Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses for its end-user products. Coursera's GCP catalogue teaches you how to utilize Google's state-of-the-art cloud technology to create, implement, and scale applications. You'll learn about the various GCP services such as computing and hosting services, machine learning services, networking, big data, storage and databases, IoT, and API platforms. You'll also develop skills in deploying and monitoring cloud solutions, managing and analyzing data, and implementing AI and machine learning models. Harness the power of Google's pioneering cloud technologies and set yourself apart in the thriving IT industry.
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Results for "google cloud platform"

  • Skills you'll gain: No-Code Development, Application Deployment, Google Cloud Platform, Cloud Applications, Google Workspace, Product Automation, Application Design

  • Skills you'll gain: Cloud Infrastructure, Kubernetes, Google Cloud Platform, Virtual Machines, Istio, Load Balancing, Application Deployment, Serverless Computing, Redis, Virtual Local Area Network (VLAN), Test Tools, Linux

  • Skills you'll gain: Big Data, Google Cloud Platform, Data Access, SQL, Query Languages

  • Skills you'll gain: Google App Engine, Application Deployment, Cloud Infrastructure, Google Cloud Platform, Go (Programming Language), Cloud Applications, Software Testing, Cloud API, Platform As A Service (PaaS)

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Data Quality, Data Validation

  • Skills you'll gain: Document Management, Google Cloud Platform, Jupyter, Data Capture, Cloud Storage, Data Wrangling, Cloud Platforms, Data Management

  • Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Google Cloud Platform, Predictive Modeling, Big Data, Data Analysis, Data Analysis Software, Data Manipulation, Exploratory Data Analysis, Cloud Storage

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Cloud Infrastructure, Identity and Access Management, MLOps (Machine Learning Operations), Big Data, AI Personalization, Data Visualization Software, Data Integration, Cloud Security, Data Integrity, Performance Tuning, Looker (Software), Data Security, Tensorflow, Cloud Computing, Data Processing

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

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Ethics, Responsible AI, Machine Learning

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Artificial Intelligence

  • Status: Free Trial

    Skills you'll gain: Google Gemini, Kubernetes, DevOps, Google Cloud Platform, Generative AI, Development Environment, Infrastructure Architecture, Cloud Management, Prompt Engineering

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a ₩25,651,515 median salary ¹.

    description:

    A Cloud Architect designs and manages cloud solutions for security, scalability, and efficiency, using AWS, Azure, and Google Cloud.

    This role has a ₩25,651,515 median salary ¹.

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