Infrastructure, Cloud Solutions, Load Balancing, Cloud Computing, Big Data, Network Monitoring, Cloud Security
4.9
Rating, 4.9 out of 5 stars
11 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software
4.6
Rating, 4.6 out of 5 stars
18K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Engineer
Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Terraform, Cloud Computing Architecture, Cloud Management, Cloud Services, Load Balancing, Cloud Engineering, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Data Storage Technologies, Cloud Computing, Docker (Software)
4.7
Rating, 4.7 out of 5 stars
59K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data
4.6
Rating, 4.6 out of 5 stars
19K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
Google Cloud
Generative AI Leader
Skills you'll gain: Prompt Engineering, Generative AI Agents, Google Gemini, Responsible AI, Generative AI, Google Cloud Platform, AI Product Strategy, Google Workspace, Productivity Software, Tool Calling, Business Leadership, LLM Application, Large Language Modeling, Data Governance, Artificial Intelligence, Cloud Infrastructure, Information Privacy, Organizational Strategy, Cloud Computing, Collaboration
4.7
Rating, 4.7 out of 5 stars
355 reviews
Beginner · Professional Certificate · 3 - 6 Months

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Status: Free Trial
Google Cloud
Google Cloud Digital Leader Training
Skills you'll gain: Cloud Management, Serverless Computing, Google Cloud Platform, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Cloud Infrastructure, Data Strategy, Application Programming Interface (API), Cloud Solutions, Real Time Data, Business Transformation, Data Management, Hybrid Cloud Computing, Data Warehousing, Artificial Intelligence, Responsible AI, Data Security
4.8
Rating, 4.8 out of 5 stars
4.7K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
Google Cloud
Google Cloud AI Infrastructure
Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Developer
Skills you'll gain: Google Gemini, Cloud Applications, Google Cloud Platform, Containerization, Cloud Infrastructure, Application Deployment, Prompt Engineering, CI/CD, Kubernetes, Cloud Development, Microservices, Docker (Software), Application Development, Serverless Computing, Identity and Access Management, Cloud Services, Virtual Machines, Cloud Computing, Cloud Storage, Debugging
4.7
Rating, 4.7 out of 5 stars
49K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google Cloud
Architecting with Google Kubernetes Engine
Skills you'll gain: Kubernetes, Identity and Access Management, Cloud-Native Computing, Google Cloud Platform, CI/CD, Containerization, Application Deployment, Cloud Management, Scalability, Cloud Computing, Cloud Infrastructure, Load Balancing, Continuous Integration, DevOps, Continuous Delivery, YAML, Data Storage, Cloud Security, Cloud Services, Application Performance Management
4.6
Rating, 4.6 out of 5 stars
5.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Architect
Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Terraform, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Network Planning And Design
4.7
Rating, 4.7 out of 5 stars
59K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Data Pipelines, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Machine Learning, Cloud Computing
4.4
Rating, 4.4 out of 5 stars
4.9K reviews
Intermediate · Professional Certificate · 3 - 6 Months