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

Status: Free

Google Cloud

Introduction to Large Language Models - 简体中文

Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Performance Tuning, Natural Language Processing

Status: Free

Google Cloud

Configuring IAM Permissions with gCloud - Azure

Skills you'll gain: Identity and Access Management, Command-Line Interface, Cloud Management, Cloud Computing, User Accounts, Authorization (Computing), Google Cloud Platform, Role-Based Access Control (RBAC), Software Installation

Google Cloud

Networking in Google Cloud: Network Architecture

Skills you'll gain: Network Architecture, Network Planning And Design, Cloud Computing Architecture, Network Infrastructure, Google Cloud Platform, General Networking, Network Security, Network Troubleshooting, Network Analysis, Firewall, Load Balancing, Network Performance Management, Scalability

Google Cloud

Google AppSheet: Getting Started

Skills you'll gain: Google Workspace, Data Entry, Cloud Applications, Google Cloud Platform, Data Maintenance, Data Validation, Web Applications

Google Cloud

Production Machine Learning Systems - Español

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Cloud Computing Architecture, Applied Machine Learning, Performance Tuning, Kubernetes, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Pipelines, Statistical Inference, Debugging

Google Cloud

Using Ruby on Rails with Cloud SQL for PostgreSQL on Cloud Run

Skills you'll gain: Google Cloud Platform, Cloud Applications, Ruby on Rails, Application Deployment, PostgreSQL, CI/CD, Object-Relational Mapping, Cloud Storage, Database Application, Key Management, Relational Databases

Google Cloud

Machine Learning with Spark on Google Cloud Dataproc

Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

Google Cloud

Gemini for Data Scientists and Analysts

Skills you'll gain: Big Data, Google Cloud Platform, Marketing Analytics, Generative AI, Data Analysis, Machine Learning Methods, Predictive Analytics, Data-Driven Decision-Making, Forecasting

Google Cloud

Setting up Jenkins on Kubernetes Engine

Skills you'll gain: Jenkins, Kubernetes, CI/CD, Continuous Integration, Application Deployment, Google Cloud Platform, Continuous Delivery, Containerization

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Infrastructure, Machine Learning, Analytics, Systems Design, Data Processing, Data Pipelines, Data Integrity, Data Architecture, Big Data, Data Warehousing, Data Storytelling, Cloud Security, Cloud Computing, Data Storage, Scalability, Cloud Storage, SQL

Status: Free

Google Cloud

Summarize Text using SQL and LLMs in BigQuery ML

Skills you'll gain: Google Cloud Platform, Generative AI, Cloud API, Natural Language Processing, GitHub, Text Mining, Other Programming Languages

Google Cloud

Data Catalog: Qwik Start

Skills you'll gain: Metadata Management, Data Dictionary, Google Cloud Platform, Data Mining, Big Data, Data Management, Cloud API

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Introduction to Large Language Models - 简体中文

Configuring IAM Permissions with gCloud - Azure