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: Redis, Performance Tuning, Scalability, Google Cloud Platform, Servers, Data Architecture, Network Architecture, Data Analysis

  • Skills you'll gain: Google Gemini, Prompt Engineering, Google Cloud Platform, Generative AI, Prompt Patterns, Large Language Modeling

  • Status: Free

    Skills you'll gain: Data Loss Prevention, Google Gemini, Generative AI, Personally Identifiable Information, Cloud API, Jupyter, Google Cloud Platform, Data Security, Scripting Languages

  • Skills you'll gain: Google Cloud Platform, Data Lakes, Metadata Management, Taxonomy, MLOps (Machine Learning Operations)

  • Skills you'll gain: Authentications, Cloud API, Google Cloud Platform, Document Management, Real Time Data, Unstructured Data, Software Installation

  • Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Jupyter, Game Design

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

  • Skills you'll gain: Dashboard, Data Sharing, Cloud Computing, Big Data, Data Access, Google Cloud Platform, Data Visualization, Data Management

  • Skills you'll gain: Cloud Infrastructure, Terraform, Kubernetes, Google Cloud Platform, Infrastructure as Code (IaC), Nginx, Load Balancing, Containerization

  • Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning

  • Skills you'll gain: Kubernetes, Docker (Software), Application Deployment, Google App Engine, Google Cloud Platform, Distributed Computing, Performance Testing, DevOps, Restful API, Web Development

  • Status: Free Trial

    Skills you'll gain: Unstructured Data, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Machine Learning, Data Pipelines, Predictive Modeling, Jupyter, Natural Language Processing

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a ₩25,811,791 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 ₩25,811,791 median salary ¹.

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